Create pandas Dataframe by appending one row at a time

>>> import pandas as pd

>>> from numpy.random import randint

>>> df = pd.DataFrame(columns=['lib', 'qty1', 'qty2'])

>>> for i in range(5):

>>>     df.loc[i] = ['name' + str(i)] + list(randint(10, size=2))

>>> df

     lib qty1 qty2

0  name0    3    3

1  name1    2    4

2  name2    2    8

3  name3    2    1

4  name4    9    6

data = []

for a, b, c in some_function_that_yields_data():

    data.append([a, b, c])



df = pd.DataFrame(data, columns=['A', 'B', 'C'])