from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy


class Histogram(_BaseTraceType):

    # class properties
    # --------------------
    _parent_path_str = ""
    _path_str = "histogram"
    _valid_props = {
        "alignmentgroup",
        "autobinx",
        "autobiny",
        "bingroup",
        "cumulative",
        "customdata",
        "customdatasrc",
        "error_x",
        "error_y",
        "histfunc",
        "histnorm",
        "hoverinfo",
        "hoverinfosrc",
        "hoverlabel",
        "hovertemplate",
        "hovertemplatesrc",
        "hovertext",
        "hovertextsrc",
        "ids",
        "idssrc",
        "legendgroup",
        "marker",
        "meta",
        "metasrc",
        "name",
        "nbinsx",
        "nbinsy",
        "offsetgroup",
        "opacity",
        "orientation",
        "selected",
        "selectedpoints",
        "showlegend",
        "stream",
        "text",
        "textsrc",
        "type",
        "uid",
        "uirevision",
        "unselected",
        "visible",
        "x",
        "xaxis",
        "xbins",
        "xcalendar",
        "xsrc",
        "y",
        "yaxis",
        "ybins",
        "ycalendar",
        "ysrc",
    }

    # alignmentgroup
    # --------------
    @property
    def alignmentgroup(self):
        """
        Set several traces linked to the same position axis or matching
        axes to the same alignmentgroup. This controls whether bars
        compute their positional range dependently or independently.
    
        The 'alignmentgroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self["alignmentgroup"]

    @alignmentgroup.setter
    def alignmentgroup(self, val):
        self["alignmentgroup"] = val

    # autobinx
    # --------
    @property
    def autobinx(self):
        """
        Obsolete: since v1.42 each bin attribute is auto-determined
        separately and `autobinx` is not needed. However, we accept
        `autobinx: true` or `false` and will update `xbins` accordingly
        before deleting `autobinx` from the trace.
    
        The 'autobinx' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["autobinx"]

    @autobinx.setter
    def autobinx(self, val):
        self["autobinx"] = val

    # autobiny
    # --------
    @property
    def autobiny(self):
        """
        Obsolete: since v1.42 each bin attribute is auto-determined
        separately and `autobiny` is not needed. However, we accept
        `autobiny: true` or `false` and will update `ybins` accordingly
        before deleting `autobiny` from the trace.
    
        The 'autobiny' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["autobiny"]

    @autobiny.setter
    def autobiny(self, val):
        self["autobiny"] = val

    # bingroup
    # --------
    @property
    def bingroup(self):
        """
        Set a group of histogram traces which will have compatible bin
        settings. Note that traces on the same subplot and with the
        same "orientation" under `barmode` "stack", "relative" and
        "group" are forced into the same bingroup, Using `bingroup`,
        traces under `barmode` "overlay" and on different axes (of the
        same axis type) can have compatible bin settings. Note that
        histogram and histogram2d* trace can share the same `bingroup`
    
        The 'bingroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self["bingroup"]

    @bingroup.setter
    def bingroup(self, val):
        self["bingroup"] = val

    # cumulative
    # ----------
    @property
    def cumulative(self):
        """
        The 'cumulative' property is an instance of Cumulative
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.Cumulative`
          - A dict of string/value properties that will be passed
            to the Cumulative constructor
    
            Supported dict properties:
                
                currentbin
                    Only applies if cumulative is enabled. Sets
                    whether the current bin is included, excluded,
                    or has half of its value included in the
                    current cumulative value. "include" is the
                    default for compatibility with various other
                    tools, however it introduces a half-bin bias to
                    the results. "exclude" makes the opposite half-
                    bin bias, and "half" removes it.
                direction
                    Only applies if cumulative is enabled. If
                    "increasing" (default) we sum all prior bins,
                    so the result increases from left to right. If
                    "decreasing" we sum later bins so the result
                    decreases from left to right.
                enabled
                    If true, display the cumulative distribution by
                    summing the binned values. Use the `direction`
                    and `centralbin` attributes to tune the
                    accumulation method. Note: in this mode, the
                    "density" `histnorm` settings behave the same
                    as their equivalents without "density": "" and
                    "density" both rise to the number of data
                    points, and "probability" and *probability
                    density* both rise to the number of sample
                    points.

        Returns
        -------
        plotly.graph_objs.histogram.Cumulative
        """
        return self["cumulative"]

    @cumulative.setter
    def cumulative(self, val):
        self["cumulative"] = val

    # customdata
    # ----------
    @property
    def customdata(self):
        """
        Assigns extra data each datum. This may be useful when
        listening to hover, click and selection events. Note that,
        "scatter" traces also appends customdata items in the markers
        DOM elements
    
        The 'customdata' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self["customdata"]

    @customdata.setter
    def customdata(self, val):
        self["customdata"] = val

    # customdatasrc
    # -------------
    @property
    def customdatasrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  customdata
        .
    
        The 'customdatasrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["customdatasrc"]

    @customdatasrc.setter
    def customdatasrc(self, val):
        self["customdatasrc"] = val

    # error_x
    # -------
    @property
    def error_x(self):
        """
        The 'error_x' property is an instance of ErrorX
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.ErrorX`
          - A dict of string/value properties that will be passed
            to the ErrorX constructor
    
            Supported dict properties:
                
                array
                    Sets the data corresponding the length of each
                    error bar. Values are plotted relative to the
                    underlying data.
                arrayminus
                    Sets the data corresponding the length of each
                    error bar in the bottom (left) direction for
                    vertical (horizontal) bars Values are plotted
                    relative to the underlying data.
                arrayminussrc
                    Sets the source reference on Chart Studio Cloud
                    for  arrayminus .
                arraysrc
                    Sets the source reference on Chart Studio Cloud
                    for  array .
                color
                    Sets the stoke color of the error bars.
                copy_ystyle
    
                symmetric
                    Determines whether or not the error bars have
                    the same length in both direction (top/bottom
                    for vertical bars, left/right for horizontal
                    bars.
                thickness
                    Sets the thickness (in px) of the error bars.
                traceref
    
                tracerefminus
    
                type
                    Determines the rule used to generate the error
                    bars. If *constant`, the bar lengths are of a
                    constant value. Set this constant in `value`.
                    If "percent", the bar lengths correspond to a
                    percentage of underlying data. Set this
                    percentage in `value`. If "sqrt", the bar
                    lengths correspond to the square of the
                    underlying data. If "data", the bar lengths are
                    set with data set `array`.
                value
                    Sets the value of either the percentage (if
                    `type` is set to "percent") or the constant (if
                    `type` is set to "constant") corresponding to
                    the lengths of the error bars.
                valueminus
                    Sets the value of either the percentage (if
                    `type` is set to "percent") or the constant (if
                    `type` is set to "constant") corresponding to
                    the lengths of the error bars in the bottom
                    (left) direction for vertical (horizontal) bars
                visible
                    Determines whether or not this set of error
                    bars is visible.
                width
                    Sets the width (in px) of the cross-bar at both
                    ends of the error bars.

