Tag Archives: The truth value of a Series is ambiguous error

[How to Fix]The truth value of a series is ambiguous

The truth value of a series is ambiguous

It is estimated that you are using pandas when this problem occurs. If so, congratulations on finding a solution. Ha ha~

#General Purpose Example

FI_lasso[(FI_lasso["columns"]<0.001) and (FI_lasso["columns"]>=0)]

If you also encounter such a problem, Congratulations, the solution is very simple

The core meaning is to use & amp; instead of and or
for logical judgment in dataframe|

Like this


FI_lasso[(FI_lasso["columns"]<0.001) & (FI_lasso["columns"]>=0)]

Solve the problem and leave~

When performing data comparison, pandas reports an error:

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

The selected truth value is not clear, that is, the given value and the comparison value are of different types.

It should be a problem caused by comparing and matching a value with multiple values or values in a list

You can use one of its recommended methods before comparing

1）a.empty

if(a.empty):

    print("!!")

Judge whether a is empty

2）a.item()

a. Item (I) represents the ith node

3）a.any()

if(a.any() in [1,2,3,4]):

print("!!")

Judge whether any value in a is in [1,2,3,4]

4）a.all()

if(a.all() in [1,2,3,4]):
    print("!!")

Judge whether all the values in a are in [1,2,3,4]