tqdm

Use tqdm with concurrent.futures?

由 纵饮孤独 提交于 2019-12-09 14:04:02
问题 I have a multithreaded function that I would like a status bar for using tqdm . Is there an easy way to show a status bar with ThreadPoolExecutor ? It is the parallelization part that is confusing me. import concurrent.futures def f(x): return f**2 my_iter = range(1000000) def run(f,my_iter): with concurrent.futures.ThreadPoolExecutor() as executor: function = list(executor.map(f, my_iter)) return results run(f, my_iter) # wrap tqdr around this function? 回答1: You can wrap tqdm around the

How to use tqdm with pandas in a jupyter notebook?

由 允我心安 提交于 2019-12-09 08:41:36
问题 I'm doing some analysis with pandas in a jupyter notebook and since my apply function takes a long time I would like to see a progress bar. Through this post here I found the tqdm library that provides a simple progress bar for pandas operations. There is also a Jupyter integration that provides a really nice progress bar where the bar itself changes over time. However, I would like to combine the two and don't quite get how to do that. Let's just take the same example as in the documentation

Keras floods Jupyter cell output during fit (verbose=1)

由 早过忘川 提交于 2019-12-07 12:22:57
问题 When running keras model inside Jupyter notebook with "verbose=1" option, I started getting not single line progress status updates as before, but a flood of status lines updated at batch. See attached picture. Restarting jupyter or the browser is not helping. Jupyter notebook server is: 5.6.0, keras is 2.2.2, Python is Python 3.6.5 Please help. cell content: history = model.fit(x=train_df_scaled, y=train_labels, batch_size=BATCH_SIZE, epochs=EPOCHS, verbose=1, validation_data=(validation_df

tqdm progressbar and colorama do not work together

由 荒凉一梦 提交于 2019-12-07 08:57:14
问题 I want to use colorama, but I already use tqdm in my code. Example: import colorama as color import tqdm as tqdm # without line it's working print(color.Fore.GREEN + 'Green text') It's working fine without tqdm, but if I import tqdm, colorama does not color the text until I restart the console. I use IPython console with Spyder (Python 3.6). Is there a way I can use these packages together? 回答1: try it as follow (https://github.com/tqdm/tqdm/issues/450) from tqdm import trange from colorama

combining tqdm with delayed execution with dask in python

由 橙三吉。 提交于 2019-12-06 02:40:12
问题 tqdm and dask are both amazing packages for iterations in python. While tqdm implements the needed progress bar, dask implements the multi-thread platform and they both can make iteration process less frustrating. Yet - I'm having troubles to combine them both together. For example, the following code implements a delayed execution in dask , with tqdm.trange progress bar. The thing is that since the delayed is performed quickly, the progress bar ends immediately, while the real computation

Keras floods Jupyter cell output during fit (verbose=1)

由 谁说我不能喝 提交于 2019-12-05 14:34:18
When running keras model inside Jupyter notebook with "verbose=1" option, I started getting not single line progress status updates as before, but a flood of status lines updated at batch. See attached picture. Restarting jupyter or the browser is not helping. Jupyter notebook server is: 5.6.0, keras is 2.2.2, Python is Python 3.6.5 Please help. cell content: history = model.fit(x=train_df_scaled, y=train_labels, batch_size=BATCH_SIZE, epochs=EPOCHS, verbose=1, validation_data=(validation_df_scaled, validation_labels), shuffle=True) output flood example: (it is thousands of lines like this)

tqdm progressbar and colorama do not work together

由 我是研究僧i 提交于 2019-12-05 13:00:24
I want to use colorama, but I already use tqdm in my code. Example: import colorama as color import tqdm as tqdm # without line it's working print(color.Fore.GREEN + 'Green text') It's working fine without tqdm, but if I import tqdm, colorama does not color the text until I restart the console. I use IPython console with Spyder (Python 3.6). Is there a way I can use these packages together? Nàéèm try it as follow ( https://github.com/tqdm/tqdm/issues/450 ) from tqdm import trange from colorama import Fore for i in trange(int(7e7), bar_format="{l_bar}%s{bar}%s{r_bar}" % (Fore.GREEN, Fore.RESET)

Python中大名鼎鼎的face_recognition使用

由 十年热恋 提交于 2019-12-05 11:57:02
背景 face_recognition 是号称世界上最简单的人脸识别工具和Python库。虽然，是国外开源的项目（良心的MIT开源协议），竟然有官方的中文文档支持，从未见过如此亲近天朝人民的开源项目了。 问题 手里有一张目标人物图，需要从一堆图片文件中，找出这个人是谁？这一堆的图片文件时，按人的姓名分类的。本来想直接使用face_recognition命令行解决，如下： face_recognition ./pictures_of_people_i_know/ ./unknown_pictures/ 然而，我的unknown_pictures文件下面是按人姓名做为文件夹划分的，face_recognition不支持递归文件夹来找文件，所以，就只能编写python程序来解决了。 Python3 from __future__ import division from tqdm import tqdm import os import face_recognition import imghdr import sys def get_all_files(path_dir): all_file = [] for dir_path, dir_names, filenames in os.walk(path_dir): for dir_ in dir_names: all_file

Progress bar for pandas.DataFrame.to_sql

由 余生长醉 提交于 2019-12-05 07:44:39
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. Unfortuantely DataFrame.to_sql does not provide a chunk-by-chunk callback, which is needed by tqdm to update its status. However, you can process the dataframe chunk by chunk: import sqlite3 import pandas as pd from

万能的Python，还能用来制作高大上的进度条？

由 大城市里の小女人 提交于 2019-12-04 23:30:40
对于开发或者运维来说，使用Python去完成一些跑批任务，或者做一些监控事件是非常正常的情况。那么如何有效的监控任务的进度，除了在任务中加上log外，还能不能有另一种方式来了解任务进展到哪一步了呢？ 这就是今天我们来了解的内容，进度条 1. 标准输出 首先说一下在操作系统中，都有哪些控制符： \r： 将光标移动到当前行的首位而不换行； \n：将光标移动到下一行，并不移动到首位； \r\n：将光标移动到下一行首位。 那让我们来看下如何通过python来将标准输出中添加进度条吧 import sys import time def progress_bar(total): """ 进度条效果 """ # 获取标准输出 _output = sys.stdout # 通过参数决定你的进度条总量是多少 for count in range(0, total + 1): # 这里的second只是作为工作量的一种代替 # 这里应该是有你的主程序,main() _second = 0.1 # 模拟业务的消耗时间 time.sleep(_second) # 输出进度条 _output.write(f'\rcomplete percent:{count:.0f}') # 将标准输出一次性刷新 _output.flush() progress_bar(100) 来看下实际效果，这里我录了一段gif 2
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