In [1]:

    

%matplotlib inline
import numpy as np
import pandas as pd
from scipy import stats, integrate
import matplotlib.pyplot as plt

import seaborn as sns

sns.set(color_codes=True)
sns.set_style("whitegrid")


    

In [11]:

    

head = ["ip-agent","a", "b","c","timestamp","url","refer","code","status","agent","ip","cookie","time"]
access = pd.read_csv('/Users/page/data/159_access_d_20160901.log',sep='\t', header=None, names=head)


    

    




/usr/local/lib/python3.5/site-packages/IPython/core/interactiveshell.py:2717: DtypeWarning: Columns (4) have mixed types. Specify dtype option on import or set low_memory=False.
  interactivity=interactivity, compiler=compiler, result=result)

In [12]:

    

access.head()


    

    
Out[12]:






  

    

      

      
ip-agent
      
a
      
b
      
c
      
timestamp
      
url
      
refer
      
code
      
status
      
agent
      
ip
      
cookie
      
time
    
  
  

    

      
0
      
10.90.1.182
      
-
      
-
      
-
      
1472659202490
      
http://auto.ifeng.com/guangzhou/tuangou/2016/0...
      
http://www.ifeng.com/
      
200.0
      
43.0
      
Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKi...
      
113.74.111.166
      
1448538609809_tidue95116
      
1472659199606
    
    

      
1
      
10.90.1.193
      
-
      
-
      
-
      
1472659203901
      
http://auto.ifeng.com/changchun/daogou/2016/08...
      
http://www.ifeng.com/
      
200.0
      
43.0
      
Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.3...
      
117.174.26.230
      
1406908003515_ftnuvn1818
      
1472659082403
    
    

      
2
      
10.90.1.188
      
CN141000
      
1608161948405984
      
-
      
1472659203115
      
http://auto.ifeng.com/taiyuan/jiangjia/2016/08...
      
http://www.ifeng.com/
      
200.0
      
43.0
      
Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.3...
      
60.221.114.81
      
1466610361287_pie7i6544
      
1472659576990
    
    

      
3
      
10.90.1.188
      
-
      
-
      
-
      
1472659205560
      
http://auto.ifeng.com/beijing/jiangjia/2016/03...
      
http://auto.ifeng.com/beijing/jiangjia/2016/03...
      
200.0
      
43.0
      
Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.3...
      
39.84.12.62
      
1465905016149_yr6nb75899
      
1472659336796
    
    

      
4
      
10.90.1.188
      
-
      
-
      
-
      
1472659206814
      
http://auto.ifeng.com/changchun/daogou/2016/08...
      
http://auto.ifeng.com/changchun/daogou/2016/08...
      
200.0
      
43.0
      
Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKi...
      
122.188.13.45
      
1436240220421_r87y6k4127
      
1472659124800
    
  

In [17]:

    

access.hist("refer")


    

    




---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-17-6a7c1522e6f5> in <module>()
----> 1 access.hist("refer")

/usr/local/lib/python3.5/site-packages/pandas/tools/plotting.py in hist_frame(data, column, by, grid, xlabelsize, xrot, ylabelsize, yrot, ax, sharex, sharey, figsize, layout, bins, **kwds)
   2919     fig, axes = _subplots(naxes=naxes, ax=ax, squeeze=False,
   2920                           sharex=sharex, sharey=sharey, figsize=figsize,
-> 2921                           layout=layout)
   2922     _axes = _flatten(axes)
   2923 

/usr/local/lib/python3.5/site-packages/pandas/tools/plotting.py in _subplots(naxes, sharex, sharey, squeeze, subplot_kw, ax, layout, layout_type, **fig_kw)
   3412 
   3413     # Create first subplot separately, so we can share it if requested
-> 3414     ax0 = fig.add_subplot(nrows, ncols, 1, **subplot_kw)
   3415 
   3416     if sharex:

/usr/local/lib/python3.5/site-packages/matplotlib/figure.py in add_subplot(self, *args, **kwargs)
   1018                     self._axstack.remove(ax)
   1019 
-> 1020             a = subplot_class_factory(projection_class)(self, *args, **kwargs)
   1021 
   1022         self._axstack.add(key, a)

/usr/local/lib/python3.5/site-packages/matplotlib/axes/_subplots.py in __init__(self, fig, *args, **kwargs)
     62                     raise ValueError(
     63                         "num must be 1 <= num <= {maxn}, not {num}".format(
---> 64                             maxn=rows*cols, num=num))
     65                 self._subplotspec = GridSpec(rows, cols)[int(num) - 1]
     66                 # num - 1 for converting from MATLAB to python indexing

ValueError: num must be 1 <= num <= 0, not 1





    






<matplotlib.figure.Figure at 0x11607f0b8>

In [ ]: