Question

我已经开始学习大熊猫了。我正在使用Jupyter笔记本。我已经导入了测试数据文件-Weather 我用熊猫读了这个文件。下面我给出了代码。当我尝试读取温度的最大值或任何其他列。我收到了以下错误。你能帮我解决一下这个问题。

import pandas as pd
df = pd.read_csv("C:\\Users\\XXXXXXX\\Downloads\\delhi-weather-data\\testset.csv")
df['hum'].max()

以下错误： -

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:
-> 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)
<ipython-input-9-fed23426605b> in <module>()
----> 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:
-> 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:
-> 1971             return self._get_item_cache(key)
   1972 
   1973         # duplicate columns & 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:
-> 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):
-> 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:
-> 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()

KeyError：'hum'** //

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

@vivekrajagopalan它的简单或许你可能在列名的末尾有空格。只需要df.columns = df.columns.str.strip（）然后再试一次 - Dark 20小时前

非常感谢你在运行命令之后df.columns = df.columns.str.strip（）

ITS工作。 DF [ '哼']。分钟（） 4 DF [ '哼']。MAX（） 243.0

非常感谢你。

关键错误 - Jupyter笔记本

KeyError：'hum'** //

0 个答案: