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This article mainly introduces how to use Insert in pandas. It is very detailed and has a certain reference value. Friends who are interested must finish it!

Insert

Insert is used to insert a new data column at a specified location in DataFrame. By default, new columns are added to the end, but you can change the location parameter to add the new column to any location.

Usage:

Dataframe.insert (loc, column, value, allow_duplicates=False)

Parameter function:

Loc: int type, indicating the column in which the insertion position is; if the data is inserted in the first column, then loc=0

Column: give the inserted column a name, such as column=' 's new column'

Value: the value of the new column, such as number, array, series, etc.

Allow_duplicates: whether to allow duplicate column names. Select Ture to allow new column names to be duplicated with existing column names

Then use the previous df:

Insert a new column in the third column:

# the value of the new column new_col = np.random.randn (10) # insert the new column in the third column and calculate the df.insert (2, 'new_col', new_col) df from 0

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