python pandas add empty column to dataframe

title: adding an empty column to a pandas dataframe in python
introduction:
pandas is a powerful data manipulation library in python that provides easy-to-use data structures and functions for working with structured data. in this tutorial, we will explore how to add an empty column to a pandas dataframe.
step 1: import the pandas library
before we start, make sure you have pandas installed. if not, you can install it using:
now, import the pandas library in your python script or jupyter notebook:
step 2: create a dataframe
let's create a sample dataframe for demonstration purposes:
this will output:
step 3: add an empty column
the resulting dataframe will have the new empty column:
step 4: adding a column with default values
if you want to add a column with default values, you can specify the default value in the assignment:
this will yield:
conclusion:
adding an empty column to a pandas dataframe is a straightforward process. by following the steps outlined in this tutorial, you can easily enhance your dataframe with additional columns for further analysis or data manipulation.
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