data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']} pd.DataFrame.from_dict(data)
>>> data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']} >>> pd.DataFrame.from_dict(data) col_1 col_2 0 3 a 1 2 b 2 1 c 3 0 d
>>> pd.DataFrame.from_dict(data, orient='index', ... columns=['A', 'B', 'C', 'D']) A B C D row_1 3 2 1 0 row_2 a b c d
>>> data = {'row_1': [3, 2, 1, 0], 'row_2': ['a', 'b', 'c', 'd']} >>> pd.DataFrame.from_dict(data, orient='index') 0 1 2 3 row_1 3 2 1 0 row_2 a b c d
pd.DataFrame.from_dict(data)
import pandas as pd data = [{'area': 'new-hills', 'rainfall': 100, 'temperature': 20}, {'area': 'cape-town', 'rainfall': 70, 'temperature': 25}, {'area': 'mumbai', 'rainfall': 200, 'temperature': 39 }] df = pd.DataFrame.from_dict(data) df