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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
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The Perfect Way to Swap two Strings in Python

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Here is the perfect way swap two strings in python. Without a third variable, you can swap strings in Python. With the swap function, you can achieve this. Here's the sample logic. Swap two strings Multiple arguments you can use in the same function. Here,  a  and b  are arguments for the swap function. You'll get output as swapped when you use the swap function. def swap(a, b):  return b,a  Logic to swap strings. i = "Hello world" j = "This is ApplyBigAnalytics"  (i, j) = swap(i, j)  print(i)  print(j)  Logic to Swap two numbers. i = 1  j = 2  (i, j) = swap(i,j)  print(i)   print(j) Here is output This is ApplyBigAnalytics  Hello world  2  1 Related Posts The Real Purpose of Underscore in Python 
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