Showing posts with the label python do while loop

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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: Do While Loop Real Examples

While it is one of the loops in Python. The specialty is it never be false. You already know that in my previous post I have shared For Loop in Python . The for loop can be false. I am giving here one best example: print("Help! My computer doesn't work!") while True: print("Does the computer make any sounds (fans, etc.)") choice = input(" or show any lights? (y/n):") In the above logic, while is always true. When in input user can give 'Y/N'. if choice == 'n': # The computer does not have power print (" Do not show lights") if choice == 'y': # It is power plugged in print ("show lights") So, while is always true. Based on input the while loop works. Python is having the below list of Keywords. Pythons Reserved Words The Python reserved words are: and, exec, not, assert, finally, or, break, for, pass, class, form, print, continue, global, raise, def, if,