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How to Check Column Nulls and Replace: Pandas

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Here is a post that shows how to count Nulls and replace them with the value you want in the Pandas Dataframe. We have explained the process in two steps - Counting and Replacing the Null values. Count null values (column-wise) in Pandas ## count null values column-wise null_counts = df.isnull(). sum() print(null_counts) ``` Output: ``` Column1    1 Column2    1 Column3    5 dtype: int64 ``` In the above code, we first create a sample Pandas DataFrame `df` with some null values. Then, we use the `isnull()` function to create a DataFrame of the same shape as `df`, where each element is a boolean value indicating whether that element is null or not. Finally, we use the `sum()` function to count the number of null values in each column of the resulting DataFrame. The output shows the count of null values column-wise. to count null values column-wise: ``` df.isnull().sum() ``` ##Code snippet to count null values row-wise: ``` df.isnull().sum(axis=1) ``` In the above code, `df` is the Panda
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2 Multiline Commenting Ideas in Python

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Here are two ways you can comment out multiple lines in python.

Python Multiline Comments

These are two popular methods Viz Backslash and Triple quote methods.

1. Backslash method

>>> s = "This is a test of the emergency broadcast system" \
… " and it will display an emergency if you put a line of
text" \
… " that is more than 80 characters on a single line"


>>> print(s)

This is a test of the emergency broadcast system and it will
display an emergency if you put a line of text that is more
than 80 characters on a single line


Split Strings

2. Triple quote method

>>> s1 = """ This is a test of the emergency broadcast
system.
… and it will display an emergency if you put a line of text
… that is more than 80 characters on a single line
… """

>>> print(s1)

This is a test of the emergency broadcast system.
and it will display an emergency if you put a line of text
that is more than 80 characters on a single line


Summary

  • You can use two methods to split the string
  • The Triple quote method is easier to use

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