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How to Check Column Nulls and Replace: Pandas

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

Course Topics You Need to Know Before You Take Course on Excel

Hey, you want to be master in Excel. There are 4 parts in this course. These contents cover all the functionalities you need to work with Excel. Excel is one of the tools to be used in data analytics Why I have given contents means these you must ask your tutor if present in the course or not. This list useful to start a career in analytics. List of Excel Course Topics Part-1 - Importing Data from other sources Import or Export data from multiple data sources Part-2 - Converting data Excel ready Formatting the data understand by EXCEL. Part-3 - Data Mining Formulas you need for Data cleaning. Part-4- Excel Data Analysis Tools Data analysis using statistical methods, Charts and Pivot Tables