        Returns
        -------
        plotly.graph_objs.histogram.ErrorX
        """
        return self["error_x"]

    @error_x.setter
    def error_x(self, val):
        self["error_x"] = val

    # error_y
    # -------
    @property
    def error_y(self):
        """
        The 'error_y' property is an instance of ErrorY
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.ErrorY`
          - A dict of string/value properties that will be passed
            to the ErrorY constructor
    
            Supported dict properties:
                
                array
                    Sets the data corresponding the length of each
                    error bar. Values are plotted relative to the
                    underlying data.
                arrayminus
                    Sets the data corresponding the length of each
                    error bar in the bottom (left) direction for
                    vertical (horizontal) bars Values are plotted
                    relative to the underlying data.
                arrayminussrc
                    Sets the source reference on Chart Studio Cloud
                    for  arrayminus .
                arraysrc
                    Sets the source reference on Chart Studio Cloud
                    for  array .
                color
                    Sets the stoke color of the error bars.
                symmetric
                    Determines whether or not the error bars have
                    the same length in both direction (top/bottom
                    for vertical bars, left/right for horizontal
                    bars.
                thickness
                    Sets the thickness (in px) of the error bars.
                traceref
    
                tracerefminus
    
                type
                    Determines the rule used to generate the error
                    bars. If *constant`, the bar lengths are of a
                    constant value. Set this constant in `value`.
                    If "percent", the bar lengths correspond to a
                    percentage of underlying data. Set this
                    percentage in `value`. If "sqrt", the bar
                    lengths correspond to the square of the
                    underlying data. If "data", the bar lengths are
                    set with data set `array`.
                value
                    Sets the value of either the percentage (if
                    `type` is set to "percent") or the constant (if
                    `type` is set to "constant") corresponding to
                    the lengths of the error bars.
                valueminus
                    Sets the value of either the percentage (if
                    `type` is set to "percent") or the constant (if
                    `type` is set to "constant") corresponding to
                    the lengths of the error bars in the bottom
                    (left) direction for vertical (horizontal) bars
                visible
                    Determines whether or not this set of error
                    bars is visible.
                width
                    Sets the width (in px) of the cross-bar at both
                    ends of the error bars.

        Returns
        -------
        plotly.graph_objs.histogram.ErrorY
        """
        return self["error_y"]

    @error_y.setter
    def error_y(self, val):
        self["error_y"] = val

    # histfunc
    # --------
    @property
    def histfunc(self):
        """
        Specifies the binning function used for this histogram trace.
        If "count", the histogram values are computed by counting the
        number of values lying inside each bin. If "sum", "avg", "min",
        "max", the histogram values are computed using the sum, the
        average, the minimum or the maximum of the values lying inside
        each bin respectively.
    
        The 'histfunc' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['count', 'sum', 'avg', 'min', 'max']

        Returns
        -------
        Any
        """
        return self["histfunc"]

    @histfunc.setter
    def histfunc(self, val):
        self["histfunc"] = val

    # histnorm
    # --------
    @property
    def histnorm(self):
        """
        Specifies the type of normalization used for this histogram
        trace. If "", the span of each bar corresponds to the number of
        occurrences (i.e. the number of data points lying inside the
        bins). If "percent" / "probability", the span of each bar
        corresponds to the percentage / fraction of occurrences with
        respect to the total number of sample points (here, the sum of
        all bin HEIGHTS equals 100% / 1). If "density", the span of
        each bar corresponds to the number of occurrences in a bin
        divided by the size of the bin interval (here, the sum of all
        bin AREAS equals the total number of sample points). If
        *probability density*, the area of each bar corresponds to the
        probability that an event will fall into the corresponding bin
        (here, the sum of all bin AREAS equals 1).
    
        The 'histnorm' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['', 'percent', 'probability', 'density', 'probability
                density']

        Returns
        -------
        Any
        """
        return self["histnorm"]

    @histnorm.setter
    def histnorm(self, val):
        self["histnorm"] = val

    # hoverinfo
    # ---------
    @property
    def hoverinfo(self):
        """
        Determines which trace information appear on hover. If `none`
        or `skip` are set, no information is displayed upon hovering.
        But, if `none` is set, click and hover events are still fired.
    
        The 'hoverinfo' property is a flaglist and may be specified
        as a string containing:
          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
            (e.g. 'x+y')
            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
          - A list or array of the above

        Returns
        -------
        Any|numpy.ndarray
        """
        return self["hoverinfo"]

    @hoverinfo.setter
    def hoverinfo(self, val):
        self["hoverinfo"] = val

    # hoverinfosrc
    # ------------
    @property
    def hoverinfosrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  hoverinfo
        .
    
        The 'hoverinfosrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["hoverinfosrc"]

    @hoverinfosrc.setter
    def hoverinfosrc(self, val):
        self["hoverinfosrc"] = val

    # hoverlabel
    # ----------
    @property
    def hoverlabel(self):
        """
        The 'hoverlabel' property is an instance of Hoverlabel
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.Hoverlabel`
          - A dict of string/value properties that will be passed
            to the Hoverlabel constructor
    
            Supported dict properties:
                
                align
                    Sets the horizontal alignment of the text
                    content within hover label box. Has an effect
                    only if the hover label text spans more two or
                    more lines
                alignsrc
                    Sets the source reference on Chart Studio Cloud
                    for  align .
                bgcolor
                    Sets the background color of the hover labels
                    for this trace
                bgcolorsrc
                    Sets the source reference on Chart Studio Cloud
                    for  bgcolor .
                bordercolor
                    Sets the border color of the hover labels for
                    this trace.
                bordercolorsrc
                    Sets the source reference on Chart Studio Cloud
                    for  bordercolor .
                font
                    Sets the font used in hover labels.
                namelength
                    Sets the default length (in number of
                    characters) of the trace name in the hover
                    labels for all traces. -1 shows the whole name
                    regardless of length. 0-3 shows the first 0-3
                    characters, and an integer >3 will show the
                    whole name if it is less than that many
                    characters, but if it is longer, will truncate
                    to `namelength - 3` characters and add an
                    ellipsis.
                namelengthsrc
                    Sets the source reference on Chart Studio Cloud
                    for  namelength .

        Returns
        -------
        plotly.graph_objs.histogram.Hoverlabel
        """
        return self["hoverlabel"]

    @hoverlabel.setter
    def hoverlabel(self, val):
        self["hoverlabel"] = val

    # hovertemplate
    # -------------
    @property
    def hovertemplate(self):
        """
        Template string used for rendering the information that appear
        on hover box. Note that this will override `hoverinfo`.
        Variables are inserted using %{variable}, for example "y:
        %{y}". Numbers are formatted using d3-format's syntax
        %{variable:d3-format}, for example "Price: %{y:$.2f}".
        https://github.com/d3/d3-3.x-api-
        reference/blob/master/Formatting.md#d3_format for details on
        the formatting syntax. Dates are formatted using d3-time-
        format's syntax %{variable|d3-time-format}, for example "Day:
        %{2019-01-01|%A}". https://github.com/d3/d3-time-
        format#locale_format for details on the date formatting syntax.
        The variables available in `hovertemplate` are the ones emitted
        as event data described at this link
        https://plotly.com/javascript/plotlyjs-events/#event-data.
        Additionally, every attributes that can be specified per-point
        (the ones that are `arrayOk: true`) are available. variable
        `binNumber` Anything contained in tag `<extra>` is displayed in
        the secondary box, for example
        "<extra>{fullData.name}</extra>". To hide the secondary box
        completely, use an empty tag `<extra></extra>`.
    
        The 'hovertemplate' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

        Returns
        -------
        str|numpy.ndarray
        """
        return self["hovertemplate"]

    @hovertemplate.setter
    def hovertemplate(self, val):
        self["hovertemplate"] = val

    # hovertemplatesrc
    # ----------------
    @property
    def hovertemplatesrc(self):
        """
        Sets the source reference on Chart Studio Cloud for
        hovertemplate .
    
