Writing logs to a file in Python
This tutorial will show you how to write logs to files in Python.
Use the module in Python logging
to write logs to files
Logging is used to debug a program and find out what went wrong. logging
The log module is used to log data to a file in Python. We can use logging.basicConfig()
the log function to configure the log to be written to a specific file. By default, logging
there are 5 types of lines that we can log using the log module. These message types include debug, info, warning, error, and critical. Nonetheless, we can increase this number to any number we need through coding. The following code example shows us how to logging.basicConfig()
write logs to a file using the log function.
import logging
# Creating and Configuring Logger
Log_Format = "%(levelname)s %(asctime)s - %(message)s"
logging.basicConfig(
filename="logfile.log", filemode="w", format=Log_Format, level=logging.ERROR
)
logger = logging.getLogger()
# Testing our Logger
logger.error("Our First Log Message")
logfile.log
The file contents:
ERROR 2021-06-13 04:14:29,604 - Our First Log Message
We logging.basicConfig()
used error
the
log_log ...Our First Log Message
Log_Format
Then, we use the parameter logging.basicConfig()
of the function filename
to specify the log file. We a
assign the value of to the parameter logging.basicConfig()
of the function filemode
to append
open the file in the mode so that the previous logs are not deleted every time there is a new log. Then we format
set the parameter to Log_Format
. After that step, we logging.ERROR
assign to level
the parameter to specify the minimum level of error for the log. We logger = logging.getLogger()
create a logger object using to write the log message. Finally, we logger.error("Our First Log Message")
write the error message using .
Use the function in Python logging.FileHandler()
to write logs to files
We can also logging.FileHandler()
write logs to a file in Python using the log_handler function. This function takes the file path to which we want to write logs. We can then addHandler()
add this handler to our logger object using the log_handler function. The following code demonstrates how to logging.FileHandler()
write logs to a file using the log_handler function.
import logging
logger = logging.getLogger()
handler = logging.FileHandler("logfile.log")
logger.addHandler(handler)
logger.error("Our First Log Message")
logfile.log content:
Our First Log Message
We use the logger function in the code above logging.FileHandler()
to write log messages Our First Log Message
to a file logfile.log
. We first create a logger object, which we will use logging.getLogger()
to write logs using the logger function. Then, we create a file handler handler
and assign it to it logging.FileHandler('logfile.log')
. After that, we add logger.addHandler(handler)
this new handler
logger to our logger object using . Finally, we logger.error('Our First Log Message')
write the error message to our file using .
For reprinting, please send an email to 1244347461@qq.com for approval. After obtaining the author's consent, kindly include the source as a link.
Related Articles
If not statement in Python
Publish Date:2025/05/06 Views:123 Category:Python
-
The statement in Python if checks a specific condition and executes a block of code if the condition is true. if not The does the opposite of if the statement. It tests if a condition is false and then executes some statements. Using if not
Enumerating a dictionary in Python
Publish Date:2025/05/05 Views:98 Category:Python
-
The function in Python enumerate() returns an object of enumeration type and adds a counter variable to iterate over a list or other type of collection. It makes looping over such objects easier. When we pass an enumeration object to list()
Changing dictionary values in Python
Publish Date:2025/05/05 Views:109 Category:Python
-
This tutorial will discuss various ways to change the value of a particular key in Python dictionary. We can do this by using the following methods. dict.update() method for cycle. Dictionary Unpacking dict.update() How to change dictionary
Finding the maximum value in a Python dictionary
Publish Date:2025/05/05 Views:61 Category:Python
-
This tutorial explains how to get a key with the maximum value in Python. Since the method has changed from the previous Python versions, it also lists some sample codes to clarify the concepts. Use operator.itemgetter() the method to get t
How to read input from stdin in Python
Publish Date:2025/05/05 Views:125 Category:Python
-
This tutorial discussed stdin the methods of reading input from in Python. You can read directly from the console or from a file name specified in the console. In Python, fileinput.input() use stdin fileinput We can use the read module in P
Maximum integer in Python
Publish Date:2025/05/05 Views:55 Category:Python
-
This tutorial will discuss the maximum integer value in different versions of Python and how we can get it. In Python 2, integers and long integers are different data types. The maximum value of an integer is 2 31 -1. If the value exceeds t
Get a list of time zones using Python
Publish Date:2025/05/05 Views:108 Category:Python
-
When developing real-world applications, software developers must ensure that the application can support users from both their own country and other parts of the world. Since most countries have different time zones and many people around
Convert NumPy array to list in Python
Publish Date:2025/05/05 Views:102 Category:Python
-
Lists and arrays are the two most basic and commonly used collection objects in Python. They are both mutable and are used to store a collection of elements under a common name and each element has a specific location that can be used to ac
Appending 2D Arrays in Python
Publish Date:2025/05/05 Views:64 Category:Python
-
In Python, we can have ND arrays. We can use NumPy module to process arrays in Python. This tutorial demonstrated the different methods you can use to append values to a two-dimensional array in Python. Use append() the function to ap