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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

The Quick and Easy Way to Fix Python UnboundLocalError

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Here is the easy way to fix the issue of the Python UnboundLocalError, allowing users to resolve any problems quickly. Python UnboundLocalError While the variable in the function has already been defined, during execution, the result prints with an error of UnboundLocalError. Below, you will find an example that explains the issue and resolution. Error: file 'example.txt' not found Traceback (most recent call last): File "main.py", line 16, in <module> open_file("example.txt") File "main.py", line 11, in open_file if f: UnboundLocalError: local variable 'f' referenced before assignment ** Process exited - Return Code: 1 ** Press Enter to exit terminal Python program using try, except and finally Below program explains how to use try, except and finally blocks in python. But during the execution, it prints UnboundLocalError. Program using try, except and finally # Define a function that may raise an exception def open_file(filename):