        The 'hovertemplatesrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["hovertemplatesrc"]

    @hovertemplatesrc.setter
    def hovertemplatesrc(self, val):
        self["hovertemplatesrc"] = val

    # hovertext
    # ---------
    @property
    def hovertext(self):
        """
        Same as `text`.
    
        The 'hovertext' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

        Returns
        -------
        str|numpy.ndarray
        """
        return self["hovertext"]

    @hovertext.setter
    def hovertext(self, val):
        self["hovertext"] = val

    # hovertextsrc
    # ------------
    @property
    def hovertextsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  hovertext
        .
    
        The 'hovertextsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["hovertextsrc"]

    @hovertextsrc.setter
    def hovertextsrc(self, val):
        self["hovertextsrc"] = val

    # ids
    # ---
    @property
    def ids(self):
        """
        Assigns id labels to each datum. These ids for object constancy
        of data points during animation. Should be an array of strings,
        not numbers or any other type.
    
        The 'ids' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self["ids"]

    @ids.setter
    def ids(self, val):
        self["ids"] = val

    # idssrc
    # ------
    @property
    def idssrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  ids .
    
        The 'idssrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["idssrc"]

    @idssrc.setter
    def idssrc(self, val):
        self["idssrc"] = val

    # legendgroup
    # -----------
    @property
    def legendgroup(self):
        """
        Sets the legend group for this trace. Traces part of the same
        legend group hide/show at the same time when toggling legend
        items.
    
        The 'legendgroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self["legendgroup"]

    @legendgroup.setter
    def legendgroup(self, val):
        self["legendgroup"] = val

    # marker
    # ------
    @property
    def marker(self):
        """
        The 'marker' property is an instance of Marker
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.Marker`
          - A dict of string/value properties that will be passed
            to the Marker constructor
    
            Supported dict properties:
                
                autocolorscale
                    Determines whether the colorscale is a default
                    palette (`autocolorscale: true`) or the palette
                    determined by `marker.colorscale`. Has an
                    effect only if in `marker.color`is set to a
                    numerical array. In case `colorscale` is
                    unspecified or `autocolorscale` is true, the
                    default  palette will be chosen according to
                    whether numbers in the `color` array are all
                    positive, all negative or mixed.
                cauto
                    Determines whether or not the color domain is
                    computed with respect to the input data (here
                    in `marker.color`) or the bounds set in
                    `marker.cmin` and `marker.cmax`  Has an effect
                    only if in `marker.color`is set to a numerical
                    array. Defaults to `false` when `marker.cmin`
                    and `marker.cmax` are set by the user.
                cmax
                    Sets the upper bound of the color domain. Has
                    an effect only if in `marker.color`is set to a
                    numerical array. Value should have the same
                    units as in `marker.color` and if set,
                    `marker.cmin` must be set as well.
                cmid
                    Sets the mid-point of the color domain by
                    scaling `marker.cmin` and/or `marker.cmax` to
                    be equidistant to this point. Has an effect
                    only if in `marker.color`is set to a numerical
                    array. Value should have the same units as in
                    `marker.color`. Has no effect when
                    `marker.cauto` is `false`.
                cmin
                    Sets the lower bound of the color domain. Has
                    an effect only if in `marker.color`is set to a
                    numerical array. Value should have the same
                    units as in `marker.color` and if set,
                    `marker.cmax` must be set as well.
                color
                    Sets themarkercolor. It accepts either a
                    specific color or an array of numbers that are
                    mapped to the colorscale relative to the max
                    and min values of the array or relative to
                    `marker.cmin` and `marker.cmax` if set.
                coloraxis
                    Sets a reference to a shared color axis.
                    References to these shared color axes are
                    "coloraxis", "coloraxis2", "coloraxis3", etc.
                    Settings for these shared color axes are set in
                    the layout, under `layout.coloraxis`,
                    `layout.coloraxis2`, etc. Note that multiple
                    color scales can be linked to the same color
                    axis.
                colorbar
                    :class:`plotly.graph_objects.histogram.marker.C
                    olorBar` instance or dict with compatible
                    properties
                colorscale
                    Sets the colorscale. Has an effect only if in
                    `marker.color`is set to a numerical array. The
                    colorscale must be an array containing arrays
                    mapping a normalized value to an rgb, rgba,
                    hex, hsl, hsv, or named color string. At
                    minimum, a mapping for the lowest (0) and
                    highest (1) values are required. For example,
                    `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`.
                    To control the bounds of the colorscale in
                    color space, use`marker.cmin` and
                    `marker.cmax`. Alternatively, `colorscale` may
                    be a palette name string of the following list:
                    Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
                    ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,E
                    arth,Electric,Viridis,Cividis.
                colorsrc
                    Sets the source reference on Chart Studio Cloud
                    for  color .
                line
                    :class:`plotly.graph_objects.histogram.marker.L
                    ine` instance or dict with compatible
                    properties
                opacity
                    Sets the opacity of the bars.
                opacitysrc
                    Sets the source reference on Chart Studio Cloud
                    for  opacity .
                reversescale
                    Reverses the color mapping if true. Has an
                    effect only if in `marker.color`is set to a
                    numerical array. If true, `marker.cmin` will
                    correspond to the last color in the array and
                    `marker.cmax` will correspond to the first
                    color.
                showscale
                    Determines whether or not a colorbar is
                    displayed for this trace. Has an effect only if
                    in `marker.color`is set to a numerical array.

        Returns
        -------
        plotly.graph_objs.histogram.Marker
        """
        return self["marker"]

    @marker.setter
    def marker(self, val):
        self["marker"] = val

    # meta
    # ----
    @property
    def meta(self):
        """
        Assigns extra meta information associated with this trace that
        can be used in various text attributes. Attributes such as
        trace `name`, graph, axis and colorbar `title.text`, annotation
        `text` `rangeselector`, `updatemenues` and `sliders` `label`
        text all support `meta`. To access the trace `meta` values in
        an attribute in the same trace, simply use `%{meta[i]}` where
        `i` is the index or key of the `meta` item in question. To
        access trace `meta` in layout attributes, use
        `%{data[n[.meta[i]}` where `i` is the index or key of the
        `meta` and `n` is the trace index.
    
        The 'meta' property accepts values of any type

        Returns
        -------
        Any|numpy.ndarray
        """
        return self["meta"]

    @meta.setter
    def meta(self, val):
        self["meta"] = val

    # metasrc
    # -------
    @property
    def metasrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  meta .
    
        The 'metasrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["metasrc"]

    @metasrc.setter
    def metasrc(self, val):
        self["metasrc"] = val

    # name
    # ----
    @property
    def name(self):
        """
        Sets the trace name. The trace name appear as the legend item
        and on hover.
    
        The 'name' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self["name"]

    @name.setter
    def name(self, val):
        self["name"] = val

    # nbinsx
    # ------
    @property
    def nbinsx(self):
        """
        Specifies the maximum number of desired bins. This value will
        be used in an algorithm that will decide the optimal bin size
        such that the histogram best visualizes the distribution of the
        data. Ignored if `xbins.size` is provided.
    
        The 'nbinsx' property is a integer and may be specified as:
          - An int (or float that will be cast to an int)
            in the interval [0, 9223372036854775807]

        Returns
        -------
        int
        """
        return self["nbinsx"]

    @nbinsx.setter
    def nbinsx(self, val):
        self["nbinsx"] = val

    # nbinsy
    # ------
    @property
    def nbinsy(self):
        """
        Specifies the maximum number of desired bins. This value will
        be used in an algorithm that will decide the optimal bin size
        such that the histogram best visualizes the distribution of the
        data. Ignored if `ybins.size` is provided.
    
