Errors and Exceptions

Last updated on 2024-07-11 | Edit this page

Overview

Questions

  • How does Python report errors?
  • How can I handle errors in Python programs?

Objectives

  • identify different errors and correct bugs associated with them

Every programmer encounters errors, both those who are just beginning, and those who have been programming for years. Encountering errors and exceptions can be very frustrating at times, and can make coding feel like a hopeless endeavour. However, understanding what the different types of errors are and when you are likely to encounter them can help a lot. Once you know why you get certain types of errors, they become much easier to fix.

Errors in Python have a very specific form, called a traceback. Let’s examine one:

PYTHON 

# This code has an intentional error. You can type it directly or
# use it for reference to understand the error message below.
def favorite_ice_cream():
    ice_creams = [
        'chocolate',
        'vanilla',
        'strawberry'
    ]
    print(ice_creams[3])

favorite_ice_cream()

ERROR 

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-1-70bd89baa4df> in <module>()
      9     print(ice_creams[3])
      10
----> 11 favorite_ice_cream()

<ipython-input-1-70bd89baa4df> in favorite_ice_cream()
      7         'strawberry'
      8     ]
----> 9     print(ice_creams[3])
      10
      11 favorite_ice_cream()

IndexError: list index out of range

This particular traceback has two levels. You can determine the number of levels by looking for the number of arrows on the left hand side. In this case:

  1. The first shows code from the cell above, with an arrow pointing to Line 11 (which is favorite_ice_cream()).

  2. The second shows some code in the function favorite_ice_cream, with an arrow pointing to Line 9 (which is print(ice_creams[3])).

The last level is the actual place where the error occurred. The other level(s) show what function the program executed to get to the next level down. So, in this case, the program first performed a function call to the function favorite_ice_cream. Inside this function, the program encountered an error on Line 6, when it tried to run the code print(ice_creams[3]).

Long Tracebacks

Sometimes, you might see a traceback that is very long -- sometimes they might even be 20 levels deep! This can make it seem like something horrible happened, but the length of the error message does not reflect severity, rather, it indicates that your program called many functions before it encountered the error. Most of the time, the actual place where the error occurred is at the bottom-most level, so you can skip down the traceback to the bottom.

So what error did the program actually encounter? In the last line of the traceback, Python helpfully tells us the category or type of error (in this case, it is an IndexError) and a more detailed error message (in this case, it says “list index out of range”).

If you encounter an error and don’t know what it means, it is still important to read the traceback closely. That way, if you fix the error, but encounter a new one, you can tell that the error changed. Additionally, sometimes knowing where the error occurred is enough to fix it, even if you don’t entirely understand the message.

If you do encounter an error you don’t recognize, try looking at the official documentation on errors. However, note that you may not always be able to find the error there, as it is possible to create custom errors. In that case, hopefully the custom error message is informative enough to help you figure out what went wrong. Libraries like pandas and numpy have these custom errors, but the procedure to figure them out is the same: go to the earliest line in the error, and look at the error message for it. The documentation for these libraries will often provide the information you need about any functions you are using. There are also large communities of users for data libraries that can help as well!

Reading Error Messages

Read the Python code and the resulting traceback below, and answer the following questions:

  1. How many levels does the traceback have?
  2. What is the function name where the error occurred?
  3. On which line number in this function did the error occur?
  4. What is the type of error?
  5. What is the error message?

PYTHON 

# This code has an intentional error. Do not type it directly;
# use it for reference to understand the error message below.
def print_message(day):
    messages = [
        'Hello, world!',
        'Today is Tuesday!',
        'It is the middle of the week.',
        'Today is Donnerstag in German!',
        'Last day of the week!',
        'Hooray for the weekend!',
        'Aw, the weekend is almost over.'
    ]
    print(messages[day])

def print_sunday_message():
    print_message(7)

print_sunday_message()

ERROR 

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-7-3ad455d81842> in <module>
     16     print_message(7)
     17
---> 18 print_sunday_message()
     19

<ipython-input-7-3ad455d81842> in print_sunday_message()
     14
     15 def print_sunday_message():
---> 16     print_message(7)
     17
     18 print_sunday_message()

<ipython-input-7-3ad455d81842> in print_message(day)
     11         'Aw, the weekend is almost over.'
     12     ]
---> 13     print(messages[day])
     14
     15 def print_sunday_message():

IndexError: list index out of range
  1. 3 levels
  2. print_message
  3. 13
  4. IndexError
  5. list index out of range You can then infer that 7 is not the right index to use with messages.

Better errors on newer Pythons

Newer versions of Python have improved error printouts. If you are debugging errors, it is often helpful to use the latest Python version, even if you support older versions of Python.

Type Errors

One of the most common types of errors in Python are called type errors. These errors occur when you try to perform an operation on an object in python that cannot support it. This happens easily when working with large datasets where there are expected value types like either strings or integers. When we write a function expecting integers, we will not get an error until we encounter an operation that cannot handle strings. For example:

PYTHON 


def our_function()
  my_string="Hello World"
  letter=my_string["e""]

ERROR 

  File "<ipython-input-3-6bb841ea1423>", line 3
    letter=my_string["e"]
                       ^
TypeError: string indices must be integers

We get this error because we are trying to use an index to access part of our string, which requires an integer. Instead, we entered a character and received a type error. This is fixed by replacing “e” with 2.

