[英]Python Dataframe Filtering with Conditions
My input dataframe;我的输入 dataframe;
Stock PO Order_test Order
50 50 10 0
50 20 10 7
10 5 3 3
100 80 5 4
I want to filter the with this code;我想用这段代码过滤;
a= df[(df['Stock'] - df['PO'])>(df['Order_Test']) & (df['Order_Test'])>(df['Order'])]
a= df[(df['Stock'] - df['PO'])>(df['Order_Test']) & (df['Order_Test'])>(df['Order'])]
But i got this;但我得到了这个;
ValueError: The truth value of a Series is ambiguous.
ValueError:Series 的真值不明确。 Use a.empty, a.bool(), a.item(), a.any() or a.all().
使用 a.empty、a.bool()、a.item()、a.any() 或 a.all()。
Desired output is;所需的 output 是;
Stock PO Order_test Order
50 20 10 7
100 80 5 4
Could you please help me about this?你能帮我解决这个问题吗?
You are close, only remove some ()
for enclose both conditions:你很接近,只删除一些
()
来包含两个条件:
df = df[(df['Stock'] - df['PO']>df['Order_test']) & (df['Order_test']>df['Order'])]
^ ^ ^ ^
start end start end
print (df)
Stock PO Order_test Order
1 50 20 10 7
3 100 80 5 4
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.