        The 'nbinsy' property is a integer and may be specified as:
          - An int (or float that will be cast to an int)
            in the interval [0, 9223372036854775807]

        Returns
        -------
        int
        """
        return self["nbinsy"]

    @nbinsy.setter
    def nbinsy(self, val):
        self["nbinsy"] = val

    # offsetgroup
    # -----------
    @property
    def offsetgroup(self):
        """
        Set several traces linked to the same position axis or matching
        axes to the same offsetgroup where bars of the same position
        coordinate will line up.
    
        The 'offsetgroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self["offsetgroup"]

    @offsetgroup.setter
    def offsetgroup(self, val):
        self["offsetgroup"] = val

    # opacity
    # -------
    @property
    def opacity(self):
        """
        Sets the opacity of the trace.
    
        The 'opacity' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

        Returns
        -------
        int|float
        """
        return self["opacity"]

    @opacity.setter
    def opacity(self, val):
        self["opacity"] = val

    # orientation
    # -----------
    @property
    def orientation(self):
        """
        Sets the orientation of the bars. With "v" ("h"), the value of
        the each bar spans along the vertical (horizontal).
    
        The 'orientation' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['v', 'h']

        Returns
        -------
        Any
        """
        return self["orientation"]

    @orientation.setter
    def orientation(self, val):
        self["orientation"] = val

    # selected
    # --------
    @property
    def selected(self):
        """
        The 'selected' property is an instance of Selected
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.Selected`
          - A dict of string/value properties that will be passed
            to the Selected constructor
    
            Supported dict properties:
                
                marker
                    :class:`plotly.graph_objects.histogram.selected
                    .Marker` instance or dict with compatible
                    properties
                textfont
                    :class:`plotly.graph_objects.histogram.selected
                    .Textfont` instance or dict with compatible
                    properties

        Returns
        -------
        plotly.graph_objs.histogram.Selected
        """
        return self["selected"]

    @selected.setter
    def selected(self, val):
        self["selected"] = val

    # selectedpoints
    # --------------
    @property
    def selectedpoints(self):
        """
        Array containing integer indices of selected points. Has an
        effect only for traces that support selections. Note that an
        empty array means an empty selection where the `unselected` are
        turned on for all points, whereas, any other non-array values
        means no selection all where the `selected` and `unselected`
        styles have no effect.
    
        The 'selectedpoints' property accepts values of any type

        Returns
        -------
        Any
        """
        return self["selectedpoints"]

    @selectedpoints.setter
    def selectedpoints(self, val):
        self["selectedpoints"] = val

    # showlegend
    # ----------
    @property
    def showlegend(self):
        """
        Determines whether or not an item corresponding to this trace
        is shown in the legend.
    
        The 'showlegend' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["showlegend"]

    @showlegend.setter
    def showlegend(self, val):
        self["showlegend"] = val

    # stream
    # ------
    @property
    def stream(self):
        """
        The 'stream' property is an instance of Stream
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.Stream`
          - A dict of string/value properties that will be passed
            to the Stream constructor
    
            Supported dict properties:
                
                maxpoints
                    Sets the maximum number of points to keep on
                    the plots from an incoming stream. If
                    `maxpoints` is set to 50, only the newest 50
                    points will be displayed on the plot.
                token
                    The stream id number links a data trace on a
                    plot with a stream. See https://chart-
                    studio.plotly.com/settings for more details.

        Returns
        -------
        plotly.graph_objs.histogram.Stream
        """
        return self["stream"]

    @stream.setter
    def stream(self, val):
        self["stream"] = val

    # text
    # ----
    @property
    def text(self):
        """
        Sets hover text elements associated with each bar. If a single
        string, the same string appears over all bars. If an array of
        string, the items are mapped in order to the this trace's
        coordinates.
    
        The 'text' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

        Returns
        -------
        str|numpy.ndarray
        """
        return self["text"]

    @text.setter
    def text(self, val):
        self["text"] = val

    # textsrc
    # -------
    @property
    def textsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  text .
    
        The 'textsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["textsrc"]

    @textsrc.setter
    def textsrc(self, val):
        self["textsrc"] = val

    # uid
    # ---
    @property
    def uid(self):
        """
        Assign an id to this trace, Use this to provide object
        constancy between traces during animations and transitions.
    
        The 'uid' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self["uid"]

    @uid.setter
    def uid(self, val):
        self["uid"] = val

    # uirevision
    # ----------
    @property
    def uirevision(self):
        """
        Controls persistence of some user-driven changes to the trace:
        `constraintrange` in `parcoords` traces, as well as some
        `editable: true` modifications such as `name` and
        `colorbar.title`. Defaults to `layout.uirevision`. Note that
        other user-driven trace attribute changes are controlled by
        `layout` attributes: `trace.visible` is controlled by
        `layout.legend.uirevision`, `selectedpoints` is controlled by
        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
        with `config: {editable: true}`) is controlled by
        `layout.editrevision`. Trace changes are tracked by `uid`,
        which only falls back on trace index if no `uid` is provided.
        So if your app can add/remove traces before the end of the
        `data` array, such that the same trace has a different index,
        you can still preserve user-driven changes if you give each
        trace a `uid` that stays with it as it moves.
    
        The 'uirevision' property accepts values of any type

        Returns
        -------
        Any
        """
        return self["uirevision"]

    @uirevision.setter
    def uirevision(self, val):
        self["uirevision"] = val

    # unselected
    # ----------
    @property
    def unselected(self):
        """
        The 'unselected' property is an instance of Unselected
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.Unselected`
          - A dict of string/value properties that will be passed
            to the Unselected constructor
    
            Supported dict properties:
                
                marker
                    :class:`plotly.graph_objects.histogram.unselect
                    ed.Marker` instance or dict with compatible
                    properties
                textfont
                    :class:`plotly.graph_objects.histogram.unselect
                    ed.Textfont` instance or dict with compatible
                    properties

        Returns
        -------
        plotly.graph_objs.histogram.Unselected
        """
        return self["unselected"]

    @unselected.setter
    def unselected(self, val):
        self["unselected"] = val

    # visible
    # -------
    @property
    def visible(self):
        """
        Determines whether or not this trace is visible. If
        "legendonly", the trace is not drawn, but can appear as a
        legend item (provided that the legend itself is visible).
    
        The 'visible' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                [True, False, 'legendonly']

        Returns
        -------
        Any
        """
        return self["visible"]

    @visible.setter
    def visible(self, val):
        self["visible"] = val

    # x
    # -
    @property
    def x(self):
        """
        Sets the sample data to be binned on the x axis.
    
        The 'x' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self["x"]

    @x.setter
    def x(self, val):
        self["x"] = val

    # xaxis
    # -----
    @property
    def xaxis(self):
        """
        Sets a reference between this trace's x coordinates and a 2D
        cartesian x axis. If "x" (the default value), the x coordinates
        refer to `layout.xaxis`. If "x2", the x coordinates refer to
        `layout.xaxis2`, and so on.
    
        The 'xaxis' property is an identifier of a particular
        subplot, of type 'x', that may be specified as the string 'x'
        optionally followed by an integer >= 1
        (e.g. 'x', 'x1', 'x2', 'x3', etc.)

