{ "info": { "author": "Sylvain Gugger", "author_email": "", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "# fastprogress\n\nA fast and simple progress bar for Jupyter Notebook and console. Created by Sylvain Gugger for fast.ai.\n\nCopyright 2017 onwards, fast.ai. Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.\n\n\n\n## Install\n\nTo install simply use\n```\npip install fastprogress\n```\nor:\n```\nconda install -c fastai fastprogress \n```\nNote that this requires python 3.6 or later.\n\n## Usage\n\nHere is a simple example. Each bar takes an iterator as a main argument, and we can specify the second bar is nested with the first by adding the argument parent=mb. We can then\n- add a comment in the first bar by changing the value of mb.first_bar.comment\n- add a comment in the first bar by changing the value of mb.child.comment\n- write a line between the two bars with mb.write('message')\n\n``` python\nfrom fastprogress import master_bar, progress_bar\nfrom time import sleep\nmb = master_bar(range(10))\nfor i in mb:\n for j in progress_bar(range(100), parent=mb):\n sleep(0.01)\n mb.child.comment = f'second bar stat'\n mb.first_bar.comment = f'first bar stat'\n mb.write(f'Finished loop {i}.')\n #mb.update_graph(graphs, x_bounds, y_bounds)\n```\n\n\n\nTo add a graph that get plots as the training goes, just use the command mb.update_graphs. It will create the figure on its first use. Arguments are:\n- graphs: a list of graphs to be plotted (each of the form [x,y])\n- x_bounds: the min and max values of the x axis (if None, it will those given by the graphs)\n- y_bounds: the min and max values of the y axis (if None, it will those given by the graphs)\n\nNote that it's best to specify x_bounds and _bounds otherwise the box will change as the loop progresses.\n\nAdditionally, we can give the label of each graph via the command mb.names (should have as many elements as the graphs argument).\n\n``` python\nimport numpy as np\nmb = master_bar(range(10))\nmb.names = ['cos', 'sin']\nfor i in mb:\n for j in progress_bar(range(100), parent=mb):\n if j%10 == 0:\n k = 100 * i + j\n x = np.arange(0, 2*k*np.pi/1000, 0.01)\n y1, y2 = np.cos(x), np.sin(x)\n graphs = [[x,y1], [x,y2]]\n x_bounds = [0, 2*np.pi]\n y_bounds = [-1,1]\n mb.update_graph(graphs, x_bounds, y_bounds)\n mb.child.comment = f'second bar stat'\n mb.first_bar.comment = f'first bar stat'\n mb.write(f'Finished loop {i}.')\n```\n\n\n\nHere is the rendering in console:\n\n\n\nIf the script using this is executed with a redirect to a file, only the results of the .write method will be printed in that file.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/fastai/fastprogress", "keywords": "", "license": "Apache License 2.0", "maintainer": "", "maintainer_email": "", "name": "fastprogress", "package_url": "https://pypi.org/project/fastprogress/", "platform": "", "project_url": "https://pypi.org/project/fastprogress/", "project_urls": { "Homepage": "https://github.com/fastai/fastprogress" }, "release_url": "https://pypi.org/project/fastprogress/0.1.21/", "requires_dist": null, "requires_python": "", "summary": "A nested progress with plotting options for fastai", "version": "0.1.21" }, "last_serial": 5118890, "releases": { "0.1.10": [ { "comment_text": "", 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