Quick Answer

Decode and fix complex type mismatch scenarios.

Understanding the Issue

This TypeError variation appears when operations between incompatible types are attempted. The message shows the exact types involved, helping diagnose issues like: incorrect API return values, serialization problems, or pandas/numpy type mismatches.

The Problem

This code demonstrates the issue:

Python Error 
import numpy as np
arr = np.array([1, 2, 3])
sum = arr + "5"  # Fails

from datetime import datetime
delta = datetime.now() - "2023-01-01"  # Fails

The Solution

Here's the corrected code:

Python Fixed 
# Solution 1: Convert types explicitly
sum = arr + int("5")

# Solution 2: Use proper constructors
delta = datetime.now() - datetime.strptime("2023-01-01", "%Y-%m-%d")

Key Takeaways

Understand library-specific type requirements.