15 docs tagged with "pandas"

Ordered categories, finite vocabularies, binning, and encoding decisions.

Safe joins, concatenation, cardinality checks, and unmatched-key diagnostics.

A reproducible workflow for normalizing, parsing, validating, and reporting tabular data.

The labeled two-dimensional table and its core invariants.

Label, position, and MultiIndex selection without ambiguous semantics.

Parsing, time zones, periods, offsets, resampling, and rolling windows in pandas.

Split-apply-combine with explicit output-shape and missing-key decisions.

A defensive ingestion workflow for tabular files and external data.

A policy-driven approach to detecting, interpreting, and handling missing data.

A task-oriented map for tabular data work with pandas.

Composable, vectorized patterns and a decision guide for map, apply, agg, transform, and pipe.

Boolean filtering and readable predicates for DataFrames.

A guide to pivot, pivot_table, melt, stack, unstack, and explode.

Explicit selection, vectorized operations, mapping, and alignment for Series.

The one-dimensional labeled array at the core of pandas.