894066 2013-01-09 -0.933857 -0.030896 2013-01-10 -0.012390 0.253387 [6 rows x 2 columns] Use an inline column reference In [43]: read_hdf(path,’dfq’, ....: where="A>0 or C>0") ....: Out[43]: A B documentation. This is a great First Pull Request (to add interesting links and/or put short code inline for existing links) 7.1 Idioms These are some neat pandas idioms How to do if-then-else? How 474021 2013-01-09 -0.804834 -2.123620 2013-01-10 0.334198 0.536784 [6 rows x 2 columns] Use and inline column reference In [286]: store.select(’dfq’,where="A>0 or C>0") Out[286]: A B C D 2013-01-01

553921 2013-01-09 1.529401 0.205455 2013-01-10 0.299071 1.076541 [6 rows x 2 columns] Use an inline column reference In [43]: read_hdf(path,’dfq’, ....: where="A>0 or C>0") ....: Out[43]: A B documentation. This is a great First Pull Request (to add interesting links and/or put short code inline for existing links) 7.1 Idioms These are some neat pandas idioms How to do if-then-else? How 2013-01-08 0.796595 -0.474021 2013-01-09 -0.804834 -2.123620 2013-01-10 0.334198 0.536784 Use and inline column reference In [284]: store.select(’dfq’,where="A>0 or C>0") Out[284]: A B C D 2013-01-01

2013-01-08 -1.043530 -0.708145 2013-01-09 0.813949 1.508891 2013-01-10 1.176488 -1.246093 Use inline column reference. In [452]: store.select("dfq", where="A>0 or C>0") Out[452]: A B C D 2013-01-01 easy to add a class to the main using .set_table_attributes(). This method can also attach inline styles - read more in CSS Hierarchies. [14]: out = s.set_table_attributes('class="my-table-cls"') importance score for each HTML element is derived by starting at zero and adding: • 1000 for an inline style attribute 734 Chapter 2. User Guide pandas: powerful Python data analysis toolkit, Release

pandas: powerful Python data analysis toolkit - 1.3.3

2013-01-08 -1.043530 -0.708145 2013-01-09 0.813949 1.508891 2013-01-10 1.176488 -1.246093 Use inline column reference. In [452]: store.select("dfq", where="A>0 or C>0") Out[452]: A B C D 2013-01-01 easy to add a class to the main

using .set_table_attributes(). This method can also attach inline styles - read more in CSS Hierarchies. [14]: out = s.set_table_attributes('class="my-table-cls"') importance score for each HTML element is derived by starting at zero and adding: • 1000 for an inline style attribute • 100 for each ID • 10 for each attribute, class or pseudo-class • 1 for each

pandas: powerful Python data analysis toolkit - 1.3.4

2013-01-08 -1.043530 -0.708145 2013-01-09 0.813949 1.508891 2013-01-10 1.176488 -1.246093 Use inline column reference. In [452]: store.select("dfq", where="A>0 or C>0") Out[452]: A B C D 2013-01-01 easy to add a class to the main

using .set_table_attributes(). This method can also attach inline styles - read more in CSS Hierarchies. [14]: out = s.set_table_attributes('class="my-table-cls"') importance score for each HTML element is derived by starting at zero and adding: • 1000 for an inline style attribute • 100 for each ID • 10 for each attribute, class or pseudo-class • 1 for each

pandas: powerful Python data analysis toolkit - 1.5.0rc0

the input is inside a notebook. In Jupyter Notebooks the last line is printed and plots are shown inline. For example: In [3]: a = 1 In [4]: a Out[4]: 1 is equivalent to: a = 1 print(a) 151 pandas: 2013-01-08 1.053434 1.109090 2013-01-09 -0.772942 -0.269415 2013-01-10 0.048562 -0.285920 Use inline column reference. In [494]: store.select("dfq", where="A>0 or C>0") Out[494]: A B C D 2013-01-01 easy to add a class to the main

using .set_table_attributes(). This method can also attach inline styles - read more in CSS Hierarchies. [16]: out = s.set_table_attributes('class="my-table-cls"')

pandas: powerful Python data analysis toolkit - 1.0.0

2013-01-08 1.145178 1.091743 2013-01-09 -0.304281 -0.164389 2013-01-10 -0.105767 0.972967 Use inline column reference. In [403]: store.select('dfq', where="A>0 or C>0") Out[403]: A B C D 2013-01-01 pandas recipes. We encourage users to add to this documentation. Adding interesting links and/or inline examples to this section is a great First Pull Request. Simplified, condensed, new-user friendly or italics will be used in docstrings, but is it common to have inline code, which is presented between backticks. It is considered inline code: – The name of a parameter – Python code, a module, function

0 码力 | 3015 页 | 10.78 MB | 1 年前

3

pandas: powerful Python data analysis toolkit - 0.25.0

2013-01-08 0.319459 0.828792 2013-01-09 -0.446442 0.030712 2013-01-10 -0.627425 0.599256 Use and inline column reference In [414]: store.select('dfq', where="A>0 or C>0") Out[414]: A B C D 2013-01-03 pandas recipes. We encourage users to add to this documentation. Adding interesting links and/or inline examples to this section is a great First Pull Request. Simplified, condensed, new-user friendly or italics will be used in docstrings, but is it common to have inline code, which is presented between backticks. It is considered inline code: – The name of a parameter – Python code, a module, function

0 码力 | 2827 页 | 9.62 MB | 1 年前

3

pandas: powerful Python data analysis toolkit - 0.25.1

2013-01-08 0.319459 0.828792 2013-01-09 -0.446442 0.030712 2013-01-10 -0.627425 0.599256 Use and inline column reference In [414]: store.select('dfq', where="A>0 or C>0") Out[414]: A B C D 2013-01-03 pandas recipes. We encourage users to add to this documentation. Adding interesting links and/or inline examples to this section is a great First Pull Request. 838 Chapter 4. User Guide pandas: powerful or italics will be used in docstrings, but is it common to have inline code, which is presented between backticks. It is considered inline code: – The name of a parameter – Python code, a module, function

0 码力 | 2833 页 | 9.65 MB | 1 年前

3

pandas: powerful Python data analysis toolkit - 1.4.2

2013-01-08 -1.043530 -0.708145 2013-01-09 0.813949 1.508891 2013-01-10 1.176488 -1.246093 Use inline column reference. In [456]: store.select("dfq", where="A>0 or C>0") Out[456]: A B C D 2013-01-01 easy to add a class to the main

using .set_table_attributes(). This method can also attach inline styles - read more in CSS Hierarchies. [16]: out = s.set_table_attributes('class="my-table-cls"') importance score for each HTML element is derived by starting at zero and adding: • 1000 for an inline style attribute • 100 for each ID • 10 for each attribute, class or pseudo-class • 1 for each