Download Progress Bar Python
If you are working on a Python project that involves downloading files from the internet, you may want to add a download progress bar to your script. A download progress bar is a visual indicator that shows how much of a file has been downloaded and how much time is left until the download is complete. This can help you monitor the status of your download, estimate the bandwidth usage, and improve the user experience.
In this article, we will show you how to create a download progress bar in Python using different libraries and techniques. We will cover the following topics:
download progress bar python
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How to create a simple progress bar with TQDM
How to customize a progress bar with TQDM
How to create a download progress bar with Requests and TQDM
How to use other libraries for progress bars in Python
How to Create a Simple Progress Bar with TQDM
TQDM is a popular library for creating progress bars in Python. It stands for "Te Quiero Mucho", which means "I love you very much" in Spanish. It is easy to use, fast, and extensible. It supports both terminal and notebook environments, and can handle nested loops, iterators, generators, and coroutines.
TQDM Installation
TQDM is not part of the standard Python library, so you need to install it first. You can use either pip or conda to install it:
pip install tqdm conda install tqdm
TQDM Usage
To use TQDM, you just need to import it and wrap it around any iterable object that you want to iterate over using a for loop. For example, if you want to create a simple progress bar for looping over a range of numbers, you can do something like this:
from tqdm import tqdm import time for i in tqdm(range(100)): time.sleep(0.1)
This will create a simple progress bar in the terminal that looks something like this:
Downloading download.data [============= ] 45%
The progress bar will update as the loop iterates over the range. The progress bar shows the percentage of completion, the number of iterations done, the estimated time remaining, and the speed of iteration.
How to Customize a Progress Bar with TQDM
While TQDM allows you to create progress bars with minimal code, it also offers many options for customizing them. You can pass different parameters to the tqdm() function to change the appearance and behavior of the progress bar.</p TQDM Parameters
Some of the most common parameters that you can use to customize your progress bar with TQDM are:
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desc: A string describing the progress bar's purpose (e.g., "Processing files").
total: The total number of iterations, if it can't be inferred from the iterable.
unit: A string describing the units of progress (e.g., "files").
unit_scale: A boolean or a number that scales the unit by 1000 (e.g., "kB", "MB").
leave: A boolean that determines whether to leave the progress bar after completion or clear it.
ncols: The width of the progress bar in characters, or None to auto-detect.
mininterval: The minimum interval in seconds between updates.
maxinterval: The maximum interval in seconds between updates.
position: The position of the progress bar in a nested loop, starting from 0.
bar_format: A string that specifies the format of the progress bar, using placeholders such as l_bar, bar, r_bar, n, total, rate, eta.
You can find more parameters and their descriptions in the .
TQDM Examples
Here are some examples of using different parameters to create different types of progress bars with TQDM:
# A progress bar with a custom description and unit from tqdm import tqdm import time for i in tqdm(range(100), desc="Processing files", unit="file"): time.sleep(0.1) # A progress bar with a custom format and width from tqdm import tqdm import time for i in tqdm(range(100), bar_format="l_barbar:20r_bar", ncols=50): time.sleep(0.1) # A progress bar with a custom scale and dynamic smoothing from tqdm import tqdm import time for i in tqdm(range(100), unit="B", unit_scale=True, smoothing=0.1): time.sleep(0.1)
The output of these examples looks something like this:
Processing files: 100% 100/100 [00:10
How to Create a Download Progress Bar with Requests and TQDM
If you want to create a download progress bar for downloading files from the internet, you can use the Requests library in combination with TQDM. Requests is a powerful and elegant library for making HTTP requests in Python. It supports many features such as authentication, cookies, redirects, proxies, and more.
Requests Installation
Requests is not part of the standard Python library, so you need to install it first. You can use either pip or conda to install it:
pip install requests conda install requests
Requests Usage
To use Requests, you just need to import it and use the requests.get() function to download a file from a URL. For example, if you want to download a sample image from Wikipedia, you can do something like this:
import requests url = " response = requests.get(url) with open("image.png", "wb") as f: f.write(response.content)
This will download the image and save it as "image.png" in your current directory.
Download Progress Bar
To create a download progress bar with Requests and TQDM, you need to do two things:
Use the stream parameter of requests.get() to enable streaming the response content instead of loading it into memory at once.
Use the iter_content method of the response object to iterate over the content in chunks and wrap it with the tqdm() function to create a progress bar.
For example, if you want to create a download progress bar for the same image as before, you can do something like this:
import requests from tqdm import tqdm url = " response = requests.get(url, stream=True) total_size = int(response.headers.get("content-length", 0)) chunk_size = 1024 progress_bar = tqdm(total=total_size, unit="B", unit_scale=True) with open("image.png", "wb") as f: for chunk in response.iter_content(chunk_size): if chunk: f.write(chunk) progress_bar.update(len(chunk)) progress_bar.close()
This will create a download progress bar in the terminal that looks something like this:
Downloading image.png [====================] 100% 8.00/8.00 [00:00
The download progress bar shows the file name, the percentage of completion, the downloaded size, and the download speed.
How to Use Other Libraries for Progress Bars in Python
TQDM is not the only library that you can use to create progress bars in Python. There are other libraries that offer different features and styles for progress bars. Here are two examples of other libraries that you can use for progress bars in Python:
Alive-Progress Library
The alive-progress library is a library that creates animated and interactive progress bars in Python. It supports both terminal and notebook environments, and can handle multiple concurrent progress bars, spinners, counters, and bars. It also has many built-in themes and styles for customizing the progress bars.
