doeasyeda.doeasyeda

Module Contents

Functions

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

Creates an area plot using Altair with customizable options.

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

Creates a histogram using Altair with customizable options.

create_line_plot(df, x_col, y_col[, size, color, ...])

Creates a scatter plot using Altair with customizable options.

create_scatter_plot(df, x_col, y_col[, size, color, ...])

Creates a scatter plot using Altair with customizable options.
doeasyeda.doeasyeda.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')
doeasyeda.doeasyeda.create_hist_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 a histogram using Altair with customizable options.

Parameters:

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

  • 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.

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

  • title (str, optional) – The title of the scatter 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 scatter plot.

Return type:

alt.Chart

Example

>>> data = pd.DataFrame({'category': ['A', 'A', 'B', 'B', 'C', 'C'],
...                      'value': [10, 15, 10, 20, 5, 25]})
>>> create_hist_plot(data, x_col='category', y_col='value', color='category',
...                  title='Histogram of Values by Category',
...                  x_title='Category', y_title='Value', interactive=True)
doeasyeda.doeasyeda.create_line_plot(df, x_col, y_col, size=1, color=None, title=None, x_title=None, y_title=None, tooltip=None, interactive=False, width=None, height=None)[source]

Creates a scatter plot using Altair with customizable options.

Parameters:

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

  • size (int, optional) – The size of the line plot markers (default is 60).

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

  • title (str, optional) – The title of the line 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 scatter plot.

Return type:

alt.Chart

Example

>>> data = pd.DataFrame({
...     'year': [2000, 2001, 2002, 2003],
...     'population': [100, 120, 90, 80],
...     'continent': ['Asia', 'Europe', 'Africa', 'Americas']
... })
>>> create_line_plot(data, 'year', 'population', size=1, color='continent',
...                  title='Population Over Time by Continent',
...                  x_title='Year', y_title='Population', interactive=True)
doeasyeda.doeasyeda.create_scatter_plot(df, x_col, y_col, size=60, color=None, title=None, x_title=None, y_title=None, tooltip=None, interactive=False, width=None, height=None)[source]

Creates a scatter plot using Altair with customizable options.

Parameters:

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

  • size (int, optional) – The size of the scatter plot markers (default is 60).

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

  • title (str, optional) – The title of the scatter 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 scatter plot.

Return type:

alt.Chart

Example

>>> data = pd.DataFrame({'gdpPercap': [1000, 2000, 3000, 4000],
...                      'lifeExp': [70, 80, 60, 65],
...                      'continent': ['Asia', 'Europe', 'Africa', 'Americas']})
>>> create_scatter_plot(data, 'gdpPercap', 'lifeExp', size=60, color='continent',
...                     title='Life Expectancy vs GDP Per Capita by Continent',
...                     x_title='GDP Per Capita', y_title='Life Expectancy', interactive=True)