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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

Why You need DevOps: Quick 5 Minutes Quiz

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Here's a quiz According to EDUREKA, DevOps is a philosophy, a cultural shift that merges operations with development and demands a linked toolchain of technologies to facilitate collaborative change. Why DevOps needed? Since the DevOps philosophy is still at a very nascent stage, the application of DevOps, as well as the bandwidth required to adapt and collaborate, varies from organization to organization, yet we can talk about a winning formula of skills that can present you as a perfect candidate for any type of organization. Which Skill DevOps Engineer should have? ON TOP OF web languages such as Ruby, Python, PHP, or Java, the ideal DevOps engineer should have some experience using infrastructure automation tools like Chef, Puppet, Ansible, SaltStack or Windows PowerShell DSC. QUIZ Link