To use the alive-progress library, you need to install it first using pip:
pip install alive-progress
Then, you can import it and use the alive_bar() function as a context manager to create a progress bar. For example, if you want to create a simple progress bar for looping over a range of numbers, you can do something like this:
from alive_progress import alive_bar import time with alive_bar(100) as bar: for i in range(100): time.sleep(0.1) bar()
This will create a simple progress bar in the terminal that looks something like this:
100/100 [100%] in 10.0s (9.99/s)
The progress bar shows the number of iterations done, the percentage of completion, the elapsed time, and the speed of iteration. It also has an animated spinner that indicates the activity.
Progressbar2 Library
The progressbar2 library is a library that creates text-based progress bars in Python. It is a fork of the original progressbar library, with some improvements and bug fixes. It supports both terminal and notebook environments, and can handle dynamic resizing, custom widgets, unknown sizes, and nested bars.
To use the progressbar2 library, you need to install it first using pip:
pip install progressbar2
Then, you can import it and use the ProgressBar() class to create a progress bar object. You can then call the update() method on the object to update the progress bar. For example, if you want to create a simple progress bar for looping over a range of numbers, you can do something like this:
import progressbar import time bar = progressbar.ProgressBar(max_value=100) for i in range(100): time.sleep(0.1) bar.update(i + 1)
This will create a simple progress bar in the terminal that looks something like this:
100% (100 of 100) Elapsed Time: 0:00:10 Time: 0:00:10
The progress bar shows the percentage of completion, the number of iterations done out of the total number, the elapsed time, and the estimated time remaining.
Conclusion
In this article, we have learned how to create a download progress bar in Python using different libraries and techniques. We have seen how to use TQDM, Requests, alive-progress, and progressbar2 to create simple, customized, and animated progress bars for downloading files from the internet. We have also learned how to use different parameters, methods, and widgets to change the appearance and behavior of the progress bars.
Creating a download progress bar in Python can be a useful feature for your Python projects that involve downloading files from the internet. It can help you monitor the status of your download, estimate the bandwidth usage, and improve the user experience. We hope that this article has given you some insights and tips on how to create a download progress bar in Python.
If you want to learn more about creating progress bars in Python, you can check out the following resources:
FAQs
Here are some frequently asked questions and answers related to the topic of creating a download progress bar in Python:
How can I create a progress bar for uploading files in Python?
You can use a similar approach as for downloading files, but instead of using requests.get(), you need to use requests.post() or requests.put() to upload a file to a URL. You also need to use the files parameter of requests.post() or requests.put() to specify the file object or name. For example:
import requests from tqdm import tqdm url = " file_name = "image.png" total_size = os.path.getsize(file_name) chunk_size = 1024 progress_bar = tqdm(total=total_size, unit="B", unit_scale=True) with open(file_name, "rb") as f: response = requests.post(url, files="file": f, stream=True) for chunk in response.iter_content(chunk_size): if chunk: progress_bar.update(len(chunk)) progress_bar.close()
How can I create a progress bar for copying files in Python?
You can use the shutil library to copy files in Python. The shutil.copyfileobj() function allows you to copy a file object to another file object. You can use the TQDM library to wrap the source file object with the tqdm() function to create a progress bar. For example:
import shutil from tqdm import tqdm source_file = "image.png" destination_file = "copy.png" total_size = os.path.getsize(source_file) chunk_size = 1024 with open(source_file, "rb") as src, open(destination_file, "wb") as dst: shutil.copyfileobj(tqdm(src, total=total_size, unit="B", unit_scale=True), dst, chunk_size)
How can I create a progress bar for processing data in Python?
You can use any iterable object that supports len() or __len__() to create a progress bar for processing data in Python. For example, if you have a list of data that you want to process with a function, you can do something like this:
from tqdm import tqdm data = [1, 2, 3, 4, 5] def process(x): # do something with x return x * 2 results = [] for x in tqdm(data): results.append(process(x))
How can I create a progress bar for multithreading or multiprocessing in Python?
You can use the concurrent.futures library to create multithreading or multiprocessing tasks in Python. The concurrent.futures.as_completed() function allows you to iterate over the completed futures as they are done. You can use the TQDM library to wrap the concurrent.futures.as_completed() function with the tqdm() function to create a progress bar. For example:
import concurrent.futures from tqdm import tqdm data = [1, 2, 3, 4, 5] def process(x): # do something with x return x * 2 with concurrent.futures.ThreadPoolExecutor() as executor: futures = [executor.submit(process, x) for x in data] results = [] for future in tqdm(concurrent.futures.as_completed(futures)): results.append(future.result())
This will create a progress bar in the terminal that shows the number of completed tasks out of the total number of tasks.
How can I create a progress bar for web scraping in Python?
You can use a combination of the Requests, BeautifulSoup, and TQDM libraries to create a progress bar for web scraping in Python. Requests allows you to make HTTP requests to web pages, BeautifulSoup allows you to parse and extract data from HTML documents, and TQDM allows you to create progress bars for iterables. For example, if you want to scrape the titles of the articles from the New Scientist website, you can do something like this:
import requests from bs4 import BeautifulSoup from tqdm import tqdm url = " response = requests.get(url) soup = BeautifulSoup(response.text, "html.parser") articles = soup.find_all("article") titles = [] for article in tqdm(articles): title = article.find("h2").text.strip() titles.append(title)
This will create a progress bar in the terminal that shows the number of articles scraped out of the total number of articles on the web page.
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