`choropleth_map` missing the `locationmode` parameter in its signature

The docstring of choropleth_map states that locations are to be "interpreted according to locationmode" (as with other mapping functions), but this parameter seems to be missing from the signature of this function.

I'm using plotly v5.24.1

import plotly.express as px

px.choropleth_map?


Signature:
px.choropleth_map(
    data_frame=None,
    geojson=None,
    featureidkey=None,
    locations=None,
    color=None,
    hover_name=None,
    hover_data=None,
    custom_data=None,
    animation_frame=None,
    animation_group=None,
    category_orders=None,
    labels=None,
    color_discrete_sequence=None,
    color_discrete_map=None,
    color_continuous_scale=None,
    range_color=None,
    color_continuous_midpoint=None,
    opacity=None,
    zoom=8,
    center=None,
    map_style=None,
    title=None,
    template=None,
    width=None,
    height=None,
) -> plotly.graph_objs._figure.Figure
Docstring:
    In a choropleth map, each row of `data_frame` is represented by a
    colored region on the map.
    
Parameters
----------
data_frame: DataFrame or array-like or dict
    This argument needs to be passed for column names (and not keyword
    names) to be used. Array-like and dict are transformed internally to a
    pandas DataFrame. Optional: if missing, a DataFrame gets constructed
    under the hood using the other arguments.
geojson: GeoJSON-formatted dict
    Must contain a Polygon feature collection, with IDs, which are
    references from `locations`.
featureidkey: str (default: `'id'`)
    Path to field in GeoJSON feature object with which to match the values
    passed in to `locations`.The most common alternative to the default is
    of the form `'properties.<key>`.
locations: str or int or Series or array-like
    Either a name of a column in `data_frame`, or a pandas Series or
    array_like object. Values from this column or array_like are to be
    interpreted according to `locationmode` and mapped to
    longitude/latitude.
color: str or int or Series or array-like
    Either a name of a column in `data_frame`, or a pandas Series or
    array_like object. Values from this column or array_like are used to
    assign color to marks.
hover_name: str or int or Series or array-like
    Either a name of a column in `data_frame`, or a pandas Series or
    array_like object. Values from this column or array_like appear in bold
    in the hover tooltip.
hover_data: str, or list of str or int, or Series or array-like, or dict
    Either a name or list of names of columns in `data_frame`, or pandas
    Series, or array_like objects or a dict with column names as keys, with
    values True (for default formatting) False (in order to remove this
    column from hover information), or a formatting string, for example
    ':.3f' or '|%a' or list-like data to appear in the hover tooltip or
    tuples with a bool or formatting string as first element, and list-like
    data to appear in hover as second element Values from these columns
    appear as extra data in the hover tooltip.
custom_data: str, or list of str or int, or Series or array-like
    Either name or list of names of columns in `data_frame`, or pandas
    Series, or array_like objects Values from these columns are extra data,
    to be used in widgets or Dash callbacks for example. This data is not
    user-visible but is included in events emitted by the figure (lasso
    selection etc.)
animation_frame: str or int or Series or array-like
    Either a name of a column in `data_frame`, or a pandas Series or
    array_like object. Values from this column or array_like are used to
    assign marks to animation frames.
animation_group: str or int or Series or array-like
    Either a name of a column in `data_frame`, or a pandas Series or
    array_like object. Values from this column or array_like are used to
    provide object-constancy across animation frames: rows with matching
    `animation_group`s will be treated as if they describe the same object
    in each frame.
category_orders: dict with str keys and list of str values (default `{}`)
    By default, in Python 3.6+, the order of categorical values in axes,
    legends and facets depends on the order in which these values are first
    encountered in `data_frame` (and no order is guaranteed by default in
    Python below 3.6). This parameter is used to force a specific ordering
    of values per column. The keys of this dict should correspond to column
    names, and the values should be lists of strings corresponding to the
    specific display order desired.
labels: dict with str keys and str values (default `{}`)
    By default, column names are used in the figure for axis titles, legend
    entries and hovers. This parameter allows this to be overridden. The
    keys of this dict should correspond to column names, and the values
    should correspond to the desired label to be displayed.
color_discrete_sequence: list of str
    Strings should define valid CSS-colors. When `color` is set and the
    values in the corresponding column are not numeric, values in that
    column are assigned colors by cycling through `color_discrete_sequence`
    in the order described in `category_orders`, unless the value of
    `color` is a key in `color_discrete_map`. Various useful color
    sequences are available in the `plotly.express.colors` submodules,
    specifically `plotly.express.colors.qualitative`.
color_discrete_map: dict with str keys and str values (default `{}`)
    String values should define valid CSS-colors Used to override
    `color_discrete_sequence` to assign a specific colors to marks
    corresponding with specific values. Keys in `color_discrete_map` should
    be values in the column denoted by `color`. Alternatively, if the
    values of `color` are valid colors, the string `'identity'` may be
    passed to cause them to be used directly.
color_continuous_scale: list of str
    Strings should define valid CSS-colors This list is used to build a
    continuous color scale when the column denoted by `color` contains
    numeric data. Various useful color scales are available in the
    `plotly.express.colors` submodules, specifically
    `plotly.express.colors.sequential`, `plotly.express.colors.diverging`
    and `plotly.express.colors.cyclical`.
range_color: list of two numbers
    If provided, overrides auto-scaling on the continuous color scale.
color_continuous_midpoint: number (default `None`)
    If set, computes the bounds of the continuous color scale to have the
    desired midpoint. Setting this value is recommended when using
    `plotly.express.colors.diverging` color scales as the inputs to
    `color_continuous_scale`.
opacity: float
    Value between 0 and 1. Sets the opacity for markers.
zoom: int (default `8`)
    Between 0 and 20. Sets map zoom level.
center: dict
    Dict keys are `'lat'` and `'lon'` Sets the center point of the map.
map_style: str (default `'basic'`)
    Identifier of base map style. Allowed values are `'basic'`, `'carto-
    darkmatter'`, `'carto-darkmatter-nolabels'`, `'carto-positron'`,
    `'carto-positron-nolabels'`, `'carto-voyager'`, `'carto-voyager-
    nolabels'`, `'dark'`, `'light'`, `'open-street-map'`, `'outdoors'`,
    `'satellite'`, `'satellite-streets'`, `'streets'`, `'white-bg'`.
title: str
    The figure title.
template: str or dict or plotly.graph_objects.layout.Template instance
    The figure template name (must be a key in plotly.io.templates) or
    definition.
width: int (default `None`)
    The figure width in pixels.
height: int (default `None`)
    The figure height in pixels.

Returns
-------
    plotly.graph_objects.Figure
File:      ~/venv312/lib/python3.12/site-packages/plotly/express/_chart_types.py
Type:      function

Thanks!

从 plotly/express/_chart_types.py 开始，issue 在此处指出了 choropleth_map 函数及其签名。将其与位置相关的参数和文档与 issue 中提到的其他映射函数进行比较，然后确认该函数接受 locationmode，并且其签名与 docstring 保持一致。