code: def geom_bar(
      mapping=None,
      *,
      data=None,
      stat=None,
      position=None,
      show_legend=None,
      sampling=None,
      tooltips=None,
      labels=None,
      orientation=None,
      color_by=None,
      fill_by=None,
      **other_args,
  ):
      """
      Display a bar chart which makes the height of the bar proportional to the
      number of observed variable values, mapped to x axis.
  
      Parameters
      ----------
      mapping : `FeatureSpec`
          Set of aesthetic mappings created by `aes()` function.
          Aesthetic mappings describe the way that variables in the data are
          mapped to plot "aesthetics".
      data : dict or Pandas or Polars `DataFrame`
          The data to be displayed in this layer. If None, the default, the data
          is inherited from the plot data as specified in the call to ggplot.
      stat : str, default='count'
          The statistical transformation to use on the data for this layer, as a string.
          Supported transformations: 'identity' (leaves the data unchanged),
          'count' (counts number of points with same x-axis coordinate),
          'bin' (counts number of points with x-axis coordinate in the same bin),
          'smooth' (performs smoothing - linear default),
          'density' (computes and draws kernel density estimate).
      position : str or `FeatureSpec`, default='stack'
          Position adjustment, either as a string ('identity', 'stack', 'dodge', ...),
          or the result of a call to a position adjustment function.
      show_legend : bool, default=True
          False - do not show legend for this layer.
      sampling : `FeatureSpec`
          Result of the call to the `sampling_xxx()` function.
          To prevent any sampling for this layer pass value "none" (string "none").
      tooltips : `layer_tooltips`
          Result of the call to the `layer_tooltips()` function.
          Specify appearance, style and content.
      labels : `layer_labels`
          Result of the call to the `layer_labels()` function.
          Specify style and content of the annotations.
      orientation : str, default='x'
          Specify the axis that the layer's stat and geom should run along.
          Possible values: 'x', 'y'.
      color_by : {'fill', 'color', 'paint_a', 'paint_b', 'paint_c'}, default='color'
          Define the color aesthetic for the geometry.
      fill_by : {'fill', 'color', 'paint_a', 'paint_b', 'paint_c'}, default='fill'
          Define the fill aesthetic for the geometry.
      other_args
          Other arguments passed on to the layer.
          These are often aesthetics settings used to set an aesthetic to a fixed value,
          like color='red', fill='blue', size=3 or shape=21.
          They may also be parameters to the paired geom/stat.
  
      Returns
      -------
      `LayerSpec`
          Geom object specification.
  
      Notes
      -----
      `geom_bar()` makes the height of the bar proportional to the number
      of observed variable values, mapped to x axis. Is intended to use for discrete data.
      If used for continuous data with stat='bin' produces histogram for binned data.
      `geom_bar()` handles no group aesthetics.
  
      Computed variables:
  
      - ..count.. : number of points with same x-axis coordinate.
      - ..sum.. : total number of points with same x-axis coordinate.
      - ..prop.. : groupwise proportion.
      - ..proppct.. : groupwise proportion in percent.
      - ..sumprop.. : proportion of points with same x-axis coordinate among all points in the dataset.
      - ..sumpct.. : proportion of points with same x-axis coordinate among all points in the dataset in percent.
  
      `geom_bar()` understands the following aesthetics mappings:
  
      - x : x-axis value (this value will produce cases or bins for bars).
      - y : y-axis value (this value will be used to multiply the case's or bin's counts).
      - alpha : transparency level of a layer. Accept values between 0 and 1.
      - color (colour) : color of the geometry lines. String in the following formats: RGB/RGBA (e.g. "rgb(0, 0, 255)"); HEX (e.g. "#0000FF"); color name (e.g. "red"); role name ("pen", "paper" or "brush").
      - fill : fill color. String in the following formats: RGB/RGBA (e.g. "rgb(0, 0, 255)"); HEX (e.g. "#0000FF"); color name (e.g. "red"); role name ("pen", "paper" or "brush").
      - size : line width. Define bar line width.
      - weight : used by 'count' stat to compute weighted sum instead of simple count.
  
      Examples
      --------
      .. jupyter-execute::
          :linenos:
          :emphasize-lines: 6
  
          import numpy as np
          from lets_plot import *
          LetsPlot.setup_html()
          np.random.seed(42)
          data = {'x': np.random.randint(10, size=100)}
          ggplot(data, aes(x='x')) + geom_bar()
  
      |
  
      .. jupyter-execute::
          :linenos:
          :emphasize-lines: 9-10
  
          import numpy as np
          from lets_plot import *
          LetsPlot.setup_html()
          np.random.seed(42)
          n = 10
          x = np.arange(n)
          y = 1 + np.random.randint(5, size=n)
          ggplot() + \\
              geom_bar(aes(x='x', y='y', fill='x'), data={'x': x, 'y': y}, \\
                       stat='identity', show_legend=False) + \\
              scale_fill_discrete()
  
      |
  
      .. jupyter-execute::
          :linenos:
          :emphasize-lines: 9-12
  
          import numpy as np
          from lets_plot import *
          LetsPlot.setup_html()
          np.random.seed(42)
          n = 5000
          x = np.random.normal(size=n)
          c = np.random.choice(list('abcde'), size=n)
          ggplot({'x': x, 'class': c}, aes(x='x')) + \\
              geom_bar(aes(group='class', fill='class', color='class'), \\
                       stat='bin', sampling=sampling_pick(n=500), alpha=.3, \\
                       tooltips=layer_tooltips().line('@|@class')
                                                .line('count|@..count..'))
  
      """
      return _geom(
          "bar",
          mapping=mapping,
          data=data,
          stat=stat,
          position=position,
          show_legend=show_legend,
          sampling=sampling,
          tooltips=tooltips,
          labels=labels,
          orientation=orientation,
          color_by=color_by,
          fill_by=fill_by,
          **other_args,
      )
  
imports: from lets_plot.geo_data_internals.utils import is_geocoder
  from .core import FeatureSpec, LayerSpec
  from .util import as_annotated_data, is_geo_data_frame, geo_data_frame_to_crs, get_geo_data_frame_meta
label_desc: Use image node_id 5 for calling a global function with example usage: geom_bar(mapping) and returns: _geom