How i can get the specific column data from the csv file based on column name. please suggest me to write the python script to get the same.
答案 0 :(得分：0)
i basically suggest you look around the sites before asking questions like this since there are many answers there to satisfy your requirement have check out this link Read specific columns from a csv file with csv module? i would suggest you to use pandas for this questions
In [1]: dates = pd.date_range('1/1/2000', periods=8)
In [2]: df = pd.DataFrame(np.random.randn(8, 4), index=dates, columns=['A', 'B', 'C', 'D'])
In [3]: df
Out[3]:
A B C D
2000-01-01 0.469112 -0.282863 -1.509059 -1.135632
2000-01-02 1.212112 -0.173215 0.119209 -1.044236
2000-01-03 -0.861849 -2.104569 -0.494929 1.071804
2000-01-04 0.721555 -0.706771 -1.039575 0.271860
2000-01-05 -0.424972 0.567020 0.276232 -1.087401
2000-01-06 -0.673690 0.113648 -1.478427 0.524988
2000-01-07 0.404705 0.577046 -1.715002 -1.039268
2000-01-08 -0.370647 -1.157892 -1.344312 0.844885
In [4]: panel = pd.Panel({'one' : df, 'two' : df - df.mean()})
In [5]: panel
Out[5]:
<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 8 (major_axis) x 4 (minor_axis)
Items axis: one to two
Major_axis axis: 2000-01-01 00:00:00 to 2000-01-08 00:00:00
Minor_axis axis: A to D
and you could get the column using
In [15]: df.A
Out[15]:
2000-01-01 -0.282863
2000-01-02 -0.173215
2000-01-03 -2.104569
2000-01-04 -0.706771
2000-01-05 0.567020
2000-01-06 0.113648
2000-01-07 0.577046
2000-01-08 -1.157892
Freq: D, Name: A, dtype: float64
i took this example from pandas home page give credits to them for building such a fascinating library.