The Python standard library offers developers an easy toolkit for getting associated file data. Getting the size of a file in Python is easily done via the OS module’s stat method. Here we’ll take a quick look at this method, how it’s used, and what one needs to be aware of.<\/p>\n
To get started with the Python makes getting the size of a file incredibly easy. There are two primary ways to achieve this with standard library methods\u2014both of which use the os module. The first method relies on the The getsize() method\u00a0<\/a>takes a path-like object (string, in the example below) as an argument. This method will return an integer value representing the size of the file. We can implement this as shown in the code below:<\/p>\n The os.stat module provides a st_size attribute that informs the developer of the size of a file, again in bytes. This is achieved, referencing the previously-created sample file, in the following single line of code:<\/p>\n So now we know that our file is of size 3328\u2014but what exactly<\/em> does that tell us? It certainly isn’t 3328 characters\u2014our file had only 3072. The Checking a file’s size in bytes is useful in some cases. Other times, units like kilobytes (kb) or megabytes (MB) are preferred. Fortunately, knowing that 1024 bytes make a kilobyte and that 1024 kilobytes make a megabyte<\/a>, we can do some easy conversions:<\/p>\n The For Windows users, the Getting the size of a file in Python is critical to many I\/O operations. Among the many uses, knowing the size of files can also be used to help track progress during operations such as downloads, uploads, or writing to disk. Both the The Python standard library offers developers an easy toolkit for getting associated file data. Getting the size of a file in Python is easily done via the OS module’s stat method. Here we’ll take a quick look at this method, how it’s used, and what one needs to be aware of. Creating a Sample Text […]<\/p>\n","protected":false},"author":2,"featured_media":2423,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[655,10],"tags":[161,143],"acf":[],"_links":{"self":[{"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/posts\/2421"}],"collection":[{"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/comments?post=2421"}],"version-history":[{"count":2,"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/posts\/2421\/revisions"}],"predecessor-version":[{"id":2424,"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/posts\/2421\/revisions\/2424"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/media\/2423"}],"wp:attachment":[{"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/media?parent=2421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/categories?post=2421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.alpharithms.com\/wp-json\/wp\/v2\/tags?post=2421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}os.stat()<\/code> method, let’s create a sample file to work within the current working directory. This way, we’ll be on the same page as we work through getting the size of a file using the os module. The following code will create a text file named sample.txt with the word alpharithms written 256 times separated by the \\n<\/code> newline character:<\/p>\n# Create a sample file in the local working directory\r\nwith open('sample.txt', 'w')as file:\r\n file.write(\"alpharithms\\n\" * 256)\r\n\r\n# Results in sample.txt\r\nalpharithms\r\nalpharithms\r\nalpharithms\r\n...\r\nalpharithms <------ 256th line<\/pre>\nos.path<\/code> module and the second on the os.stat<\/code> module. The stat module provides more detailed information<\/strong> but the os.path.getsize()<\/code> method is more concise<\/strong>. Let’s take a look at how to get file size in Python using both.<\/p>\nos.path.getsize()<\/h2>\n
# Get the size of the file \r\nsize = os.path.getsize(\"sample.txt\")\r\n\r\n>>> size\r\n\r\n3328<\/pre>\n
os.stat()<\/h2>\n
# Get the size of the file\r\nsize = os.stat(\"sample.txt\").st_size\r\n\r\n>>> size\r\n\r\n3328<\/pre>\n
Converting Bytes into Kilobytes & Megabytes<\/h2>\n
.st_size<\/code> attribute of an os.stat()<\/code> object returns the file size in bytes<\/em>.<\/p>\n# Get the size of the file\r\nsize = os.stat(\"sample.txt\").st_size\r\n\r\n# Convert to familiar units\r\nkb = size \/ 1024\r\nmb = size \/ 1024 \/ 1024\r\n\r\n# print the results to the console\r\nprint(\"size in kb:\", kb)\r\nprint(\"size in mb:\", MB)\r\n\r\n# results\r\nsize in kb: 3.25\r\nsize in mb: 0.003173828125<\/pre>\n
Some Considerations<\/h2>\n
os.stat<\/code> method is equivalent to os.f_stat()<\/code> in Python 3.3+. This method now takes an integer value as an argument\u2014referencing a file descriptor<\/a>\u2014and will throw an TypeError<\/code> if passed a file path such as sample.txt<\/code> as an argument. It’s worth noting that the os.stat()<\/code> method can accept both file descriptor objects as well as strings representing a file path.<\/p>\nos.stat()<\/code> method can ignore file pointer chaining by passing along the keyword argument follow_symlinks=False<\/code> which is True<\/code> by default. In such cases, Python will now use the specified path rather than raising an error. Check the official documentation for more details<\/a>.<\/p>\nFinal Thoughts<\/h2>\n
os.stat<\/code> and os.path.getsize<\/code> approaches here will get the job done and are provided via the standard Python library. Hard to get any simpler or efficient than that!<\/p>\n","protected":false},"excerpt":{"rendered":"