Solution for NumPy RuntimeWarning: Mean of empty slice in Python
Below, are the approaches to solve NumPy RuntimeWarning: Mean of empty slice in Python:
- Check for empty arrays
- Correcting indexing
Check For Empty array
In this example, below code creates an empty NumPy array, checks if it’s non-empty before calculating the mean of a slice, and prints the mean if there are elements, or a message stating that the array is empty if it is indeed empty.
Python3
import numpy as np empty_array = np.array([]) # Checking for empty array before calculating the mean if len (empty_array) > 0 : mean_value = np.mean(empty_array[ 1 : 3 ]) print ( "Mean:" , mean_value) else : print ( "Array is empty." ) |
Output
Array is empty.
Correct Indexing
In this example, below code creates a NumPy array with a single element and correctly calculates the mean of the array using appropriate indexing to avoid accessing elements beyond the array bounds.
Python3
import numpy as np single_element_array = np.array([ 42 ]) # Correcting indexing to prevent accessing elements beyond array bounds mean_value = np.mean(single_element_array[: 1 ]) print ( "Mean:" , mean_value) |
Output
Mean: 42.0
NumPy RuntimeWarning: Mean of empty slice in Python
Here, we will see how to fix “Numpy Runtimewarning: Mean Of Empty Slice” in Python. In this article, we will see the reasons for it’s occurrence and also the solution of NumPy RuntimeWarning: Mean of empty slice in Python.
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