Working with multiple datasets? Combine them just like SQL:
# Inner join (default)
merged = pd.merge(df_sales, df_customers, on='customer_id')
# Left join
pd.merge(df_sales, df_customers, on='customer_id', how='left')
# Concatenate vertically
all_data = pd.concat([df_2023, df_2024], ignore_index=True)
# Join on index
df1.join(df2, on='date')
This wraps up our Data Manipulation Using Pandas Series.
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