In the case of datasets, we often see type errors when a mathematical operation, such as taking a mean, is performed on a column that contains characters, either as a result of formatting or introduced through error. As a result, correcting the error can involve simply removing the characters from the strings using regular expressions, or if the characters have resulted in incorrect data, removing those observations from the dataset.

Syntax Errors

When you forget a colon at the end of a line, accidentally add one space too many when indenting under an if statement, or forget a parenthesis, you will encounter a syntax error. This means that Python couldn’t figure out how to read your program. This is similar to forgetting punctuation in English: for example, this text is difficult to read there is no punctuation there is also no capitalization why is this hard because you have to figure out where each sentence ends you also have to figure out where each sentence begins to some extent it might be ambiguous if there should be a sentence break or not

People can typically figure out what is meant by text with no punctuation, but people are much smarter than computers. If Python doesn’t know how to read the program, it will give up and inform you with an error. For example:

PYTHON 

def some_function()
    msg = 'hello, world!'
    print(msg)
     return msg

ERROR 

  File "<ipython-input-3-6bb841ea1423>", line 1
    def some_function()
                       ^
SyntaxError: invalid syntax

Here, Python tells us that there is a SyntaxError on line 1, and even puts a little arrow in the place where there is an issue. In this case the problem is that the function definition is missing a colon at the end.

Actually, the function above has two issues with syntax. If we fix the problem with the colon, we see that there is also an IndentationError, which means that the lines in the function definition do not all have the same indentation:

PYTHON 

def some_function():
    msg = 'hello, world!'
    print(msg)
     return msg

ERROR 

  File "<ipython-input-4-ae290e7659cb>", line 4
    return msg
    ^
IndentationError: unexpected indent

Both SyntaxError and IndentationError indicate a problem with the syntax of your program, but an IndentationError is more specific: it always means that there is a problem with how your code is indented.

Tabs and Spaces

Some indentation errors are harder to spot than others. In particular, mixing spaces and tabs can be difficult to spot because they are both whitespace. In the example below, the first two lines in the body of the function some_function are indented with tabs, while the third line — with spaces. If you’re working in a Jupyter notebook, be sure to copy and paste this example rather than trying to type it in manually because Jupyter automatically replaces tabs with spaces.

PYTHON 

def some_function():
	msg = 'hello, world!'
	print(msg)
        return msg

Visually it is impossible to spot the error. Fortunately, Python does not allow you to mix tabs and spaces.

ERROR 

  File "<ipython-input-5-653b36fbcd41>", line 4
    return msg
              ^
TabError: inconsistent use of tabs and spaces in indentation

Variable Name Errors

Another very common type of error is called a NameError, and occurs when you try to use a variable that does not exist. For example:

PYTHON 

print(a)

ERROR 

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-7-9d7b17ad5387> in <module>()
----> 1 print(a)

NameError: name 'a' is not defined

Variable name errors come with some of the most informative error messages, which are usually of the form “name ‘the_variable_name’ is not defined”.

Why does this error message occur? That’s a harder question to answer, because it depends on what your code is supposed to do. However, there are a few very common reasons why you might have an undefined variable. The first is that you meant to use a string, but forgot to put quotes around it:

PYTHON 

print(hello)

ERROR 

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-8-9553ee03b645> in <module>()
----> 1 print(hello)

NameError: name 'hello' is not defined

The second reason is that you might be trying to use a variable that does not yet exist. In the following example, count should have been defined (e.g., with count = 0) before the for loop:

PYTHON 

for number in range(10):
    count = count + number
print('The count is:', count)

ERROR 

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-9-dd6a12d7ca5c> in <module>()
      1 for number in range(10):
----> 2     count = count + number
      3 print('The count is:', count)

NameError: name 'count' is not defined

Finally, the third possibility is that you made a typo when you were writing your code. Let’s say we fixed the error above by adding the line Count = 0 before the for loop. Frustratingly, this actually does not fix the error. Remember that variables are case-sensitive, so the variable count is different from Count. We still get the same error, because we still have not defined count:

PYTHON 

Count = 0
for number in range(10):
    count = count + number
print('The count is:', count)

ERROR 

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-10-d77d40059aea> in <module>()
      1 Count = 0
      2 for number in range(10):
----> 3     count = count + number
      4 print('The count is:', count)

NameError: name 'count' is not defined

Index Errors

Next up are errors having to do with containers (like lists and strings) and the items within them. If you try to access an item in a list or a string that does not exist, then you will get an error. This makes sense: if you asked someone what day they would like to get coffee, and they answered “caturday”, you might be a bit annoyed. Python gets similarly annoyed if you try to ask it for an item that doesn’t exist:

PYTHON 

letters = ['a', 'b', 'c']
print('Letter #1 is', letters[0])
print('Letter #2 is', letters[1])
print('Letter #3 is', letters[2])
print('Letter #4 is', letters[3])

OUTPUT 

Letter #1 is a
Letter #2 is b
Letter #3 is c

ERROR 

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-11-d817f55b7d6c> in <module>()
      3 print('Letter #2 is', letters[1])
      4 print('Letter #3 is', letters[2])
----> 5 print('Letter #4 is', letters[3])

IndexError: list index out of range

Here, Python is telling us that there is an IndexError in our code, meaning we tried to access a list index that did not exist.

