Python: create a pandas data frame from a list
DataFrame.from_records treats string as a character list. so it needs as many columns as length of string.
You could simply use the DataFrame constructor.
In [3]: pd.DataFrame(q_list, columns=['q_data'])Out[3]: q_data0 1123544011 1161155262 1149093123 1224254914 1319570255 111373473
In[20]: test_list = [['a','b','c'], ['AA','BB','CC']]In[21]: pd.DataFrame(test_list, columns=['col_A', 'col_B', 'col_C'])Out[21]: col_A col_B col_C0 a b c1 AA BB CCIn[22]: pd.DataFrame(test_list, index=['col_low', 'col_up']).TOut[22]: col_low col_up0 a AA1 b BB2 c CC
If you want to create a DataFrame from multiple lists you can simply zip the lists. This returns a 'zip' object. So you convert back to a list.
mydf = pd.DataFrame(list(zip(lstA, lstB)), columns = ['My List A', 'My List B'])