How do I drop a column in pandas?
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Keeping this in consideration, how do I drop a specific column in pandas?
To drop a single column from pandas dataframe, we need to provide the name of the column to be dropped as a list as an argument to drop function. Here, we have a list containing just one element, 'pop' variable. Pandas drop function can drop column or row.
Likewise, how do you drop a column in Python? Rows or columns can be removed using index label or column name using this method.
- Syntax: DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')
- Return type: Dataframe with dropped values.
Beside this, how do I drop a column in a data frame?
Drop one or more columns Use drop() on DataFrame to remove it. When dropping columns from DataFrame, we need to specify the axis, which is the direction of data table in DataFrame. The axis can be: 0 : which is in row index direction.
How do I drop multiple rows in pandas?
Delete a Multiple Rows by Index Position in DataFrame As df. drop() function accepts only list of index label names only, so to delete the rows by position we need to create a list of index names from positions and then pass it to drop(). As default value of inPlace is false, so contents of dfObj will not be modified.