title: Key Error - Jupyter Notebook
body: <p>I have started to learn pandas.
  I am using Jupyter notebook.
  I have imported the test data file -Weather 
  I read the file using panda.
  Below i have given the code. 
  While I try to read max value of temperature or any other column.
  I am getting below error. 
  Can you please help me to solve the issue.</p>
  
  <pre><code>import pandas as pd
  df = pd.read_csv("C:\\Users\\XXXXXXX\\Downloads\\delhi-weather-data\\testset.csv")
  df['hum'].max()
  </code></pre>
  
  <p>Error below:-</p>
  
  <pre><code>KeyError                                  Traceback (most recent call last)
  //**C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
     2441             try:
  -&gt; 2442                 return self._engine.get_loc(key)
     2443             except KeyError:
              pandas\_libs\index.pyx in     pandas._libs.index.IndexEngine.get_loc()
              pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
              pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
              pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
  KeyError: 'hum'
  During handling of the above exception, another exception occurred:
  KeyError                                  Traceback (most recent call last)
  &lt;ipython-input-9-fed23426605b&gt; in &lt;module&gt;()
  ----&gt; 1 df['hum'].max()
  C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
     1962             return self._getitem_multilevel(key)
     1963         else:
  -&gt; 1964             return self._getitem_column(key)
     1965 
     1966     def _getitem_column(self, key):
  C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\frame.py in _getitem_column(self, key)
     1969         # get column
     1970         if self.columns.is_unique:
  -&gt; 1971             return self._get_item_cache(key)
     1972 
     1973         # duplicate columns &amp; possible reduce dimensionality
  C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py in _get_item_cache(self, item)
     1643         res = cache.get(item)
     1644         if res is None:
  -&gt; 1645             values = self._data.get(item)
     1646             res = self._box_item_values(item, values)
     1647             cache[item] = res
  C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\internals.py in get(self, item, fastpath)
     3588 
     3589             if not isnull(item):
  -&gt; 3590                 loc = self.items.get_loc(item)
     3591             else:
     3592                 indexer = np.arange(len(self.items))[isnull(self.items)]
  C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
     2442                 return self._engine.get_loc(key)
     2443             except KeyError:
  -&gt; 2444                 return self._engine.get_loc(self._maybe_cast_indexer(key))
     2445 
     2446         indexer = self.get_indexer([key], method=method, tolerance=tolerance)
  
  
         pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
            pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
            pandas\_libs\hashtable_class_helper.pxi in     pandas._libs.hashtable.PyObjectHashTable.get_item()
            pandas\_libs\hashtable_class_helper.pxi in   pandas._libs.hashtable.PyObjectHashTable.get_item()
  </code></pre>
  
  <h2>    KeyError: 'hum'**//</h2>
  
  <pre><code>df.head()
  
  
  
  datetime_utc    conds   dewptm  fog     hail    heatindexm  hum     precipm     pressurem   rain    snow    tempm   thunder     tornado     vism    wdird   wdire   wgustm  windchillm  wspdm
  0   19961101-11:00  Smoke   9.0     0   0   NaN     27.0    NaN     1010.0  0   0   30.0    0   0   5.0     280.0   West    NaN     NaN     7.4
  1   19961101-12:00  Smoke   10.0    0   0   NaN     32.0    NaN     -9999.0     0   0   28.0    0   0   NaN     0.0     North   NaN     NaN     NaN
  2   19961101-13:00  Smoke   11.0    0   0   NaN     44.0    NaN     -9999.0     0   0   24.0    0   0   NaN     0.0     North   NaN     NaN     NaN
  3
  </code></pre>
  
  <hr>
  
  <p>@vivekrajagopalan its simple perhaps you might have spaces at the ends in your column names . Just do df.columns = df.columns.str.strip() then try again – Dark 20 hours ago </p>
  
  <hr>
  
  <p>Thank you so much
  AFTER RUNNING THE COMMAND df.columns = df.columns.str.strip()</p>
  
  <p>ITS WORKING.
  df['hum'].min()
  4.0
  df['hum'].max()
  243.0</p>
  
  <p>Thank you so much.</p>