Showing posts with the label python script

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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

Python Improved Logic to Calculate Factorial

I am practicing Python programming. In this post, I have explained logic to calculate the factorial using a function. This  function  you can call it a user-defined function. The name of the function is In real-time, you can write a program in a file and run it in python console . The main task of a developer is to create functions for the reusable code. They call these functions whenever they need. Factorial calculation program for supplied input value.   Factorial Logic in Python. I have completed this logic in 3 steps. Write Import Execute it Write  Here you need to define a function. Use 2 for loops, and write your logic. This is done on LInux operating system. You can also try on Linux. After, ESC command Use, :wq to come out of the module. Import Go to Python console, using 'python' command. Use import command. Execute  >>> factorial.fa