In [2]:

    

import numpy as np
import matplotlib.pyplot as plt
import datetime as dt
from io import StringIO
%matplotlib inline


    

In [5]:

    

data1 = np.genfromtxt('temperature.csv', delimiter=",")


    

In [3]:

    

temperatureDateConverter = lambda d : dt.datetime.strptime(str(d),'%m/%d/%y %H:%M')
temperature = np.genfromtxt('temperature.csv', delimiter=",",
                            dtype=[('timestamp', type(dt.datetime.now)),('tempF', 'f8')],
                            converters={0: temperatureDateConverter}, skip_header=1)


    

In [4]:

    

print(temperature)


    

    




[(None, 54.43) (None, 54.691) (None, 54.604) ..., (None, 54.95)
 (None, 54.86) (None, 54.64)]

In [45]:

    

help np.genfromtxt


    

    




  File "<ipython-input-45-0ffdfdeb845b>", line 1
    help np.genfromtxt
          ^
SyntaxError: invalid syntax

In [51]:

    

data1 = np.genfromtxt('temperature.csv', delimiter=",")


    

In [62]:

    

print(type(data1[1,0]))


    

    




<class 'numpy.float64'>

In [61]:

    

print(data1[1,0])


    

    




nan

In [79]:

    

a = dt.datetime.strptime('11/10/13 5:00','%m/%d/%y %H:%M')
print(a)


    

    




2013-11-10 05:00:00

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