simplefit.eda

Module Contents

Functions

plot_distributions(data, bins=40, dist_cols=None, class_label=None)

This function creates numerical distribution plots on either all the numeric columns or the ones provided to it

plot_corr(data, corr='spearman')

This function creates correlation plot for all the columns in the dataframe

plot_splom(data, pair_cols=None)

This function creates SPLOM plot for all the numeric columns in the dataframe or the ones passed by the user
simplefit.eda.plot_distributions(data, bins=40, dist_cols=None, class_label=None)[source]

This function creates numerical distribution plots on either all the numeric columns or the ones provided to it

Parameters:

  • data (pandas.DataFrame) – The dataframe for which distribution plot has to be created

  • bins (int) – The number of bins for histogram plot

  • dist_cols (list, optional) – The subset of numeric columns for which the histogram plots have to be generated

  • class_label (str, optional) – The name of the target column only in case of classification dataset. For regression dataset, it is not required

Returns:

The Altair object for the plot

Return type:

chart_numeric

Examples

>>> plot_distributions(data)
>>> plot_distributions(data, dist_cols=['loudness', 'acousticness'], class_label='target')
simplefit.eda.plot_corr(data, corr='spearman')[source]

This function creates correlation plot for all the columns in the dataframe

Parameters:

  • data (pandas.DataFrame) – The dataframe for which distribution plot has to be created

  • corr (str) – The correlation method, which can be among ‘spearman’, ‘kendall’ or ‘pearson’ The default value is spearman

Returns:

The Altair object for the plot

Return type:

corr_plot

Examples

>>> plot_corr(data)
>>> plot_corr(data, corr='kendall')
simplefit.eda.plot_splom(data, pair_cols=None)[source]

This function creates SPLOM plot for all the numeric columns in the dataframe or the ones passed by the user

Parameters:

  • data (pandas.DataFrame) – The dataframe for which distribution plot has to be created

  • pair_cols (list) – The list of dataframe columns, for which correlation plot is to be generated

Returns:

The Altair object for the plot

Return type:

splom_chart

Examples

>>> plot_splom(data)
>>> plot_splom(data, pair_cols=['loudness', 'acousticness', 'energy'])