C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 Out[353]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [354]: store['df'] backend. For instance, ‘matplotlib’. Alternatively, to specify the plotting.backend for the whole session, set pd.options.plotting. backend. New in version 1.0.0. legend [bool, default False] Whether to

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 Out[353]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [354]: store['df'] backend. For instance, ‘matplotlib’. Alternatively, to specify the plotting.backend for the whole session, set pd.options.plotting. backend. New in version 1.0.0. legend [bool, default False] Whether to

DataFrame.plot() now allow a backend keyword argument to allow changing between backends in one session (GH28619). • Bug in color validation incorrectly raising for non-color styles (GH29122). • Allow C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 Out[352]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [353]: store['df']

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 the caching implementation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series Out[352]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: 2.4. IO tools (text, CSV, HDF5, . . . ) 301 pandas: powerful

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 the caching implementation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series Out[401]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [402]: store["df"]

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 the caching implementation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series Out[352]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: 2.4. IO tools (text, CSV, HDF5, . . . ) 301 pandas: powerful

analysis toolkit, Release 1.3.3 (continued from previous page) ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 caching imple- mentation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series Out[401]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [402]: store["df"]

analysis toolkit, Release 1.3.4 (continued from previous page) ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 caching imple- mentation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series Out[401]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [402]: store["df"]

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 Out[352]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [353]: store['df'] backend. For instance, ‘matplotlib’. Alternatively, to spec- ify the plotting.backend for the whole session, set pd.options.plotting. backend. New in version 1.0.0. **kwargs To be passed to the actual plotting

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 Out[352]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [353]: store['df'] backend. For instance, ‘matplotlib’. Alternatively, to spec- ify the plotting.backend for the whole session, set pd.options.plotting. backend. New in version 1.0.0. **kwargs To be passed to the actual plotting