        Returns
        -------
        str
        """
        return self["xaxis"]

    @xaxis.setter
    def xaxis(self, val):
        self["xaxis"] = val

    # xbins
    # -----
    @property
    def xbins(self):
        """
        The 'xbins' property is an instance of XBins
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.XBins`
          - A dict of string/value properties that will be passed
            to the XBins constructor
    
            Supported dict properties:
                
                end
                    Sets the end value for the x axis bins. The
                    last bin may not end exactly at this value, we
                    increment the bin edge by `size` from `start`
                    until we reach or exceed `end`. Defaults to the
                    maximum data value. Like `start`, for dates use
                    a date string, and for category data `end` is
                    based on the category serial numbers.
                size
                    Sets the size of each x axis bin. Default
                    behavior: If `nbinsx` is 0 or omitted, we
                    choose a nice round bin size such that the
                    number of bins is about the same as the typical
                    number of samples in each bin. If `nbinsx` is
                    provided, we choose a nice round bin size
                    giving no more than that many bins. For date
                    data, use milliseconds or "M<n>" for months, as
                    in `axis.dtick`. For category data, the number
                    of categories to bin together (always defaults
                    to 1). If multiple non-overlaying histograms
                    share a subplot, the first explicit `size` is
                    used and all others discarded. If no `size` is
                    provided,the sample data from all traces is
                    combined to determine `size` as described
                    above.
                start
                    Sets the starting value for the x axis bins.
                    Defaults to the minimum data value, shifted
                    down if necessary to make nice round values and
                    to remove ambiguous bin edges. For example, if
                    most of the data is integers we shift the bin
                    edges 0.5 down, so a `size` of 5 would have a
                    default `start` of -0.5, so it is clear that
                    0-4 are in the first bin, 5-9 in the second,
                    but continuous data gets a start of 0 and bins
                    [0,5), [5,10) etc. Dates behave similarly, and
                    `start` should be a date string. For category
                    data, `start` is based on the category serial
                    numbers, and defaults to -0.5. If multiple non-
                    overlaying histograms share a subplot, the
                    first explicit `start` is used exactly and all
                    others are shifted down (if necessary) to
                    differ from that one by an integer number of
                    bins.

        Returns
        -------
        plotly.graph_objs.histogram.XBins
        """
        return self["xbins"]

    @xbins.setter
    def xbins(self, val):
        self["xbins"] = val

    # xcalendar
    # ---------
    @property
    def xcalendar(self):
        """
        Sets the calendar system to use with `x` date data.
    
        The 'xcalendar' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['gregorian', 'chinese', 'coptic', 'discworld',
                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
                'thai', 'ummalqura']

        Returns
        -------
        Any
        """
        return self["xcalendar"]

    @xcalendar.setter
    def xcalendar(self, val):
        self["xcalendar"] = val

    # xsrc
    # ----
    @property
    def xsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  x .
    
        The 'xsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["xsrc"]

    @xsrc.setter
    def xsrc(self, val):
        self["xsrc"] = val

    # y
    # -
    @property
    def y(self):
        """
        Sets the sample data to be binned on the y axis.
    
        The 'y' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self["y"]

    @y.setter
    def y(self, val):
        self["y"] = val

    # yaxis
    # -----
    @property
    def yaxis(self):
        """
        Sets a reference between this trace's y coordinates and a 2D
        cartesian y axis. If "y" (the default value), the y coordinates
        refer to `layout.yaxis`. If "y2", the y coordinates refer to
        `layout.yaxis2`, and so on.
    
        The 'yaxis' property is an identifier of a particular
        subplot, of type 'y', that may be specified as the string 'y'
        optionally followed by an integer >= 1
        (e.g. 'y', 'y1', 'y2', 'y3', etc.)

        Returns
        -------
        str
        """
        return self["yaxis"]

    @yaxis.setter
    def yaxis(self, val):
        self["yaxis"] = val

    # ybins
    # -----
    @property
    def ybins(self):
        """
        The 'ybins' property is an instance of YBins
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram.YBins`
          - A dict of string/value properties that will be passed
            to the YBins constructor
    
            Supported dict properties:
                
                end
                    Sets the end value for the y axis bins. The
                    last bin may not end exactly at this value, we
                    increment the bin edge by `size` from `start`
                    until we reach or exceed `end`. Defaults to the
                    maximum data value. Like `start`, for dates use
                    a date string, and for category data `end` is
                    based on the category serial numbers.
                size
                    Sets the size of each y axis bin. Default
                    behavior: If `nbinsy` is 0 or omitted, we
                    choose a nice round bin size such that the
                    number of bins is about the same as the typical
                    number of samples in each bin. If `nbinsy` is
                    provided, we choose a nice round bin size
                    giving no more than that many bins. For date
                    data, use milliseconds or "M<n>" for months, as
                    in `axis.dtick`. For category data, the number
                    of categories to bin together (always defaults
                    to 1). If multiple non-overlaying histograms
                    share a subplot, the first explicit `size` is
                    used and all others discarded. If no `size` is
                    provided,the sample data from all traces is
                    combined to determine `size` as described
                    above.
                start
                    Sets the starting value for the y axis bins.
                    Defaults to the minimum data value, shifted
                    down if necessary to make nice round values and
                    to remove ambiguous bin edges. For example, if
                    most of the data is integers we shift the bin
                    edges 0.5 down, so a `size` of 5 would have a
                    default `start` of -0.5, so it is clear that
                    0-4 are in the first bin, 5-9 in the second,
                    but continuous data gets a start of 0 and bins
                    [0,5), [5,10) etc. Dates behave similarly, and
                    `start` should be a date string. For category
                    data, `start` is based on the category serial
                    numbers, and defaults to -0.5. If multiple non-
                    overlaying histograms share a subplot, the
                    first explicit `start` is used exactly and all
                    others are shifted down (if necessary) to
                    differ from that one by an integer number of
                    bins.

        Returns
        -------
        plotly.graph_objs.histogram.YBins
        """
        return self["ybins"]

    @ybins.setter
    def ybins(self, val):
        self["ybins"] = val

    # ycalendar
    # ---------
    @property
    def ycalendar(self):
        """
        Sets the calendar system to use with `y` date data.
    
        The 'ycalendar' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['gregorian', 'chinese', 'coptic', 'discworld',
                'ethiopian', 'hebrew', 'islamic', 'julian', 'mayan',
                'nanakshahi', 'nepali', 'persian', 'jalali', 'taiwan',
                'thai', 'ummalqura']

        Returns
        -------
        Any
        """
        return self["ycalendar"]

    @ycalendar.setter
    def ycalendar(self, val):
        self["ycalendar"] = val

    # ysrc
    # ----
    @property
    def ysrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  y .
    
        The 'ysrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["ysrc"]