File Errors

The last type of error we’ll cover today are the most common type of error when using Python with data, those associated with reading and writing files: FileNotFoundError. If you try to read a file that does not exist, you will receive a FileNotFoundError telling you so. If you attempt to write to a file that was opened read-only, Python 3 returns an UnsupportedOperationError. More generally, problems with input and output manifest as OSErrors, which may show up as a more specific subclass; you can see the list in the Python docs. They all have a unique UNIX errno, which is you can see in the error message.

PYTHON 

file_handle = open('myfile.txt', 'r')

ERROR 

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-14-f6e1ac4aee96> in <module>()
----> 1 file_handle = open('myfile.txt', 'r')

FileNotFoundError: [Errno 2] No such file or directory: 'myfile.txt'

One reason for receiving this error is that you specified an incorrect path to the file. For example, if I am currently in a folder called myproject, and I have a file in myproject/writing/myfile.txt, but I try to open myfile.txt, this will fail. The correct path would be writing/myfile.txt. It is also possible that the file name or its path contains a typo. There may also be specific settings based on your organization if you are using shared, networked, or cloud-based drives. It is best to check with your IT administrators if you are still encountering issues reading in a file after troubleshooting.

A related issue can occur if you use the “read” flag instead of the “write” flag. Python will not give you an error if you try to open a file for writing when the file does not exist. However, if you meant to open a file for reading, but accidentally opened it for writing, and then try to read from it, you will get an UnsupportedOperation error telling you that the file was not opened for reading:

PYTHON 

file_handle = open('myfile.txt', 'w')
file_handle.read()

ERROR 

---------------------------------------------------------------------------
UnsupportedOperation                      Traceback (most recent call last)
<ipython-input-15-b846479bc61f> in <module>()
      1 file_handle = open('myfile.txt', 'w')
----> 2 file_handle.read()

UnsupportedOperation: not readable

If you are getting a read or write error on file or folder that you are able to open and/or edit with other programs, you may need to contact an IT administrator to check the permissions granted to you and any programs you are using.

These are the most common errors with files, though many others exist. If you get an error that you’ve never seen before, searching the Internet for that error type often reveals common reasons why you might get that error.

Identifying Syntax Errors

  1. Read the code below, and (without running it) try to identify what the errors are.
  2. Run the code, and read the error message. Is it a SyntaxError or an IndentationError?
  3. Fix the error.
  4. Repeat steps 2 and 3, until you have fixed all the errors.

PYTHON 

def another_function
  print('Syntax errors are annoying.')
   print('But at least Python tells us about them!')
  print('So they are usually not too hard to fix.')

SyntaxError for missing (): at end of first line, IndentationError for mismatch between second and third lines. A fixed version is:

PYTHON 

def another_function():
    print('Syntax errors are annoying.')
    print('But at least Python tells us about them!')
    print('So they are usually not too hard to fix.')

Identifying Variable Name Errors

  1. Read the code below, and (without running it) try to identify what the errors are.
  2. Run the code, and read the error message. What type of NameError do you think this is? In other words, is it a string with no quotes, a misspelled variable, or a variable that should have been defined but was not?
  3. Fix the error.
  4. Repeat steps 2 and 3, until you have fixed all the errors.

PYTHON 

for number in range(10):
    # use a if the number is a multiple of 3, otherwise use b
    if (Number % 3) == 0:
        message = message + a
    else:
        message = message + 'b'
print(message)

3 NameErrors for number being misspelled, for message not defined, and for a not being in quotes.

Fixed version:

PYTHON 

message = ''
for number in range(10):
    # use a if the number is a multiple of 3, otherwise use b
    if (number % 3) == 0:
        message = message + 'a'
    else:
        message = message + 'b'
print(message)

Identifying Index Errors

  1. Read the code below, and (without running it) try to identify what the errors are.
  2. Run the code, and read the error message. What type of error is it?
  3. Fix the error.

PYTHON 

seasons = ['Spring', 'Summer', 'Fall', 'Winter']
print('My favorite season is ', seasons[4])

IndexError; the last entry is seasons[3], so seasons[4] doesn’t make sense. A fixed version is:

PYTHON 

seasons = ['Spring', 'Summer', 'Fall', 'Winter']
print('My favorite season is ', seasons[-1])

A Final Note About Correcting Errors

There are a lot of very helpful answers for many error messages, however when working with official statistics, we need to also exercise some caution. Be aware and be wary of any answers that ask you to download a package from someone’s personal GitHub repository or other file sharing service. Try to find the type of error first and understand what the issue is before downloading anything claiming to fix the error. If the error is the result of an issue with a version of a package, check if there are any security vulnerabilities with that version, and use a package manager to move between package versions.

Key Points

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