doeasyeda.create_area_plot

Module Contents

Functions

create_area_plot(df, x_col, y_col[, color, title, ...])

Creates an area plot using Altair with customizable options.
exception doeasyeda.create_area_plot.DoEasyEDAException(message, original_exception)[source]

Bases: Exception

Common base class for all non-exit exceptions.

doeasyeda.create_area_plot.create_area_plot(df, x_col, y_col, color=None, title=None, x_title=None, y_title=None, tooltip=None, interactive=False, width=None, height=None)[source]

Creates an area plot using Altair with customizable options.

Parameters:

  • df (pd.DataFrame) – Dataframe containing the data for the area plot.

  • x_col (str) – The column name to be used for the x-axis.

  • y_col (str) – The column name to be used for the y-axis.

  • line (bool, optional) – A flag for overlaying line on top of area marks. Default is false, no lines would be automatically added to area marks.

  • point (bool, optional) – A flag for overlaying points on top of line or area marks. Default is false, no lines would be automatically added to area marks.

  • color (str, optional) – The column name to be used for color encoding (default is None).

  • title (str, optional) – The title of the area plot (default is None).

  • x_title (str, optional) – The title for the x-axis (default is None).

  • y_title (str, optional) – The title for the y-axis (default is None).

  • tooltip (list of str, optional) – List of column names to be used for tooltips (default is None).

  • interactive (bool, optional) – If True, enables interactive features like zooming and panning (default is False).

  • width (int, optional) – The width of the chart (default is None).

  • height (int, optional) – The height of the chart (default is None).

Returns:

An Altair Chart object representing the area plot.

Return type:

alt.Chart

Example

>>> data = pd.DataFrame({'year': [2000, 2001, 2002, 2003],
...                      'population': [100, 120, 90, 80],
...                      'continent': ['North America', 'North America', 'Europe', 'Europe']})
>>> create_area_plot(data, 'year', 'population', color='continent', title='Population Over Time by Continent',
...                  x_title='Year', y_title='Population')