pandas: powerful Python data analysis toolkit, Release 0.13.1 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments limitations: HTML support, horizontal scrolling, auto-detection of width/height. To appropriately address all these environments, the display behavior is controlled by several options, which you’re encouraged In [16]: np.exp(s) Out[16]: a 0.261 b 2.328 c 2.932 d 0.897 e 5.174 dtype: float64 We will address array-based indexing in a separate section. 8.1.2 Series is dict-like A Series is like a fixed-size

pandas: powerful Python data analysis toolkit, Release 0.14.0 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments limitations: HTML support, horizontal scrolling, auto-detection of width/height. To appropriately address all these environments, the display behavior is controlled by several options, which you’re encouraged In [16]: np.exp(s) Out[16]: a 2.401 b 0.110 c 2.650 d 0.134 e 0.664 dtype: float64 We will address array-based indexing in a separate section. 8.1.2 Series is dict-like A Series is like a fixed-size

pandas: powerful Python data analysis toolkit, Release 0.19.0 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments and what is being used now, is np.intp, which corresponds to the C integer size that can hold a pointer (GH3033, GH13972). These types are the same on many platform, but for 64 bit python on Windows, by keyword. • Series/DataFrame.sortlevel worked only on a MultiIndex for sorting by index. To address these issues, we have revamped the API: • We have introduced a new method, DataFrame.sort_values()

pandas: powerful Python data analysis toolkit, Release 0.19.1 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments and what is being used now, is np.intp, which corresponds to the C integer size that can hold a pointer (GH3033, GH13972). 34 Chapter 1. What’s New pandas: powerful Python data analysis toolkit, Release by keyword. • Series/DataFrame.sortlevel worked only on a MultiIndex for sorting by index. To address these issues, we have revamped the API: • We have introduced a new method, DataFrame.sort_values()

pandas: powerful Python data analysis toolkit, Release 0.17.0 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments by keyword. • Series/DataFrame.sortlevel worked only on a MultiIndex for sorting by index. To address these issues, we have revamped the API: • We have introduced a new method, DataFrame.sort_values() [15]: np.exp(s) Out[15]: a 0.0619 b 1.5318 c 0.5218 d 3.1472 e 0.5153 dtype: float64 We will address array-based indexing in a separate section. 9.1.2 Series is dict-like A Series is like a fixed-size

pandas: powerful Python data analysis toolkit, Release 0.20.3 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments Silenced a warning on some Windows environments about “tput: terminal attributes: No such device or address” when detecting the terminal size. This fix only applies to python 3 (GH16496) • Bug in using pathlib and what is being used now, is np.intp, which corresponds to the C integer size that can hold a pointer (GH3033, GH13972). These types are the same on many platform, but for 64 bit python on Windows,

pandas: powerful Python data analysis toolkit, Release 0.21.1 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments Silenced a warning on some Windows environments about “tput: terminal attributes: No such device or address” when detecting the terminal size. This fix only applies to python 3 (GH16496) • Bug in using pathlib and what is being used now, is np.intp, which corresponds to the C integer size that can hold a pointer (GH3033, GH13972). These types are the same on many platform, but for 64 bit python on Windows,

pandas: powerful Python data analysis toolkit, Release 0.15.2 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments In [16]: np.exp(s) Out[16]: a 0.062 b 1.532 c 0.522 d 3.147 e 0.515 dtype: float64 We will address array-based indexing in a separate section. 8.1.2 Series is dict-like A Series is like a fixed-size treatment of more sophisticated label-based indexing and slicing, see the section on indexing. We will address the fundamentals of reindexing / conforming to new sets of labels in the section on reindexing.

pandas: powerful Python data analysis toolkit, Release 0.15.1 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments In [16]: np.exp(s) Out[16]: a 0.062 b 1.532 c 0.522 d 3.147 e 0.515 dtype: float64 We will address array-based indexing in a separate section. 8.1.2 Series is dict-like A Series is like a fixed-size treatment of more sophisticated label-based indexing and slicing, see the section on indexing. We will address the fundamentals of reindexing / conforming to new sets of labels in the section on reindexing.

pandas: powerful Python data analysis toolkit, Release 0.20.2 Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments Silenced a warning on some Windows environments about “tput: terminal attributes: No such device or address” when detecting the terminal size. This fix only applies to python 3 (GH16496) • Bug in using pathlib and what is being used now, is np.intp, which corresponds to the C integer size that can hold a pointer (GH3033, GH13972). These types are the same on many platform, but for 64 bit python on Windows,