. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2840 4.10.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2840 4.10.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data, or grouped by categories columns to melt together • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2666 4.10.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2666 4.10.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data, or grouped by categories columns to melt together • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2745 4.10.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2745 4.10.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data, or grouped by categories columns to melt together • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2745 4.10.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2745 4.10.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data, or grouped by categories columns to melt together • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2838 4.10.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2838 4.10.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data, or grouped by categories columns to melt together • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 1.9.1.1 Custom Business Hour . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 1.9.1.2 .groupby( Mixed Dtypes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 542 9.6.3.4 Custom describe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543 9.6.4 Transform of Timestamps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 847 19.4.1 Custom Frequency Ranges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 849 19.5

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2468 4.5.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2468 4.5.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data or grouped by categories toolkit, Release 1.1.1 • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column

(GH28987, GH30936) 3 pandas: powerful Python data analysis toolkit, Release 1.0.0 1.2.2 Defining custom windows for rolling operations We’ve added a pandas.api.indexers.BaseIndexer() class that allows used for each window during the rolling aggregation. For more details and example usage, see the custom window rolling documentation 1.2.3 Converting to Markdown We’ve added to_markdown() for creating configuration value for options.matplotlib.register_converters from True to "auto" (GH18720). Now, pandas custom formatters will only be applied to plots created by pandas, through plot(). Previously, pandas’ formatters

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2468 4.5.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2468 4.5.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data or grouped by categories toolkit, Release 1.1.0 • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3008 4.8.1 Registering custom accessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3008 4.8.2 Extension tutorial... Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire data set, a sliding window of the data, or grouped by categories columns to melt together • value_name provides a custom column name for the values column instead of the default column name value • var_name provides a custom column name for the column collecting the column