Pandas is a powerful library in Python for data manipulation and analysis. While it offers many features, mastering a set of one-liners can significantly streamline your data operations. In this article, we’ll explore 30 essential Pandas one-liners, each demonstrating a specific functionality that can make your data manipulation tasks more efficient.
Before diving into the examples, ensure you have Pandas imported:
import pandas as pd
Create a DataFrame from a dictionary:
df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
View the first few rows of the DataFrame:
df.head()
View the last few rows of the DataFrame:
df.tail()
Get a concise summary of the DataFrame:
df.info()