Dictonary:{(8758148.0, 'CI Alpine Growth Equity Fund'): D    0.000016 Name: 8758148.0, dtype: float64, (8758148.0, 'CI American Growth Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI American Small Companies Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI American Value Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI Canadian Equity Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI Canadian Investment Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI Canadian Small Cap Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI Canadian Small/Mid Cap Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI Global Bond RSP Fund'): D    0.0 Name: 8758148.0, dtype: float64, (8758148.0, 'CI Harbour Fund'): D    0.0 Name: 8758148.0, dtype: float64 }I need the dataframe to be: id          Name                                Value 8758148.0   CI Alpine Growth Equity Fund        0.000016I am stuck in issue where I need to convert list into such a data frame with certain name of the columns 
Convert List to DataFrame
python;pandas;dataframe