Features

• dictionary of Series (dios)
• fast as pd.DataFrame
• every 'column' has its own index
• use very less memory then a disalignd pd.Dataframe
• dios[var] where var can be a list (or any iterable object) or a string
• dios[slice] where slice can be a row slicer
• dios.loc[rowindexer] act like pandas.Series().loc[rowindexer] for each series in the dios
• dios.loc[rowindexer, columns] like dios.loc[rowindexer] but for a subset of columns, which can be specified by a iterable, slice(on columns) or string
• +,-,*,/,//,% and ==,!=,>,>=,<=,< and ~,&,|,^ and is, in, len, all, any, empty, columns are implemented
• also pipe() (and as alias foreach()) is implemented, which pass any pandas.Series-method to every series in the dios and return the resulting dios