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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

How to Call SQL Query from Python

Python's top supported database is MySQL. You can run SQL queries from Python. Here're best examples of how to connect to MYSQL and access MYSQL tables from Python.

Read: How to Print String in Next Line Easily

Here are Steps

  1. Import MySQL connecter
  2. Give user id, password details
  3. Issue SQL query

Python Logic to import MySQL connector

import mysql.connector

Note: If the MySQL connecter not installed in python, you need to install it using the below command.

pip3 install mysql-connector-python --allow-external mysql-connector-python

How to Call SQL Query from Python

Supply user id and Password

conn=mysql.connector.connect(user='root', password='password', host='localhost', database='sakila')


Issue SQL Query

mycursor.execute("show tables") # you won't see any result. You need to give print.


mycursor.execute("select * from customer") # you won't see any result. You need to give print.


This way you can issue SQL queries in Python.

Read: Top 100 Hadoop Interview Questions 1 of 4


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