["python","dictionary","pandas","dataframe"]
Convert list of dictionaries to a pandas DataFrame

How can I convert a list of dictionaries into a DataFrame? I want to turn [{'points': 50, 'time': '5:00', 'year': 2010}, {'points': 25, 'time': '6:00', 'month': "february"}, {'points':90, 'time': '9:00', 'month': 'january'}, {'points_h1':20, 'month': 'june'}] into month points points_h1 time year 0 NaN 50 NaN 5:00 2010 1 february 25 NaN 6:00 NaN 2 january 90 NaN 9:00 NaN 3 june NaN 20 NaN NaN
If ds is a list of dicts: df = pd.DataFrame(ds) Note: this does not work with nested data.