Series
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>>> from pandas import Series
>>> s3 = Series([3, 9, 4, 7], index=['a', 'b', 'c', 'd'])
>>> s3
a 3
b 9
c 4
d 7
dtype: int64
>>> s3 * 5
a 15
b 45
c 20
d 35
dtype: int64
>>> s3
a 3
b 9
c 4
d 7
DataFrame
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>>> from pandas import DataFrame
>>> data = {"name":["yahoo", "google", "facebook"], "marks":[200, 400, 800], "price":[9, 3, 7]}
>>> data
{'price': [9, 3, 7], 'name': ['yahoo', 'google', 'facebook'], 'marks': [200, 400, 800]}
>>> f1 = DataFrame(data)
>>> f1
marks name price
0 200 yahoo 9
1 400 google 3
2 800 facebook 7
>>> f2 = DataFrame(data, columns=['name','price', 'marks'])
>>> f2
name price marks
0 yahoo 9 200
1 google 3 400
2 facebook 7 800
>>>