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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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3 Top Books to Read for Data Analytics

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The financial domain has openings for analytics jobs. The top financial domains are Banking, Payments, and credit cards. 


The skills you need to work in data analytics are SAS, UNIX, Python, and JavaScript. I have selected three books for beginners of data analysts.

The Best Books are on:
  1. SAS
  2. UNIX
  3. Python 


3 Top Books Every Analytics Engineer to Read
3 Top Books to Read for Data Analytics

1. SAS best book 


I found one best book that is little SAS. This covers examples and complex macros you need for your job.

The best-selling Little SAS Book just got even better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming.

Now Rebecca Ottesen has teamed up with the original authors, Lora Delwiche, and Susan Slaughter, to provide a new way to challenge and improve your SAS skills through thought-provoking questions, exercises, and projects.

2. UNIX book


The basic commands you will get everywhere. The way of executing Macros or shell scripts is really what you need. This is a good book so that you can automate the tasks.

3. Python book 


Python is a popular language and highly in demand for data analysis jobs. Python Core programming skills are highly needed.


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