pandas fillna with last value
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Title: Using Pandas fillna with Last Value: A Comprehensive Tutorial
Introduction:
Pandas is a powerful data manipulation library in Python, widely used for handling and analyzing structured data. One common task in data preprocessing is dealing with missing values. The fillna function in Pandas provides a flexible way to fill missing values in a DataFrame. In this tutorial, we will focus on using fillna to fill missing values with the last available value in a column.
Step 1: Importing Pandas
Before we start, make sure to install Pandas if you haven't already. You can install it using:
Now, let's import Pandas in your Python script or Jupyter Notebook:
Step 2: Creating a Sample DataFrame
Let's create a sample DataFrame with missing values to demonstrate the fillna method:
Output:
Step 3: Using fillna with Last Value
Now, let's use the fillna method to fill missing values with the last