    @ysrc.setter
    def ysrc(self, val):
        self["ysrc"] = val

    # type
    # ----
    @property
    def type(self):
        return self._props["type"]

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        alignmentgroup
            Set several traces linked to the same position axis or
            matching axes to the same alignmentgroup. This controls
            whether bars compute their positional range dependently
            or independently.
        autobinx
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobinx` is not needed.
            However, we accept `autobinx: true` or `false` and will
            update `xbins` accordingly before deleting `autobinx`
            from the trace.
        autobiny
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobiny` is not needed.
            However, we accept `autobiny: true` or `false` and will
            update `ybins` accordingly before deleting `autobiny`
            from the trace.
        bingroup
            Set a group of histogram traces which will have
            compatible bin settings. Note that traces on the same
            subplot and with the same "orientation" under `barmode`
            "stack", "relative" and "group" are forced into the
            same bingroup, Using `bingroup`, traces under `barmode`
            "overlay" and on different axes (of the same axis type)
            can have compatible bin settings. Note that histogram
            and histogram2d* trace can share the same `bingroup`
        cumulative
            :class:`plotly.graph_objects.histogram.Cumulative`
            instance or dict with compatible properties
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on Chart Studio Cloud for
            customdata .
        error_x
            :class:`plotly.graph_objects.histogram.ErrorX` instance
            or dict with compatible properties
        error_y
            :class:`plotly.graph_objects.histogram.ErrorY` instance
            or dict with compatible properties
        histfunc
            Specifies the binning function used for this histogram
            trace. If "count", the histogram values are computed by
            counting the number of values lying inside each bin. If
            "sum", "avg", "min", "max", the histogram values are
            computed using the sum, the average, the minimum or the
            maximum of the values lying inside each bin
            respectively.
        histnorm
            Specifies the type of normalization used for this
            histogram trace. If "", the span of each bar
            corresponds to the number of occurrences (i.e. the
            number of data points lying inside the bins). If
            "percent" / "probability", the span of each bar
            corresponds to the percentage / fraction of occurrences
            with respect to the total number of sample points
            (here, the sum of all bin HEIGHTS equals 100% / 1). If
            "density", the span of each bar corresponds to the
            number of occurrences in a bin divided by the size of
            the bin interval (here, the sum of all bin AREAS equals
            the total number of sample points). If *probability
            density*, the area of each bar corresponds to the
            probability that an event will fall into the
            corresponding bin (here, the sum of all bin AREAS
            equals 1).
        hoverinfo
            Determines which trace information appear on hover. If
            `none` or `skip` are set, no information is displayed
            upon hovering. But, if `none` is set, click and hover
            events are still fired.
        hoverinfosrc
            Sets the source reference on Chart Studio Cloud for
            hoverinfo .
        hoverlabel
            :class:`plotly.graph_objects.histogram.Hoverlabel`
            instance or dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
            reference/blob/master/Formatting.md#d3_format for
            details on the formatting syntax. Dates are formatted
            using d3-time-format's syntax %{variable|d3-time-
            format}, for example "Day: %{2019-01-01|%A}".
            https://github.com/d3/d3-time-format#locale_format for
            details on the date formatting syntax. The variables
            available in `hovertemplate` are the ones emitted as
            event data described at this link
            https://plotly.com/javascript/plotlyjs-events/#event-
            data. Additionally, every attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available. variable `binNumber` Anything contained
            in tag `<extra>` is displayed in the secondary box, for
            example "<extra>{fullData.name}</extra>". To hide the
            secondary box completely, use an empty tag
            `<extra></extra>`.
        hovertemplatesrc
            Sets the source reference on Chart Studio Cloud for
            hovertemplate .
        hovertext
            Same as `text`.
        hovertextsrc
            Sets the source reference on Chart Studio Cloud for
            hovertext .
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on Chart Studio Cloud for
            ids .
        legendgroup
            Sets the legend group for this trace. Traces part of
            the same legend group hide/show at the same time when
            toggling legend items.
        marker
            :class:`plotly.graph_objects.histogram.Marker` instance
            or dict with compatible properties
        meta
            Assigns extra meta information associated with this
            trace that can be used in various text attributes.
            Attributes such as trace `name`, graph, axis and
            colorbar `title.text`, annotation `text`
            `rangeselector`, `updatemenues` and `sliders` `label`
            text all support `meta`. To access the trace `meta`
            values in an attribute in the same trace, simply use
            `%{meta[i]}` where `i` is the index or key of the
            `meta` item in question. To access trace `meta` in
            layout attributes, use `%{data[n[.meta[i]}` where `i`
            is the index or key of the `meta` and `n` is the trace
            index.
        metasrc
            Sets the source reference on Chart Studio Cloud for
            meta .
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        nbinsx
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `xbins.size` is provided.
        nbinsy
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `ybins.size` is provided.
        offsetgroup
            Set several traces linked to the same position axis or
            matching axes to the same offsetgroup where bars of the
            same position coordinate will line up.
        opacity
            Sets the opacity of the trace.
        orientation
            Sets the orientation of the bars. With "v" ("h"), the
            value of the each bar spans along the vertical
            (horizontal).
        selected
            :class:`plotly.graph_objects.histogram.Selected`
            instance or dict with compatible properties
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        stream
            :class:`plotly.graph_objects.histogram.Stream` instance
            or dict with compatible properties
        text
            Sets hover text elements associated with each bar. If a
            single string, the same string appears over all bars.
            If an array of string, the items are mapped in order to
            the this trace's coordinates.
        textsrc
            Sets the source reference on Chart Studio Cloud for
            text .
        uid
            Assign an id to this trace, Use this to provide object
            constancy between traces during animations and
            transitions.
        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        unselected
            :class:`plotly.graph_objects.histogram.Unselected`
            instance or dict with compatible properties
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        x
            Sets the sample data to be binned on the x axis.
        xaxis
            Sets a reference between this trace's x coordinates and
            a 2D cartesian x axis. If "x" (the default value), the
            x coordinates refer to `layout.xaxis`. If "x2", the x
            coordinates refer to `layout.xaxis2`, and so on.
        xbins
            :class:`plotly.graph_objects.histogram.XBins` instance
            or dict with compatible properties
        xcalendar
            Sets the calendar system to use with `x` date data.
        xsrc
            Sets the source reference on Chart Studio Cloud for  x
            .
        y
            Sets the sample data to be binned on the y axis.
        yaxis
            Sets a reference between this trace's y coordinates and
            a 2D cartesian y axis. If "y" (the default value), the
            y coordinates refer to `layout.yaxis`. If "y2", the y
            coordinates refer to `layout.yaxis2`, and so on.
        ybins
            :class:`plotly.graph_objects.histogram.YBins` instance
            or dict with compatible properties
        ycalendar
            Sets the calendar system to use with `y` date data.
        ysrc
            Sets the source reference on Chart Studio Cloud for  y
            .
        """

    def __init__(
        self,
        arg=None,
        alignmentgroup=None,
        autobinx=None,
        autobiny=None,
        bingroup=None,
        cumulative=None,
        customdata=None,
        customdatasrc=None,
        error_x=None,
        error_y=None,
        histfunc=None,
        histnorm=None,
        hoverinfo=None,
        hoverinfosrc=None,
        hoverlabel=None,
        hovertemplate=None,
        hovertemplatesrc=None,
        hovertext=None,
        hovertextsrc=None,
        ids=None,
        idssrc=None,
        legendgroup=None,
        marker=None,
        meta=None,
        metasrc=None,
        name=None,
        nbinsx=None,
        nbinsy=None,
        offsetgroup=None,
        opacity=None,
        orientation=None,
        selected=None,
        selectedpoints=None,
        showlegend=None,
        stream=None,
        text=None,
        textsrc=None,
        uid=None,
        uirevision=None,
        unselected=None,
        visible=None,
        x=None,
        xaxis=None,
        xbins=None,
        xcalendar=None,
        xsrc=None,
        y=None,
        yaxis=None,
        ybins=None,
        ycalendar=None,
        ysrc=None,
        **kwargs
    ):
        """
        Construct a new Histogram object
        
