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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

How to Write Python 'Hello World' Program Quickly and Run it

The first Python program looks like the below.  I have explained the steps you need to write your first program in Python.
First Python Program

My first program: odbchelper.py

You can write your program as nameccheck.py module.

if authorsFirstName == 'Irv':
      teachingPython = True
      print 'Pay attention to his wisdom'

How to Run Your Python Program

python namecheck.py

Sample python program

if authorsFirstName == 'Irv':
     teachingPython = True
   print 'Pay attention to his wisdom'

The above if condition checks for first name. 

In python '==', means equal to. It makes true to teachingPython

You can start your python program quickly. Really useful for learning and to use it in projects.

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