title: 'DataFrame' object has no attribute 'value_counts'
body: <p>My dataset is a DataFrame of dimension (840,84). When I write the code:
  <code>ds[ds.columns[1]].value_counts()</code><br>
  I get a correct output:</p>
  
  <pre><code>Out[82]:
  0    847
  1      5
  Name: o_East, dtype: int64
  </code></pre>
  
  <p>But when I write a loop to store values, I get <em>'DataFrame' object has no attribute 'value_counts'</em>. I can't explain why ... </p>
  
  <pre><code>wind_vec = []
  wind_vec = [(ds[x].value_counts()) for x in ds.columns]
  </code></pre>
  
  <p><strong>UPDATE FOR THE CODE</strong></p>
  
  <pre><code>import pandas as pd
  import numpy as np
  import numpy.ma as ma
  import statsmodels.api as sm
  import matplotlib
  import matplotlib.pyplot as plt
  from sklearn.preprocessing import OneHotEncoder
  
  dataset = pd.read_csv('data/dataset.csv')
  
  ds = dataset
  
  o_wdire = pd.get_dummies(ds['o_wdire'])
  s_wdire = pd.get_dummies(ds['s_wdire'])
  t_wdire = pd.get_dummies(ds['t_wdire'])
  k_wdire = pd.get_dummies(ds['k_wdire'])
  b_wdire = pd.get_dummies(ds['b_wdire'])
  
  o_wdire.rename(columns={'ENE': 'o_ENE','ESE': 'o_ESE', 'East': 'o_East', 'NE': 'o_NE', 'NNE': 'o_NNE', 'NNW': 'o_NNW', \
                       'NW': 'o_NW', 'North': 'o_North', 'SE': 'o_SE', 'SSE': 'o_SSE', 'SSW': 'o_SSW', 'SW': 'o_SW', \
                       'South': 'o_South', 'Variable': 'o_Variable', 'WSW': 'o_WSW','West':'o_West'}, inplace=True)
  s_wdire.rename(columns={'ENE': 's_ENE','ESE': 's_ESE', 'East': 's_East', 'NE': 's_NE', 'NNE': 's_NNE', 'NNW': 's_NNW', \
                       'NW': 's_NW', 'North': 's_North', 'SE': 's_SE', 'SSE': 's_SSE', 'SSW': 's_SSW', 'SW': 's_SW', \
                       'South': 's_South', 'Variable': 's_Variable', 'West': 's_West','WSW': 's_WSW'}, inplace=True)
  k_wdire.rename(columns={'ENE': 'k_ENE','ESE': 'k_ESE', 'East': 'k_East', 'NE': 'k_NE', 'NNE': 'k_NNE', 'NNW': 'k_NNW', \
                       'NW': 'k_NW', 'North': 'k_North', 'SE': 'k_SE', 'SSE': 'k_SSE', 'SSW': 'k_SSW', 'SW': 'k_SW', \
                       'South': 'k_South', 'Variable': 'k_Variable', 'WNW': 'k_WNW', 'West': 'k_West','WSW': 'k_WSW'}, inplace=True)
  b_wdire.rename(columns={'ENE': 'b_ENE','ESE': 'b_ESE', 'East': 'b_East', 'NE': 'b_NE', 'NNE': 'b_NNE', 'NNW': 'b_NNW', \
                       'NW': 'b_NW', 'North': 'b_North', 'SE': 'b_SE', 'SSE': 'b_SSE', 'SSW': 'b_SSW', 'SW': 'b_SW', \
                       'South': 'b_South', 'Variable': 'b_Variable', 'WSW': 'b_WSW', 'WNW': 'b_WNW', 'West': 'b_West'}, inplace=True)
  t_wdire.rename(columns={'ENE': 't_ENE','ESE': 't_ESE', 'East': 't_East', 'NE': 't_NE', 'NNE': 't_NNE', 'NNW': 't_NNW', \
                       'NW': 't_NW', 'North': 't_North', 'SE': 't_SE', 'SSE': 't_SSE', 'SSW': 't_SSW', 'SW': 't_SW', \
                       'South': 't_South', 'Variable': 't_Variable', 'WSW': 't_WSW', 'WNW': 't_WNW', 'West':'t_West'}, inplace=True)
  
  #WIND
  ds_wdire = pd.DataFrame(pd.concat([o_wdire,s_wdire,t_wdire,k_wdire,b_wdire],axis=1))
  ds_wdire = ds_wdire.astype('float64')
  
  In [93]: ds_wdire.shape
  Out[93]: (852, 84)
  
  In[101]: ds_wdire[ds_wdire.columns[0]].head()
  Out[101]:   
  0    0
  1    0
  2    0
  3    0
  4    0
  Name: o_ENE, dtype: float64
  
  In[103]: ds_wdire[ds_wdire.columns[0]].value_counts()
  Out[103]:
  
  0    838
  1     14
  Name: o_ENE, dtype: int64
  
  
  In[104]: [ds_wdire[x].value_counts() for x in ds_wdire.columns]
  ---------------------------------------------------------------------------
  AttributeError                            Traceback (most recent call last)
  &lt;ipython-input-104-d9756c468818&gt; in &lt;module&gt;()
        1 #Filtering for the wind direction based on the most frequent ones.
  ----&gt; 2 [ds_wdire[x].value_counts() for x in ds_wdire.columns]
  
  &lt;ipython-input-104-d9756c468818&gt; in &lt;listcomp&gt;(.0)
        1 #Filtering for the wind direction based on the most frequent ones.
  ----&gt; 2 [ds_wdire[x].value_counts() for x in ds_wdire.columns]
  
  /home/florian/anaconda3/lib/python3.5/site-packages/pandas/core/generic.py in __getattr__(self, name)
     2358                 return self[name]
     2359             raise AttributeError("'%s' object has no attribute '%s'" %
  -&gt; 2360                                  (type(self).__name__, name))
     2361 
     2362     def __setattr__(self, name, value):
  
  AttributeError: 'DataFrame' object has no attribute 'value_counts'
  </code></pre>