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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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7 Amazing Ideas to Make Resume for First Job

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Resume writing is a skill. Out of a thousand applications, only a few would shortlist for the next process. Here are my ideas to provide in your resume before you send it out.


7 Top Resume Ideas Worth to Read

Resume format

How to make resume format
  • Give Mobile number and E-mail on the top of your resume.
  • Use MS-word to format it.
  • Organize information using bullets wherever the need.
  • Check Spell and Grammar.
  • Two pages are ideal for any type of job.

7 Amazing ideas

Detailed resume ideas
  1. Provide genuine-experience.
  2. Transferable skills such as Public-speaking, Customer-communication - good to mention.
  3. Provide previous experience in reverse order - last-in-first.
  4. Keep educational qualification after the experience.
  5. No need to mention weaknesses.
  6. Add awards you received during your employment.
  7. Not required salary details.

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