        The sample data from which statistics are computed is set in
        `x` for vertically spanning histograms and in `y` for
        horizontally spanning histograms. Binning options are set
        `xbins` and `ybins` respectively if no aggregation data is
        provided.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of :class:`plotly.graph_objs.Histogram`
        alignmentgroup
            Set several traces linked to the same position axis or
            matching axes to the same alignmentgroup. This controls
            whether bars compute their positional range dependently
            or independently.
        autobinx
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobinx` is not needed.
            However, we accept `autobinx: true` or `false` and will
            update `xbins` accordingly before deleting `autobinx`
            from the trace.
        autobiny
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobiny` is not needed.
            However, we accept `autobiny: true` or `false` and will
            update `ybins` accordingly before deleting `autobiny`
            from the trace.
        bingroup
            Set a group of histogram traces which will have
            compatible bin settings. Note that traces on the same
            subplot and with the same "orientation" under `barmode`
            "stack", "relative" and "group" are forced into the
            same bingroup, Using `bingroup`, traces under `barmode`
            "overlay" and on different axes (of the same axis type)
            can have compatible bin settings. Note that histogram
            and histogram2d* trace can share the same `bingroup`
        cumulative
            :class:`plotly.graph_objects.histogram.Cumulative`
            instance or dict with compatible properties
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on Chart Studio Cloud for
            customdata .
        error_x
            :class:`plotly.graph_objects.histogram.ErrorX` instance
            or dict with compatible properties
        error_y
            :class:`plotly.graph_objects.histogram.ErrorY` instance
            or dict with compatible properties
        histfunc
            Specifies the binning function used for this histogram
            trace. If "count", the histogram values are computed by
            counting the number of values lying inside each bin. If
            "sum", "avg", "min", "max", the histogram values are
            computed using the sum, the average, the minimum or the
            maximum of the values lying inside each bin
            respectively.
        histnorm
            Specifies the type of normalization used for this
            histogram trace. If "", the span of each bar
            corresponds to the number of occurrences (i.e. the
            number of data points lying inside the bins). If
            "percent" / "probability", the span of each bar
            corresponds to the percentage / fraction of occurrences
            with respect to the total number of sample points
            (here, the sum of all bin HEIGHTS equals 100% / 1). If
            "density", the span of each bar corresponds to the
            number of occurrences in a bin divided by the size of
            the bin interval (here, the sum of all bin AREAS equals
            the total number of sample points). If *probability
            density*, the area of each bar corresponds to the
            probability that an event will fall into the
            corresponding bin (here, the sum of all bin AREAS
            equals 1).
        hoverinfo
            Determines which trace information appear on hover. If
            `none` or `skip` are set, no information is displayed
            upon hovering. But, if `none` is set, click and hover
            events are still fired.
        hoverinfosrc
            Sets the source reference on Chart Studio Cloud for
            hoverinfo .
        hoverlabel
            :class:`plotly.graph_objects.histogram.Hoverlabel`
            instance or dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
            reference/blob/master/Formatting.md#d3_format for
            details on the formatting syntax. Dates are formatted
            using d3-time-format's syntax %{variable|d3-time-
            format}, for example "Day: %{2019-01-01|%A}".
            https://github.com/d3/d3-time-format#locale_format for
            details on the date formatting syntax. The variables
            available in `hovertemplate` are the ones emitted as
            event data described at this link
            https://plotly.com/javascript/plotlyjs-events/#event-
            data. Additionally, every attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available. variable `binNumber` Anything contained
            in tag `<extra>` is displayed in the secondary box, for
            example "<extra>{fullData.name}</extra>". To hide the
            secondary box completely, use an empty tag
            `<extra></extra>`.
        hovertemplatesrc
            Sets the source reference on Chart Studio Cloud for
            hovertemplate .
        hovertext
            Same as `text`.
        hovertextsrc
            Sets the source reference on Chart Studio Cloud for
            hovertext .
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on Chart Studio Cloud for
            ids .
        legendgroup
            Sets the legend group for this trace. Traces part of
            the same legend group hide/show at the same time when
            toggling legend items.
        marker
            :class:`plotly.graph_objects.histogram.Marker` instance
            or dict with compatible properties
        meta
            Assigns extra meta information associated with this
            trace that can be used in various text attributes.
            Attributes such as trace `name`, graph, axis and
            colorbar `title.text`, annotation `text`
            `rangeselector`, `updatemenues` and `sliders` `label`
            text all support `meta`. To access the trace `meta`
            values in an attribute in the same trace, simply use
            `%{meta[i]}` where `i` is the index or key of the
            `meta` item in question. To access trace `meta` in
            layout attributes, use `%{data[n[.meta[i]}` where `i`
            is the index or key of the `meta` and `n` is the trace
            index.
        metasrc
            Sets the source reference on Chart Studio Cloud for
            meta .
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        nbinsx
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `xbins.size` is provided.
        nbinsy
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `ybins.size` is provided.
        offsetgroup
            Set several traces linked to the same position axis or
            matching axes to the same offsetgroup where bars of the
            same position coordinate will line up.
        opacity
            Sets the opacity of the trace.
        orientation
            Sets the orientation of the bars. With "v" ("h"), the
            value of the each bar spans along the vertical
            (horizontal).
        selected
            :class:`plotly.graph_objects.histogram.Selected`
            instance or dict with compatible properties
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        stream
            :class:`plotly.graph_objects.histogram.Stream` instance
            or dict with compatible properties
        text
            Sets hover text elements associated with each bar. If a
            single string, the same string appears over all bars.
            If an array of string, the items are mapped in order to
            the this trace's coordinates.
        textsrc
            Sets the source reference on Chart Studio Cloud for
            text .
        uid
            Assign an id to this trace, Use this to provide object
            constancy between traces during animations and
            transitions.
        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        unselected
            :class:`plotly.graph_objects.histogram.Unselected`
            instance or dict with compatible properties
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        x
            Sets the sample data to be binned on the x axis.
        xaxis
            Sets a reference between this trace's x coordinates and
            a 2D cartesian x axis. If "x" (the default value), the
            x coordinates refer to `layout.xaxis`. If "x2", the x
            coordinates refer to `layout.xaxis2`, and so on.
        xbins
            :class:`plotly.graph_objects.histogram.XBins` instance
            or dict with compatible properties
        xcalendar
            Sets the calendar system to use with `x` date data.
        xsrc
            Sets the source reference on Chart Studio Cloud for  x
            .
        y
            Sets the sample data to be binned on the y axis.
        yaxis
            Sets a reference between this trace's y coordinates and
            a 2D cartesian y axis. If "y" (the default value), the
            y coordinates refer to `layout.yaxis`. If "y2", the y
            coordinates refer to `layout.yaxis2`, and so on.
        ybins
            :class:`plotly.graph_objects.histogram.YBins` instance
            or dict with compatible properties
        ycalendar
            Sets the calendar system to use with `y` date data.
        ysrc
            Sets the source reference on Chart Studio Cloud for  y
            .

