ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

Coding
1

Hi this issue is from python for data science in machine learning concept , i have a two data frames one data frame contains float and int values another data frame contains scipy sparse matrices ,now i want to merge this two data frames by using scipy hstack
i tried like this
" hstack((train_df,tfidf_train_data))’’
Here tfidf_train_data is sparce matrices but i got error like below
“ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()”
can anyone help me out of this

2

That looks like a query for StackOverflow rather than the PsychoPy forum

3

This error message is telling you that the boolean value of the entire array is unclear because it has multiple elements.

To resolve this ambiguity, NumPy provides two methods that can be used to determine the truth value of an array with multiple elements: a.any() and a.all().

  • a.any() : returns True if at least one element in the array a is True.
  • a.all() : returns True only if all the elements in the array a are True.

So, instead of using the array itself as a condition, you should use one of these methods to determine its truth value.