Limit this null check only to frames with smaller dimensions then specified. reset_option ( 'max_info_columns' )ĭisplay.max_info_rows: df.info() will usually show null-counts for each column.įor large frames this can be quite slow. info () RangeIndex: 10 entries, 0 to 9 Columns: 10 entries, 0 to 9 dtypes: float64(10) memory usage: 928.0 bytes In : pd. set_option ( 'max_info_columns', 5 ) In : df. info () RangeIndex: 10 entries, 0 to 9 Data columns (total 10 columns): # Column Non-Null Count Dtype - 0 0 10 non-null float64 1 1 10 non-null float64 2 2 10 non-null float64 3 3 10 non-null float64 4 4 10 non-null float64 5 5 10 non-null float64 6 6 10 non-null float64 7 7 10 non-null float64 8 8 10 non-null float64 9 9 10 non-null float64 dtypes: float64(10) memory usage: 928.0 bytes In : pd. set_option ( 'max_info_columns', 11 ) In : df. Of this length or longer will be truncated with an ellipsis. reset_option ( 'max_rows' )ĭisplay.max_colwidth sets the maximum width of columns. set_option ( 'large_repr', 'info' ) In : df Out: RangeIndex: 10 entries, 0 to 9 Data columns (total 10 columns): # Column Non-Null Count Dtype - 0 0 10 non-null float64 1 1 10 non-null float64 2 2 10 non-null float64 3 3 10 non-null float64 4 4 10 non-null float64 5 5 10 non-null float64 6 6 10 non-null float64 7 7 10 non-null float64 8 8 10 non-null float64 9 9 10 non-null float64 dtypes: float64(10) memory usage: 928.0 bytes In : pd. Max_columns or max_rows as a truncated frame, or as a summary.
reset_option ( 'expand_frame_repr' )ĭisplay.large_repr lets you select whether to display dataframes that exceed
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