tqdm

问题 I'm trying to get a progress bar going in Jupyter notebooks. This is a new computer and what I normally do doesn't seem to work: from tqdm import tqdm_notebook example_iter = [1,2,3,4,5] for rec in tqdm_notebook(example_iter): time.sleep(.1) Produces the following text output and doesn't show any progress bar HBox(children=(IntProgress(value=0, max=5), HTML(value=''))) Similarly, this code: from ipywidgets import FloatProgress from IPython.display import display f = FloatProgress(min=0, max=1

问题 This question already has answers here : Progress indicator during pandas operations (6 answers) Closed 9 months ago . I could find examples of tqdm progress bar being used for group by and other pandas operations. But couldn't find anything on merge or join. Is it possible to use tqdm on pandas for merge ? 回答1: tqdm supports pandas and various operations within it. For merging two large dataframes and showing the progress, you could do it this way: import pandas as pd from tqdm import tqdm

问题 I'm using tqdm to monitor the downloading of files in my python programs but it doesn't show the progress bar. I have this code: from tqdm import * import requests url = "https://as2.cdn.asset.aparat.com/aparat-video/520055aa72618571e4ce34b434e328b615570838-144p__58945.mp4" name = "video" with requests.get(url, stream=True) as r: r.raise_for_status() with open(name, 'wb') as f: for chunk in tqdm(r.iter_content(chunk_size=8192), r.headers.get("content-length")): if chunk: # filter out keep

问题 I have been googling for a while and couldn't figure out a way to do this. I have a simple Flask app which takes a CSV file, reads it into a Pandas dataframe, converts it and output as a new CSV file. I have managed to upload and convert it successfully with HTML <div class="container"> <form method="POST" action="/convert" enctype="multipart/form-data"> <div class="form-group"> <br /> <input type="file" name="file"> <input type="submit" name="upload"/> </div> </form> </div> where after I

问题 I'm trying to find a way of getting, along with other prints, the result/evolution of a progress bar in a pyqt application, for example in a QPlainTextEdit widget. The problem I'm facing, is that progress bars can use some more advanced carriage return, or even more advanced cursor positionning that are mostly not supported by treams. I've tried io.StringIO , but the \r is kept literal. import io from tqdm import tqdm s = io.StringIO() for i in tqdm(range(3), file=s): sleep(.1) output: s

问题 Running any application on Windows that make use of tqdm progress bars has become a tremendous headache. It's not clear to me if this is a Windows fault or not, but the bug is easily reproducible. Run the following code on cmd.exe or Powershell : from tqdm import * import time counter = 1000 for i in tqdm(range(counter)): time.sleep(.01) You can do the following while the progress bar is increasing to trigger the crash: Use the left-mouse button to select a few characters on the window (even

问题 I want to run a function in parallel, and wait until all parallel nodes are done, using joblib. Like in the example: from math import sqrt from joblib import Parallel, delayed Parallel(n_jobs=2)(delayed(sqrt)(i ** 2) for i in range(10)) But, I want that the execution will be seen in a single progressbar like with tqdm , showing how many jobs has been completed. How would you do that? 回答1: If your problem consists of many parts, you could split the parts into k subgroups, run each subgroup in

问题 I would like to have two independent progress bars. This is a minimal example where if I use two bars they are not updated properly. Instead new bars are created. import time from tqdm import * pbar1 = tqdm(total=100) pbar2 = tqdm(total=200) for i in range(10): pbar1.update(10) pbar2.update(20) time.sleep(1) When running the example. I get something like: 0%| | 0/100 [00:00<?, ?it/s] 20%|██ | 20/100 [00:01<00:04, 19.97it/s] 30%|███ | 30/100 [00:02<00:04, 15.36it/s] 40%|████ | 40/100 [00:03<00

问题 I'm using tqdm in Python to display console progress bars. I have a function from another library that occasionally writes to both stdout and stderr inside the tqdm loop. I cannot hack the source code of that function. While this doc shows how to redirect sys.stdout, it doesn't easily generalize to stderr because I can pass only one of stdout or stderr to the file= parameter in tqdm's __init__ . Please refer to this question and its accepted answer for the minimal code that illustrates the

问题 I want to migrate data from a large csv file to sqlite3 database. My code on Python 3.5 using pandas: con = sqlite3.connect(DB_FILENAME) df = pd.read_csv(MLS_FULLPATH) df.to_sql(con=con, name="MLS", if_exists="replace", index=False) Is it possible to print current status (progress bar) of execution of to_sql method? I looked the article about tqdm, but didn't find how to do this. 回答1: Unfortuantely DataFrame.to_sql does not provide a chunk-by-chunk callback, which is needed by tqdm to update