Drop specified labels from rows or columns.
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Remove rows or columns by specifying label names and correspondingaxis, or by specifying directly index or column names. When using amulti-index, labels on different levels can be removed by specifyingthe level.
Index or column labels to drop.
Whether to drop labels from the index (0 or ‘index') orcolumns (1 or ‘columns').
Alternative to specifying axis (labels,axis=0
is equivalent to index=labels
).
Coda 2 6 – one window web development suite. Alternative to specifying axis (labels,axis=1
is equivalent to columns=labels
).
For MultiIndex, level from which the labels will be removed.
If False, return a copy. Otherwise, do operationinplace and return None.
If ‘ignore', suppress error and only existing labels aredropped.
Alternative to specifying axis (labels,axis=0
is equivalent to index=labels
).
Coda 2 6 – one window web development suite. Alternative to specifying axis (labels,axis=1
is equivalent to columns=labels
).
For MultiIndex, level from which the labels will be removed.
If False, return a copy. Otherwise, do operationinplace and return None.
If ‘ignore', suppress error and only existing labels aredropped.
DataFrame without the removed index or column labels.
If any of the labels is not found in the selected axis.
See also Snagit 2018 2 3 – screen capture utility.
DataFrame.loc
Label-location based indexer for selection by label.
DataFrame.dropna
Return DataFrame with labels on given axis omitted where (all or any) data are missing.
DataFrame.drop_duplicates
Return DataFrame with duplicate rows removed, optionally only considering certain columns.
Series.drop
Return Series with specified index labels removed.
Examples
Drop columns
Drop a row by index
Drop 10 Wood Bat
Drop columns and/or rows of MultiIndex DataFrame