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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

Top Paid Software Jobs

There are eight Software jobs. Those are hot in demand at the same time they pay more package for you. it’s normal for your job hunt to take a few months these days. -From What color is your parachute 1. Business Intelligence Architect The primary responsibility of the business intelligence architect is data standards and procedures; warehousing; design and development of logical and physical data models and databases; distributed data management; information management functions. The business intelligence architect designs, develops and enforces standards and architecture for installing, configuring and using business intelligence applications for the purpose of directing and managing the organization. The role usually requires a bachelor's degree and at least some experience in a BI role. Salary:$81,200 2. ASIC Design Engineer The role produces application-specific integrated circuit (ASIC) designs and modifications by identifying design objectives and issues; rese