source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the overview for more detail about whats in the library 0.25.3 • Hierarchical labeling of axes (possible to have multiple labels per tick) • Robust IO tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving / loading consider df + df and df * 2. To test that these two computations produce the same result, given the tools shown above, you might imagine using (df + df == df * 2).all(). But in fact, this expression is False:

. . . . . . . . . . . . . 517 xi 9.6.4 Transform API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517 9.6.4.1 Transform with multiple functions . . . . . . . . potentially changes underlying Series dtype . . . . . . . . . . . . . . . . . . . . . 666 14 Computational tools 669 14.1 Statistical Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 947 22.4 Plotting Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 948

. . . . . . . . . . . . . . . 515 9.6.4 Transform API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 515 9.6.4.1 Transform with multiple functions . . . . . . . . changes underlying Series dtype . . . . . . . . . . . . . . . . . . . . . 664 xiii 14 Computational tools 667 14.1 Statistical Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 942 22.4 Plotting Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 943

. . . . . . . . . . . . . . . 543 9.6.4 Transform API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543 9.6.4.1 Transform with multiple functions . . . . . . . . potentially changes underlying Series dtype . . . . . . . . . . . . . . . . . . . . . 696 14 Computational tools 699 14.1 Statistical Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 980 22.4 Plotting Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 981

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.4.4 Comparison with other tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 1.4.5 Community tutorials columns based on dtype . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 2.4 IO tools (text, CSV, HDF5, ...) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 missing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 711 2.15.4 Plotting tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 712 2.15.5 Plot

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.4.4 Comparison with other tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 1.4.5 Community tutorials columns based on dtype . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 2.4 IO tools (text, CSV, HDF5, ...) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 missing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 710 2.15.4 Plotting tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 711 2.15.5 Plot

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.4.4 Comparison with other tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 1.4.5 Community tutorials Selecting columns based on dtype . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 2.4 IO tools (text, CSV, HDF5, ...) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262 missing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681 2.15.4 Plotting tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682 2.15.5 Plot

source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. To the getting started guides To the user guide To the reference environment before calling pip install pandas. 1.5.14 Other API changes • core.groupby.GroupBy.transform now raises on invalid operation names (GH27489) • pandas.api.types.infer_dtype() will now return when used within a groupby (GH28779) • Bug in DataFrame.groupby() where any, all, nunique and transform functions would incorrectly handle duplicate column labels (GH21668) • Bug in core.groupby.DataFrameGroupBy

source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the overview for more detail about what’s in the library split list-like values to rows Series and DataFrame have gained the DataFrame.explode() methods to transform list-likes to individual rows. See section on Exploding list-like column in docs for more information grouping would return incor- rect results (GH26011) • Bug in pandas.core.groupby.SeriesGroupBy.transform() where transforming an empty group would raise a ValueError (GH26208) • Bug in pandas.core.frame

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.4.4 Comparison with other tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 1.4.5 Community tutorials columns based on dtype . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 2.4 IO tools (text, CSV, HDF5, ...) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 missing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714 2.15.4 Plotting tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 715 2.15.5 Plot