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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 Prepare Resume Using Online Tool

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Here are five ideas to prepare resume using online tools. The resume surely will impress  HR and interviewer. Ideas for Online Resume Here is an open-source tool so that anyone can build a digital resume on their own domain . (It’s free.)  Don’t just showcase your relevant work experience; showcase your personality.  Set up a professional email, preferably at your own domain name.  Empower others to spread the message for you (Social media) Think outside the box to creatively get the attention of decision makers. Related 7 Tips to prepare resume Exclusive ideas to prepare resume for IT jobs