Understanding conversion errors in Python is crucial to writing robust code and handling situations where data does not meet expectations. Conversion errors occur when we try to convert one data type to another and a problem arises. Here is a guide to understanding and handling these errors:
ValueError:It occurs when the data type is correct, but the value cannot be interpreted.
try:
num = int("abc")
except ValueError as e:
print(f"Error: {e}")
TypeError:
try:
result = "10" + 5
except TypeError as e:
print(f"Error: {e}")
It uses try and except blocks to handle conversion errors elegantly.
try:
num = int(input("Ingrese un número: "))
print(f"El doble del número es {num * 2}")
except ValueError:
print("Por favor, ingrese un número válido.")
Before converting, validate user input to avoid errors.
user_input = input("Ingrese un número entero: ")
if user_input.isdigit():
num = int(user_input)
print(f"El cuadrado del número es {num**2}")
else:
print("Por favor, ingrese un número entero válido.")
Use conversion-safe features when possible.
def convert_to_int(value):
try:
return int(value)
except ValueError:
return None
result = convert_to_int("123")
if result is not None:
print(f"La conversión fue exitosa: {result}")
else:
print("No se pudo convertir a entero.")
Provides informative error messages to facilitate debugging.
try:
num = int("abc")
except ValueError as e:
print(f"Error de conversión: {e}")