tutorials/pandas_tutorial.py at main · atomicaristides/tutorials · GitHub

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>>import numpy  as np
>>import pandas as pd

>>s = pd.Series([1,2,3,5,np.nan,6,8])
>>s
>> Out[4]:
	0    1.0
	1    3.0
	2    5.0
	3    NaN
	4    6.0
	5    8.0
dtype: float64
In [5]: dates = pd.date_range("20130101", periods=6)

In [6]: dates
Out[6]:
DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',
               '2013-01-05', '2013-01-06'],
              dtype='datetime64[ns]', freq='D')

In [7]: df = pd.DataFrame(np.random.randn(6, 4), index=dates, columns=list("ABCD"))

In [8]: df
Out[8]:
                   A         B         C         D
2013-01-01  0.469112 -0.282863 -1.509059 -1.135632
2013-01-02  1.212112 -0.173215  0.119209 -1.044236
2013-01-03 -0.861849 -2.104569 -0.494929  1.071804
2013-01-04  0.721555 -0.706771 -1.039575  0.271860
2013-01-05 -0.424972  0.567020  0.276232 -1.087401
2013-01-06 -0.673690  0.113648 -1.478427  0.524988