In [10]:
import pandas as pd
import numpy as np
from pandas import DataFrame, Series

In [16]:
dt = pd.read_csv('bjtime.csv')
dt


Out[16]:
bjtime
0 2016-12-18 03:33:33.153.5

In [17]:
dt['dateonestep'] = [pd.to_datetime(x[0:-2]+x[-1], format="%Y-%m-%d %H:%M:%S.%f") 
                    for x in dt['bjtime']]
dt


Out[17]:
bjtime dateonestep
0 2016-12-18 03:33:33.153.5 2016-12-18 03:33:33.153500

In [12]:
#dt['bjtimenew'] = map(lambda x: x[0:-2]+x[-1], dt['bjtime'])
dt['bjtimenew'] = [x[0:-2]+x[-1] for x in dt['bjtime']]
dt


Out[12]:
bjtime bjtimenew
0 2016-12-18 03:33:33.153.5 2016-12-18 03:33:33.1535

In [13]:
#dt['bjdate'] = map(lambda x: pd.to_datetime(x, format="%Y-%m-%d %H:%M:%S.%f"), dt['bjtimenew'])
dt['bjdata'] = [pd.to_datetime(x, format="%Y-%m-%d %H:%M:%S.%f") for x in dt['bjtimenew']]
dt


Out[13]:
bjtime bjtimenew bjdata
0 2016-12-18 03:33:33.153.5 2016-12-18 03:33:33.1535 2016-12-18 03:33:33.153500

In [5]:
import sys

for path in sys.path:
    print(path)


d:\Anaconda2\python27.zip
d:\Anaconda2\DLLs
d:\Anaconda2\lib
d:\Anaconda2\lib\plat-win
d:\Anaconda2\lib\lib-tk
d:\Anaconda2
d:\anaconda2\lib\site-packages\sphinx-1.4.1-py2.7.egg
d:\anaconda2\lib\site-packages\setuptools-23.0.0-py2.7.egg
d:\Anaconda2\lib\site-packages
d:\Anaconda2\lib\site-packages\win32
d:\Anaconda2\lib\site-packages\win32\lib
d:\Anaconda2\lib\site-packages\Pythonwin
d:\Anaconda2\lib\site-packages\IPython\extensions
C:\Users\yan\.ipython

In [7]:
from mpl_toolkits.basemap import Basemap

In [ ]: