One error you may encounter when using Python is:

ValueError: setting an array element with a sequence.

This error typically occurs when you attempt to cram several numbers into a single position in a NumPy array.

The following example shows how to fix this error in practice.

**How to Reproduce the Error**

Suppose we have the following NumPy array:

import numpy as np #create NumPy array data = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

Now suppose we attempt to cram two numbers into the first position of the array:

#attempt to cram values '4' and '5' both into first position of NumPy array data[0] = np.array([4,5]) ValueError: setting an array element with a sequence.

The error tells us exactly what we did wrong: We attempted to set one element in the NumPy array with a sequence of values.

In particular, we attempted to cram the values ‘4’ and ‘5’ both into the first position of the NumPy array.

This isn’t possible to do, so we receive an error.

**How to Fix the Error**

The way to fix this error is to simply assign one value into the first position of the array:

#assign the value '4' to the first position of the array data[0] = np.array([4]) #view updated array data array([ 4, 2, 3, 4, 5, 6, 7, 8, 9, 10])

Notice that we don’t receive any error.

If we actually do want to assign two new values to elements in the array, we need to use the following syntax:

#assign the values '4' and '5' to the first two positions of the array data[0:2] = np.array([4, 5]) #view updated array data array([ 4, 5, 3, 4, 5, 6, 7, 8, 9, 10])

Notice that the first two values were changed in the array while all of the other values remained the same.

**Additional Resources**

The following tutorials explain how to fix other common errors in Python:

How to Fix KeyError in Pandas

How to Fix: ValueError: cannot convert float NaN to integer

How to Fix: ValueError: operands could not be broadcast together with shapes