Metadata-Version: 1.2
Name: l-pdseries-2-l-dfs
Version: 0.1
Summary: Creating list of series to list of dfs
Home-page: http://github.com/YogenderPalChandra/pandasSeries2pandasDf
Author: Yogender Pal Chandra
Author-email: yogender027mae@gmail.com
License: MIT
Description: #Description: this function: <l_pdseries_2_l_dfs> converts a list of
        #pandas series to list of pandas data frame. For further easy analysis of 
        #list of dfs. Many times we are faced that we have a list of list of pandas df.
        # this function helps in such situations
        
        #To use:
        
        import l_pdseries_2_l_dfs as s2df
        
        l_series_2_l_dfs = s2df.l_pdseries_2_l_dfs(l_series, ndfs)
        
        #where l_series is a list of pandas series. It must be of the shape:
        
        >>shape_of_l_series = [inner_element.shape for inner_element in l_series]
        >>shape_of_l_series
        
        [(1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1232,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (1110,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (234,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (1930,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,),
         (841,)]
        
        # so we have a list of series of pandas series with shapes each: [(1232,), (1110,), (234,), (1930,), #(841,)]
        #So if we want to create a data frame out of these list of series we can use the above module. 
        #Again we have 33 series (columns) of each of the shape, so we want to make a data frame with 33. Also, #we have 5 different series so we want to have 5 dfs. hence, ndfs = 5 in this case. please choose #according to your data the value of ndfs. correct value of ndfs is imporant otherwise it will throw #error. The return value of module is a list of data frames of shape: [(1207, 33), (1086, 33), (234, #33), (1905, 33), (816, 33)]
        
         
        
Keywords: list of Pandas series to list of pandas data frame
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.6
