How do I map dicts in Python using pandas?

Mapping dictionaries in Python can be efficiently done using the Pandas library. This allows you to convert dictionaries into DataFrames and perform various operations like merging, joining, or applying functions across the DataFrame.

Keywords: Python, Pandas, mapping dicts, DataFrame, merge, join
Description: This guide explains how to map dictionaries using the Pandas library in Python, providing examples and clarifying key concepts.
import pandas as pd # Example dictionaries dict1 = {'A': 1, 'B': 2, 'C': 3} dict2 = {'A': 'Apple', 'B': 'Banana', 'C': 'Cherry'} # Mapping dictionaries to a DataFrame df1 = pd.DataFrame(list(dict1.items()), columns=['Letter', 'Number']) df2 = pd.DataFrame(list(dict2.items()), columns=['Letter', 'Fruit']) # Merging the DataFrames merged_df = pd.merge(df1, df2, on='Letter') print(merged_df)

Keywords: Python Pandas mapping dicts DataFrame merge join

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