- The try block lets you test a block of code for errors.
- The except block lets you handle the error.
- The else block lets you execute code when there is no error.
- The finally block lets you execute code, regardless of the result of the try- and except blocks.
The try block will generate an error, because x is not defined:
try: print(x) except: print("An exception occurred")
Print one message if the try block raises a
NameError and another for other errors:
try: print(x) except NameError: print("Variable x is not defined") except: print("Something else went wrong")
You can use the
else keyword to define a block of code to be executed if no errors were raised:
try: print("Hello") except: print("Something went wrong") else: print("Nothing went wrong")
finally block, if specified, will be executed regardless if the try block raises an error or not.
try: print(x) except: print("Something went wrong") finally: print("The 'try except' is finished")
- apache spark – implement FileNotFound exception in databricks using pyspark – Stack Overflow
- python – How can I ignore all java.io exception? – Stack Overflow – อันนี้ยังไม่ได้ลอง
def read_file(path): try: dbutils.fs.ls(path) return spark.read.option("inferschema","true").csv(path) except Exception as e: if 'java.io.FileNotFoundException' in str(e): print('File does not exists') else: print('Other error') read_file('mnt/pnt/abc.csv')
Raise an exception
- Manually raising (throwing) an exception in Python – Stack Overflow
- 8. Errors and Exceptions — Python 3.11.1 documentation
As a Python developer you can choose to throw an exception if a condition occurs.
To throw (or raise) an exception, use the
Raise an error and stop the program if x is lower than 0:
x = -1 if x < 0: raise Exception("Sorry, no numbers below zero")
Raise a TypeError if x is not an integer:
x = "hello" if not type(x) is int: raise TypeError("Only integers are allowed")