Explanation:
This error message is commonly encountered when using boolean conditioning in NumPy. It indicates that the condition provided to perform a boolean operation (such as indexing or filtering) is not a valid boolean ndarray. In other words, the condition should evaluate to an array of boolean values.
Here’s an example to illustrate this:
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
# Incorrect usage: passing a non-boolean condition
condition = 0 # this should be a boolean ndarray, not an integer
result = arr[condition] # raises "invalid entry 0 in condlist" error
In the above example, the error occurs because the condition assigned to condition
is an integer (0) instead of a boolean ndarray. To fix this error, the condition should be a valid boolean array:
# Correct usage: providing a boolean condition
condition = arr > 2
result = arr[condition] # Now the condition evaluates to a boolean ndarray
print(result) # Output: [3, 4, 5]
In the corrected code snippet, the condition is set to arr > 2
, which returns a boolean array containing the truth value (True) where the elements of arr
are greater than 2. As a result, result
correctly stores the elements that satisfy the condition.