superleaf.dataframe.display#

Functions

set_max_columns([max_columns])

Set pandas’ display.max_columns option.

set_max_rows([max_rows])

Set pandas’ display.max_rows option.

show_all(df[, mode, columns, rows])

Display a DataFrame with all rows and/or columns visible.
superleaf.dataframe.display.set_max_columns(max_columns=None)[source]#

Set pandas’ display.max_columns option.

Temporarily controls how many columns pandas will print when formatting DataFrames.

Parameters:

max_columns (int or None) – Maximum number of columns to show. If None, pandas will use its own default (usually 20).

superleaf.dataframe.display.set_max_rows(max_rows=None)[source]#

Set pandas’ display.max_rows option.

Temporarily controls how many rows pandas will print when formatting DataFrames.

Parameters:

max_rows (int or None) – Maximum number of rows to show. If None, pandas will use its own default (usually 60).

superleaf.dataframe.display.show_all(df, mode=None, columns=True, rows=True)[source]#

Display a DataFrame with all rows and/or columns visible.

Uses a context manager to temporarily override pandas’ display.max_columns and display.max_rows options, then calls IPython.display.display.

Parameters:

  • df (pd.DataFrame) – The DataFrame to render in the notebook.

  • mode (str, optional) – One of: - ‘columns’: expand only columns - ‘rows’: expand only rows - None (default): use the columns and rows flags below

  • columns (bool, optional) – When mode is None, if True (default) all columns are shown.

  • rows (bool, optional) – When mode is None, if True (default) all rows are shown.