code: def stat_ecdf(
      mapping=None,
      *,
      data=None,
      geom=None,
      position=None,
      show_legend=None,
      sampling=None,
      tooltips=None,
      orientation=None,
      n=None,
      pad=None,
      color_by=None,
      **other_args,
  ):
      """
      Display the empirical cumulative distribution function.
  
      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.
      geom : str, default='step'
          The geometry to display the ecdf stat for this layer, as a string.
      position : str or `FeatureSpec`, default='identity'
          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.
      orientation : str, default='x'
          Specify the axis that the layer's stat and geom should run along.
          Possible values: 'x', 'y'.
      n : int
          If None, do not interpolate.
          If not None, this is the number of points to interpolate with.
      pad : bool, default=True
          If geometry is `'step'` and `pad=True`, then the points at the ends:
          (-inf, 0) and (inf, 1) are added to the ecdf.
      color_by : {'fill', 'color', 'paint_a', 'paint_b', 'paint_c'}, default='color'
          Define the color 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
      -----
      `stat_ecdf()` understands the following aesthetics mappings:
  
      - x : x-axis coordinates.
      - y : y-axis coordinates.
  
      In addition, you can use any aesthetics, available for the geometry defined by the `geom` parameter.
  
      Examples
      --------
      .. jupyter-execute::
          :linenos:
          :emphasize-lines: 7
  
          import numpy as np
          from lets_plot import *
          LetsPlot.setup_html()
          n = 100
          np.random.seed(42)
          x = np.random.normal(size=n)
          ggplot({'x': x}, aes(x='x')) + stat_ecdf()
  
      |
  
      .. jupyter-execute::
          :linenos:
          :emphasize-lines: 14-15
  
          import numpy as np
          from lets_plot import *
          LetsPlot.setup_html()
          n = 100
          np.random.seed(42)
          x = np.concatenate([
              np.random.normal(size=n),
              np.random.uniform(size=n),
              np.random.poisson(size=n),
          ])
          g = ["A"] * n + ["B"] * n + ["C"] * n
          p = ggplot({'x': x, 'g': g}, aes(x='x', color='g'))
          gggrid([
              p + stat_ecdf() + ggtitle("pad=True (default)"),
              p + stat_ecdf(pad=False) + ggtitle("pad=False")
          ])
  
      |
  
      .. jupyter-execute::
          :linenos:
          :emphasize-lines: 8-9
  
          import numpy as np
          from lets_plot import *
          LetsPlot.setup_html()
          n = 500
          np.random.seed(42)
          x = np.random.normal(size=n)
          ggplot() + \\
              stat_ecdf(aes(x=x), geom='point', n=20, \\
                        shape=21, color="#f03b20", fill="#ffeda0")
  
      """
      ecdf_geom = geom if geom is not None else "step"
      ecdf_pad = pad if pad is not None else True
      return _geom(
          ecdf_geom,
          mapping=mapping,
          data=data,
          stat="ecdf",
          position=position,
          show_legend=show_legend,
          sampling=sampling,
          tooltips=tooltips,
          orientation=orientation,
          n=n,
          pad=ecdf_pad,
          color_by=color_by,
          **other_args,
      )
  
imports: from .geom import _geom
label_desc: Use image node_id 3 for calling a global function with example usage: stat_ecdf(mapping) and returns: _geom