ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
# mfbaseinfo_org[mfbaseinfo_org['prod_code']=='008345'] exc_chfsec['prod_begin_date'] = pd.to_dat ...
原文：ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
https: blog.csdn.net ztf article details 報錯原因： Numpy對邏輯表達式判別不清楚，它可以返回False如果等號兩邊兩個式子是數值相等，也可以返回True因為等號兩邊兩個式子是邏輯相等。它覺得這是模棱兩可的，因此放棄做判斷，統一用a.any 進行或比較，或a.all 進行與比較。 ...
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解決問題：ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
報錯： ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). 意思是你的數組真實值不明確，出現問題代碼 ...
python pandas進行條件篩選時出現ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().”
: The truth value of a Series is ambiguous. Use a.empt ...
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any()
在使用pandas判斷數據時出現錯誤提示： ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). 個人理解：這是因為，你將一個值與多個 ...
python中a.any()和a.all()函數的用法
a.any()==0語句是判斷陣列中的所有元素是否都為0，當全部為0是，返回真，當有元素不為0時，返回假 a.all()==0語句是判斷陣列中是否存在為0的元素，當存在0元素時，返回真，當所有元素都不為0，返回假 ...
ValueError:Expected more than 1 value per channel when training, got input size torch.Size([1, 512, 1, 1])
當batch里只有一個樣本時，再調用batch_norm就會報下面這個錯誤： ValueError:Expected more than 1 value per channel when training, got input size torch.Size([1, 512 ...
python web.py出現ValueError: need more than 1 value to unpack
web.py運行代碼時出現 Traceback (most recent call last): File "/usr/local/lib/python2.7/dist-packages/web/ ...
error: L6235E: More than one section matches selector - cannot all be FIRST/LAST.
編譯環境：RVMDK CPU ：STM32F103VC 錯誤：.\obj\movSERVO.sct(7): error: L6235E: More than one section matches selector - cannot all be FIRST/LAST. 原因：項目中同時包含 ...