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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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Best Testing Practices You need for DevOps Projects

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Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus.

DevOps Testing

Requirements 

  1. Good maintainable code
  2. Exhaustive coverage of cases
  3. Training documents to Operations team
  4. Fewer bugs in the bug tracker
  5. Less complex and no redundant code

Testing Activities  

    • The team to use Tools to check the quality of code
    • Style checker helps to correct code style
    • Good design avoids bugs in production
    • Code performance depends on the code-quality
    • Bugs in production say poor testing 

    Tester Roles 

    1. Good quality means zero bugs in production.
    2. Design requirements a base to validate testing results.
    3. Automated test scripts give quick feedback on the quality of code.
    4. Right test cases cover all the functional changes.

    The Bottom Line

    • The DevOps approach is seamless integration between Development and Operations without compromising the Quality.
    • Use test cases in a way to test all possible scenarios.
    • Automate the tasks wherever possible to get the quick reply on quality of source code.

    References

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