Create a DataFrame from all the possible combination of a dict

expand_grid.py

import pandas as pd
import itertools
import  numpy as np


# From here: https://pandas.pydata.org/pandas-docs/stable/cookbook.html#creating-example-data
def expand_grid(data_dict):
  rows = itertools.product(*data_dict.values())
  return pd.DataFrame.from_records(rows, columns=data_dict.keys())


d = {'sid': [1, 2, 3], 'tms_gmt': pd.date_range('2017-1-1', '2018-1-1'), 
     'bikes': [None, 10, 3, 2, 4, np.nan]}

df = expand_grid(d)