[11]: s Out[11]: 0 abc 1 2 def Length: 3, dtype: string The usual string accessor methods work. Where appropriate, the return type of the Series or columns of a DataFrame will also have string throughout the development of pandas. Optional libraries below the lowest tested version may still work, but are not considered supported. 16 Chapter 1. What’s new in 1.0.0 (January 29, 2020) pandas: extension dtype columns (GH28668) • Categorical.searchsorted() and CategoricalIndex.searchsorted() now work on un- ordered categoricals also (GH21667) • Added test to assert roundtripping to parquet with DataFrame

no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form you install BeautifulSoup4 you must install either lxml or html5lib or both. read_html() will not work with only BeautifulSoup4 installed. • You are highly encouraged to read HTML Table Parsing gotchas

no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form you install BeautifulSoup4 you must install either lxml or html5lib or both. read_html() will not work with only BeautifulSoup4 installed. • You are highly encouraged to read HTML Table Parsing gotchas

no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form you install BeautifulSoup4 you must install either lxml or html5lib or both. read_html() will not work with only BeautifulSoup4 installed. • You are highly encouraged to read HTML Table Parsing gotchas

no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form you install BeautifulSoup4 you must install either lxml or html5lib or both. read_html() will not work with only BeautifulSoup4 installed. • You are highly encouraged to read HTML Table Parsing gotchas

no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form you install BeautifulSoup4 you must install either lxml or html5lib or both. read_html() will not work with only BeautifulSoup4 installed. • You are highly encouraged to read HTML Table Parsing gotchas

reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts. no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form

reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts. no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form

reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts. no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form

no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise. Adding a column to a DataFrame based on existing data in other columns is straightforward split-apply-combine approach. To introduction tutorial To user guide Straight to tutorial... Change the structure of your data table in multiple ways. You can melt() your data table from wide to long/tidy form you install BeautifulSoup4 you must install either lxml or html5lib or both. read_html() will not work with only BeautifulSoup4 installed. • You are highly encouraged to read HTML Table Parsing gotchas