This video shows 3 ways to add new columns to Pandas Data Frames in Python. Adding new columns is a basic data manipulation task that is a common part of the data cleaning and wrangling process.

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Code used in this Python Code Clip:

import pandas as pd

import statsmodels.api as sm #(To access mtcars dataset)
mtcars = sm.datasets.get_rdataset("mtcars", "datasets", cache=True).data

mtcars.head()

# Method #1: Direct Column Assignment

mtcars["new_1"] = mtcars.mpg ＞ 20

mtcars.head()

# Method #2: Use .insert()

mtcars.insert(2, # Where to insert
"new_2", # Name of new column
mtcars.mpg ＞ 25) # What to insert

mtcars.head()

# Method #3: Use .assign()

mtcars = mtcars.assign(new_3 = mtcars.mpg ＞ 15, # New column
new_4 = mtcars.mpg ＞ 30) # Another new column

mtcars.head()


* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above will not be exactly the same as the code shown in the video! I will use Unicode large ＜ and ＞ symbols in place of the standard sized ones. .


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