CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 1.0.0 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 1.0.0 (JANUARY 29, 2020) These are the changes in pandas 1.0.0. See release for a full changelog pd.DataFrame({"A": [1, 2, 3], "B": [1, 2, 3]}, index=['a', 'a', 'b']) In [2]: print(df.to_markdown()) | | A | B | |:---|----:|----:| | a | 1 | 1 | | a | 2 | 2 | | b | 3 | 3 | 1.3 Experimental new using the nullable integer dtype: In [3]: s = pd.Series([1, 2, None], dtype="Int64") In [4]: s Out[4]: 0 1 1 2 2 Length: 3, dtype: Int64 In [5]: s[2] Out[5]: Compared to np.nan, pd.NA

the overview for more detail about what’s in the library. CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 0.25.1 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 0.25.0 (JULY 18, 2019) Warning: when renaming). A similar approach is now available for Series groupby objects as well. Because there’s no need for column selection, the values can just be the functions to apply In [5]: animals.groupby("kind") Out[5]: min_height max_height kind cat 9.1 9.5 dog 6.0 34.0 [2 rows x 2 columns] 4 Chapter 1. What’s new in 0.25.0 (July 18, 2019) pandas: powerful Python data analysis toolkit, Release 0.25.1 This type

the overview for more detail about what’s in the library. CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 0.25.0 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 0.25.0 (JULY 18, 2019) Warning: when renaming). A similar approach is now available for Series groupby objects as well. Because there’s no need for column selection, the values can just be the functions to apply In [5]: animals.groupby("kind") recommended alternative to the deprecated behavior when passing a dict to a Series 4 Chapter 1. What’s new in 0.25.0 (July 18, 2019) pandas: powerful Python data analysis toolkit, Release 0.25.0 groupby

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 577 2.11.11 Differences to R’s factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578 iii 2.11.12 Gotchas . . . . . . . . . . . . . . 2483 5.1.1 What’s new in 1.1.1 (August 20, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2483 5.1.2 What’s new in 1.1.0 (July 28, 2020) . . . . . . . . . . . . . . . . . . . . . . 2527 5.2.1 What’s new in 1.0.5 (June 17, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2527 5.2.2 What’s new in 1.0.4 (May 28, 2020) . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 577 2.11.11 Differences to R’s factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578 iii 2.11.12 Gotchas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2483 5.1.1 What’s new in 1.1.0 (July 28, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2483 5.2 Version . . . . . . . . . . . . . . 2525 5.2.1 What’s new in 1.0.5 (June 17, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2525 5.2.2 What’s new in 1.0.4 (May 28, 2020) . . . . . . . . .

12145 items / 3 skipped ..................................................................S...... ........S................................................................ ........................... pyreadstat SPSS files (.sav) reading pytables 3.4.2 HDF5 reading / writing qtpy Clipboard I/O s3fs 0.0.8 Amazon S3 access xarray 0.8.2 pandas-like API for N-dimensional data xclip Clipboard I/O on linux passing a list of values, letting pandas create a default integer index: In [3]: s = pd.Series([1, 3, 5, np.nan, 6, 8]) In [4]: s Out[4]: 0 1.0 1 3.0 2 5.0 3 NaN 4 6.0 5 8.0 dtype: float64 Creating a

Package overview for more detail about what’s in the library. CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 0.24.0 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 0.24.0 (JANUARY 25, 2019) Warning: in string outputs. (GH20700, GH20747, GH22441, GH21789, GH22346) In [1]: s = pd.Series([1, 2, np.nan], dtype='Int64') In [2]: s Out[2]: (continues on next page) 3 pandas: powerful Python data analysis propagate NaN as other pandas operations. # arithmetic In [3]: s + 1 Out[3]: 0 2 1 3 2 NaN Length: 3, dtype: Int64 # comparison In [4]: s == 1 \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\Out[4]:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 569 2.8.11 Differences to R’s factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 570 2.8.12 Gotchas . . . . . . . . . . . . . . 2389 5.1.1 What’s new in 1.0.5 (June 17, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2389 5.1.2 What’s new in 1.0.4 (May 28, 2020) . . . . . . . . . . . . . . . . . . . . . . . 2390 5.1.3 What’s new in 1.0.3 (March 17, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2391 5.1.4 What’s new in 1.0.2 (March 12, 2020) . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 568 2.8.11 Differences to R’s factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 569 2.8.12 Gotchas . . . . . . . . . . . . . . . 2385 5.1.1 What’s new in 1.0.4 (May 28, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2385 5.1.2 What’s new in 1.0.3 (March 17, 2020) . . . . . . . . . . . . . . . . . . . . . . 2387 5.1.3 What’s new in 1.0.2 (March 12, 2020) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2387 5.1.4 What’s new in 1.0.1 (February 5, 2020) . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663 2.12.11 Differences to R’s factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664 2.12.12 Gotchas . . . . . . . . . . . . . . . . 2761 5.1.1 What’s new in 1.3.3 (September 12, 2021) . . . . . . . . . . . . . . . . . . . . . . . . . . . 2761 5.1.2 What’s new in 1.3.2 (August 15, 2021) . . . . . . . . . . . . . . . . . . . 2763 x 5.1.3 What’s new in 1.3.1 (July 25, 2021) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2764 5.1.4 What’s new in 1.3.0 (July 2, 2021) . . . . . . . . .