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[英]Python TypeError: an integer is required (got type tuple) - (OpenCV / Numpy)
[英]Numpy TypeError: an integer is required
這也許是個非常個人的問題,但我不知道該問誰,我希望有人能提供幫助,不要跳過我! 我已經使用Anaconda和Jupyter Notebook安裝了python。 我有2個csv文件數據。
products.head()
ID_FUPID FUPID
0 1 674563
1 2 674597
2 3 674606
3 4 694776
4 5 694788
產品包含產品ID和產品編號。
ratings.head()
ID_CUSTOMER ID_FUPID RATING
0 1 216 1
1 2 390 1
2 3 851 5
3 4 5897 1
4 5 9341 1
評級包含客戶的ID,產品ID和客戶給予產品的評級。 我創建表為:
M = ratings.pivot_table(index=['ID_CUSTOMER'],columns=['ID_FUPID'],values='RATING')
正確顯示矩陣中的數據,其中productID =列,customerID為行。
我想計算產品之間的皮爾遜協作,所以這是皮爾遜函數:
def pearson(s1, s2):
import numpy as np
"""take two pd.series objects and return a pearson correlation"""
s1_c = s1 - s1.mean()
s2_c = s2 - s2.mean()
return np.sum(s1_c * s2_c) / np.sqrt(np.sum(s1_c ** 2) * np.sum(s2_c ** 2))
當我嘗試計算pearson(M ['17'],M ['21'])時 ,出現以下錯誤:
TypeError Traceback (most recent call last)
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
TypeError: an integer is required
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
~\AppData\Local\Continuum\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()
KeyError: '17'
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
TypeError: an integer is required
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
<ipython-input-277-d4ead225b6ab> in <module>()
----> 1 pearson(M['17'], M['21'])
~\AppData\Local\Continuum\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):
~\AppData\Local\Continuum\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
~\AppData\Local\Continuum\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
~\AppData\Local\Continuum\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)]
~\AppData\Local\Continuum\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()
KeyError: '17'
我將非常感謝您的幫助! 太感謝了。
錯誤消息中有兩個地方,帶有以下行:
KeyError: '17'
這表明M
沒有鍵'17'
。 這可能是因為您的索引是整數。 但是,您正在訪問的數據幀M
有一個字符串。 調用pearson
的代碼可能如下:
pearson(M[17], M[21])
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