How to insert / delete / drop a row and column in the DataFrame ? | Pandas tutorial for Beginners
pandas.DataFrame.insert
DataFrame.insert(self, loc, column, value, allow_duplicates=False) → None[source]
Insert column into DataFrame at specified location.
Raises a ValueError if column is already contained in the DataFrame, unless allow_duplicates is set to True.
Parameters
loc int
Insertion index.
column str, number, or hashable object
Label of the inserted column.
value int, Series, or array-like
allow_duplicates bool, optional
pandas.DataFrame.drop
DataFrame.drop(self, labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')[source]
Drop specified labels from rows or columns.
Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. When using a multi-index, labels on different levels can be removed by specifying the level.
Parameters
labels single label or list-like
Index or column labels to drop.
axis{0 or ‘index’, 1 or ‘columns’}, default 0
Whether to drop labels from the index (0 or ‘index’) or columns (1 or ‘columns’).
index single label or list-like
Alternative to specifying axis (labels, axis=0 is equivalent to index=labels).
New in version 0.21.0.
columns single label or list-like
Alternative to specifying axis (labels, axis=1 is equivalent to columns=labels).
New in version 0.21.0.
level int or level name, optional
For MultiIndex, level from which the labels will be removed.
inplace bool, default False
If True, do operation inplace and return None.
errors{‘ignore’, ‘raise’}, default ‘raise’
If ‘ignore’, suppress error and only existing labels are dropped.
Returns
DataFrame
DataFrame without the removed index or column labels.
Raises
KeyError
If any of the labels is not found in the selected axis.
The github link for this notebook is below
https://github.com/RakeshKrishna143/P...
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