Working with pandas
pandas is one of Python's most popular packages for data analysis and manipulation. It provides powerful data structures like DataFrames, which let you work with structured data efficiently - filtering, aggregating, and transforming datasets with just a few lines of code. As a developer, you'll often encounter pandas when building e-commerce platforms, processing transaction data, or implementing analytics features for business dashboards.
In this exercise, the sales dictionary has been created and contains information on recent transactions.
Questo esercizio fa parte del corso
Intermediate Python for Developers
Istruzioni dell'esercizio
- Import the
pandasmodule using an alias ofpd. - Convert
salesinto a DataFrame, saving assales_df. - Preview the first few rows of
sales_df.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Import pandas as pd
import pandas ____ ____
# Convert sales to a pandas DataFrame
sales_df = ____.____(sales)
# Preview the first few rows
print(sales_df.____())