Da Pivot Tables — Free Data Analytics Tutorial
Learn Da Pivot Tables in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Pivot Tables in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Da Pivot Tables in Data Analytics
Pivot tables reshape data by specifying index, columns, and values.
Use pd.pivot_table(df, index='row_col', columns='col_col', values='value_col', aggfunc='sum').
Aggregation functions: sum, mean, count, min, max, std.
Useful for creating cross-tabulations and summary reports.
NaN values in pivot tables can be filled with fill_value parameter.
Da Pivot Tables — Syntax
# Basic pivot:
# pd.pivot_table(df, index='category', columns='month', values='sales', aggfunc='sum')
#
# Multiple aggregations:
# pd.pivot_table(df, index='store', values=['sales', 'quantity'], aggfunc={'sales': 'sum', 'quantity': 'mean'})
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