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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

2 Multiline Commenting Ideas in Python

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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