        Returns
        -------
        Histogram
        """
        super(Histogram, self).__init__("histogram")

        if "_parent" in kwargs:
            self._parent = kwargs["_parent"]
            return

        # Validate arg
        # ------------
        if arg is None:
            arg = {}
        elif isinstance(arg, self.__class__):
            arg = arg.to_plotly_json()
        elif isinstance(arg, dict):
            arg = _copy.copy(arg)
        else:
            raise ValueError(
                """\
The first argument to the plotly.graph_objs.Histogram 
constructor must be a dict or 
an instance of :class:`plotly.graph_objs.Histogram`"""
            )

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)
        self._validate = kwargs.pop("_validate", True)

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("alignmentgroup", None)
        _v = alignmentgroup if alignmentgroup is not None else _v
        if _v is not None:
            self["alignmentgroup"] = _v
        _v = arg.pop("autobinx", None)
        _v = autobinx if autobinx is not None else _v
        if _v is not None:
            self["autobinx"] = _v
        _v = arg.pop("autobiny", None)
        _v = autobiny if autobiny is not None else _v
        if _v is not None:
            self["autobiny"] = _v
        _v = arg.pop("bingroup", None)
        _v = bingroup if bingroup is not None else _v
        if _v is not None:
            self["bingroup"] = _v
        _v = arg.pop("cumulative", None)
        _v = cumulative if cumulative is not None else _v
        if _v is not None:
            self["cumulative"] = _v
        _v = arg.pop("customdata", None)
        _v = customdata if customdata is not None else _v
        if _v is not None:
            self["customdata"] = _v
        _v = arg.pop("customdatasrc", None)
        _v = customdatasrc if customdatasrc is not None else _v
        if _v is not None:
            self["customdatasrc"] = _v
        _v = arg.pop("error_x", None)
        _v = error_x if error_x is not None else _v
        if _v is not None:
            self["error_x"] = _v
        _v = arg.pop("error_y", None)
        _v = error_y if error_y is not None else _v
        if _v is not None:
            self["error_y"] = _v
        _v = arg.pop("histfunc", None)
        _v = histfunc if histfunc is not None else _v
        if _v is not None:
            self["histfunc"] = _v
        _v = arg.pop("histnorm", None)
        _v = histnorm if histnorm is not None else _v
        if _v is not None:
            self["histnorm"] = _v
        _v = arg.pop("hoverinfo", None)
        _v = hoverinfo if hoverinfo is not None else _v
        if _v is not None:
            self["hoverinfo"] = _v
        _v = arg.pop("hoverinfosrc", None)
        _v = hoverinfosrc if hoverinfosrc is not None else _v
        if _v is not None:
            self["hoverinfosrc"] = _v
        _v = arg.pop("hoverlabel", None)
        _v = hoverlabel if hoverlabel is not None else _v
        if _v is not None:
            self["hoverlabel"] = _v
        _v = arg.pop("hovertemplate", None)
        _v = hovertemplate if hovertemplate is not None else _v
        if _v is not None:
            self["hovertemplate"] = _v
        _v = arg.pop("hovertemplatesrc", None)
        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
        if _v is not None:
            self["hovertemplatesrc"] = _v
        _v = arg.pop("hovertext", None)
        _v = hovertext if hovertext is not None else _v
        if _v is not None:
            self["hovertext"] = _v
        _v = arg.pop("hovertextsrc", None)
        _v = hovertextsrc if hovertextsrc is not None else _v
        if _v is not None:
            self["hovertextsrc"] = _v
        _v = arg.pop("ids", None)
        _v = ids if ids is not None else _v
        if _v is not None:
            self["ids"] = _v
        _v = arg.pop("idssrc", None)
        _v = idssrc if idssrc is not None else _v
        if _v is not None:
            self["idssrc"] = _v
        _v = arg.pop("legendgroup", None)
        _v = legendgroup if legendgroup is not None else _v
        if _v is not None:
            self["legendgroup"] = _v
        _v = arg.pop("marker", None)
        _v = marker if marker is not None else _v
        if _v is not None:
            self["marker"] = _v
        _v = arg.pop("meta", None)
        _v = meta if meta is not None else _v
        if _v is not None:
            self["meta"] = _v
        _v = arg.pop("metasrc", None)
        _v = metasrc if metasrc is not None else _v
        if _v is not None:
            self["metasrc"] = _v
        _v = arg.pop("name", None)
        _v = name if name is not None else _v
        if _v is not None:
            self["name"] = _v
        _v = arg.pop("nbinsx", None)
        _v = nbinsx if nbinsx is not None else _v
        if _v is not None:
            self["nbinsx"] = _v
        _v = arg.pop("nbinsy", None)
        _v = nbinsy if nbinsy is not None else _v
        if _v is not None:
            self["nbinsy"] = _v
        _v = arg.pop("offsetgroup", None)
        _v = offsetgroup if offsetgroup is not None else _v
        if _v is not None:
            self["offsetgroup"] = _v
        _v = arg.pop("opacity", None)
        _v = opacity if opacity is not None else _v
        if _v is not None:
            self["opacity"] = _v
        _v = arg.pop("orientation", None)
        _v = orientation if orientation is not None else _v
        if _v is not None:
            self["orientation"] = _v
        _v = arg.pop("selected", None)
        _v = selected if selected is not None else _v
        if _v is not None:
            self["selected"] = _v
        _v = arg.pop("selectedpoints", None)
        _v = selectedpoints if selectedpoints is not None else _v
        if _v is not None:
            self["selectedpoints"] = _v
        _v = arg.pop("showlegend", None)
        _v = showlegend if showlegend is not None else _v
        if _v is not None:
            self["showlegend"] = _v
        _v = arg.pop("stream", None)
        _v = stream if stream is not None else _v
        if _v is not None:
            self["stream"] = _v
        _v = arg.pop("text", None)
        _v = text if text is not None else _v
        if _v is not None:
            self["text"] = _v
        _v = arg.pop("textsrc", None)
        _v = textsrc if textsrc is not None else _v
        if _v is not None:
            self["textsrc"] = _v
        _v = arg.pop("uid", None)
        _v = uid if uid is not None else _v
        if _v is not None:
            self["uid"] = _v
        _v = arg.pop("uirevision", None)
        _v = uirevision if uirevision is not None else _v
        if _v is not None:
            self["uirevision"] = _v
        _v = arg.pop("unselected", None)
        _v = unselected if unselected is not None else _v
        if _v is not None:
            self["unselected"] = _v
        _v = arg.pop("visible", None)
        _v = visible if visible is not None else _v
        if _v is not None:
            self["visible"] = _v
        _v = arg.pop("x", None)
        _v = x if x is not None else _v
        if _v is not None:
            self["x"] = _v
        _v = arg.pop("xaxis", None)
        _v = xaxis if xaxis is not None else _v
        if _v is not None:
            self["xaxis"] = _v
        _v = arg.pop("xbins", None)
        _v = xbins if xbins is not None else _v
        if _v is not None:
            self["xbins"] = _v
        _v = arg.pop("xcalendar", None)
        _v = xcalendar if xcalendar is not None else _v
        if _v is not None:
            self["xcalendar"] = _v
        _v = arg.pop("xsrc", None)
        _v = xsrc if xsrc is not None else _v
        if _v is not None:
            self["xsrc"] = _v
        _v = arg.pop("y", None)
        _v = y if y is not None else _v
        if _v is not None:
            self["y"] = _v
        _v = arg.pop("yaxis", None)
        _v = yaxis if yaxis is not None else _v
        if _v is not None:
            self["yaxis"] = _v
        _v = arg.pop("ybins", None)
        _v = ybins if ybins is not None else _v
        if _v is not None:
            self["ybins"] = _v
        _v = arg.pop("ycalendar", None)
        _v = ycalendar if ycalendar is not None else _v
        if _v is not None:
            self["ycalendar"] = _v
        _v = arg.pop("ysrc", None)
        _v = ysrc if ysrc is not None else _v
        if _v is not None:
            self["ysrc"] = _v

        # Read-only literals
        # ------------------

        self._props["type"] = "histogram"
        arg.pop("type", None)

        # Process unknown kwargs
        # ----------------------
        self._process_kwargs(**dict(arg, **kwargs))

        # Reset skip_invalid
        # ------------------
        self._skip_invalid = False
