How do I create a DataFrame in Pandas?

How do I create a DataFrame in Pandas?

You can create a DataFrame using the pd.DataFrame() function. For example:

import pandas as pd

data = {'Column1': [1, 2, 3], 'Column2': [4, 5, 6]}

df = pd.DataFrame(data)
print(df)

What if I want to read data from a CSV file?

You can use the pd.read_csv() function to read data from a CSV file. For example:

df = pd.read_csv('file.csv')
print(df)

How can I filter rows in a DataFrame?

You can filter rows using boolean indexing. For example:

filtered_df = df[df['Column1'] > 1]
print(filtered_df)

Can I add a new column to the DataFrame?

Yes, you can add a new column by assigning a list or a value to a new column name:

df['NewColumn'] = [7, 8, 9]
print(df)