Append Multiple Columns to pandas DataFrame in Python (Example Code)

In this Python programming tutorial you’ll learn how to append multiple new columns to a pandas DataFrame.

Preparing the Example

import pandas as pd                                            # Load pandas library
my_df = pd.DataFrame({"A":range(101, 106),                     # Constructing pandas DataFrame
                      "B":range(201, 206)})
print(my_df)
#      A    B
# 0  101  201
# 1  102  202
# 2  103  203
# 3  104  204
# 4  105  205

Example: Concatenating Multiple Columns to pandas DataFrame

my_df["new1"], my_df["new2"], my_df["new3"] = ["x", "y", "z"]  # Adding multiple variables
print(my_df)
#      A    B new1 new2 new3
# 0  101  201    x    y    z
# 1  102  202    x    y    z
# 2  103  203    x    y    z
# 3  104  204    x    y    z
# 4  105  205    x    y    z

Related Articles

Have a look at the following list of Python tutorials. They focus on topics such as numeric values, text elements, and naming data:

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