python pandas add column at the beginning

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pandas is a powerful data manipulation library for python that provides easy-to-use data structures and functions for efficiently working with structured data. one common task when working with dataframes is adding a new column. in this tutorial, we will specifically focus on adding a column at the beginning of a dataframe using python's pandas library.
make sure you have python and pandas installed. if not, you can install pandas using:
let's start by creating a sample dataframe for demonstration purposes:
this will create a dataframe with columns 'name', 'age', and 'city'.
to add a new column at the beginning, you can use the insert method. the insert method takes three arguments: the position at which to insert the column, the column name, and the values for the new column.
in this example, we are adding a new column 'gender' at position 0, shifting the existing columns to the right.
the output will look like this:
now, the 'gender' column has been successfully added at the beginning of the dataframe.
in this tutorial, we covered the process of adding a new column at the beginning of a dataframe using the insert method in pandas. this can be useful when you need to modify the structure of your dataframe by inserting a new column at a specific position.
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