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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

SAP HANA Top new Applications

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The SAP HANA analytics from German software vendor SAP AG is betting heavily on a new generation of analytic computing it calls HANA.  In this post you will know the new features that are added in HANA. To maintain its position as the world's largest business-application vendor. So, learning HANA is really good and make sure these HANA course contents you need to have in your training. SAP HANA Applications HANA, which is already installed at more than 200 customer locations, processes data in real-time by storing it in live memory rather than in a separate data warehouse, enabling customers to make business decisions faster. >> Liquor distributor Charmer Sunbelt Group finished installing a HANA system , and it says it has helped managers react to logistical problems as they occur. Getting shipments out is essential for Charmer because customers can refuse them if they are late. >> According to Chief Information Officer Paul Fipps, HANA h