Understanding How to Avoid NaN Values When Merging Pandas DataFrames

The code you've provided is a Python script that creates a DataFrame, updates its values using the `iloc` method, and then prints the original DataFrame, the updated DataFrame with the first three columns updated, and finally the updated DataFrame with all six columns updated.

Calculating Time Difference Between First and Last Record in a Pandas DataFrame

Selecting Rows with Multiple Boolean Filters in Sequence Using Pandas.loc

Improving Pandas Series Alignment in IPython Notebooks: Tips and Tricks

Here is the complete code with comments:

Converting Date Strings from a PySimpleGUI Multiline Box to Pandas Datetime Objects

Matching Rows by Datetime in DataFrames: A Pandas Solution Guide

Groupby Value Counts on Pandas DataFrame: Optimized Methods for Large Datasets

Aggregating Unique Values and Calculating Cumulative Sums with Pandas GroupBy