mirror of https://github.com/tqdm/tqdm.git
1715 lines
54 KiB
Plaintext
1715 lines
54 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<h1 align=\"center\">tqdm</h1>\n",
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"<img src=\"https://raw.githubusercontent.com/tqdm/tqdm/master/images/logo.gif\" align=\"left\" />\n",
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"\n",
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"[](https://pypi.org/project/tqdm)|[](https://tqdm.github.io/releases)|[](https://anaconda.org/conda-forge/tqdm)|[](https://hub.docker.com/r/tqdm/tqdm)|[](https://snapcraft.io/tqdm)\n",
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"-|-|-|-|-\n",
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"\n",
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"[](https://travis-ci.org/tqdm/tqdm)|[](https://coveralls.io/github/tqdm/tqdm)|[](https://codecov.io/gh/tqdm/tqdm)|[](https://www.codacy.com/app/tqdm/tqdm/dashboard)|[](https://libraries.io/pypi/tqdm)|[](https://pypi.org/project/tqdm)\n",
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"-|-|-|-|-|-\n",
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"\n",
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"[](https://doi.org/10.21105/joss.01277)|[](https://raw.githubusercontent.com/tqdm/tqdm/master/LICENCE)|[](https://www.openhub.net/p/tqdm?ref=Thin+badge)|[](https://mybinder.org/v2/gh/tqdm/tqdm/master?filepath=DEMO.ipynb)|[](https://notebooks.ai/demo/gh/tqdm/tqdm)|[](https://github.com/vinta/awesome-python)\n",
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"-|-|-|-|-|-\n",
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"\n",
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"`tqdm` derives from the Arabic word *taqaddum* (تقدّم) which can mean\n",
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"\"progress,\" and is an abbreviation for \"I love you so much\" in Spanish\n",
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"(*te quiero demasiado*).\n",
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"\n",
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"Instantly make your loops show a smart progress meter - just wrap any\n",
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"iterable with `tqdm(iterable)`, and you're done!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 10000/10000 [00:00<00:00, 1541060.37it/s]\n"
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]
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}
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],
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"source": [
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"from tqdm import tqdm\n",
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"for i in tqdm(range(10000)):\n",
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" pass"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"`trange(N)` can be also used as a convenient shortcut for\n",
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"`tqdm(xrange(N))`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"hello: 100%|██████████| 10.0k/10.0k [00:00<00:00, 1.56Mepoch/s]\n"
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]
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}
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],
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"source": [
|
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"from tqdm import trange\n",
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"for i in trange(10000, unit_scale=True, desc=\"hello\", unit=\"epoch\"):\n",
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" pass"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"|[](https://tqdm.github.io/video) [](https://tqdm.github.io/PyData2019/slides.html)\n",
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"-|-\n",
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"\n",
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"It can also be executed as a module with pipes:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"75.2MB [00:00, 217MB/s]\n",
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"9999999\n"
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]
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}
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],
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"source": [
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"! seq 9999999 | tqdm --bytes | wc -l"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"```sh\n",
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"tar -zcf - docs/ | tqdm --bytes --total `du -sb docs/ | cut -f1` > backup.tgz\n",
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" 44%|██████████████▊ | 153M/352M [00:14<00:18, 11.0MB/s]\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
|
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"Overhead is low -- about 60ns per iteration (80ns with `tqdm.gui`), and\n",
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"is unit tested against performance regression. By comparison, the\n",
|
||
"well-established\n",
|
||
"[ProgressBar](https://github.com/niltonvolpato/python-progressbar) has\n",
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||
"an 800ns/iter overhead.\n",
|
||
"\n",
|
||
"In addition to its low overhead, `tqdm` uses smart algorithms to predict\n",
|
||
"the remaining time and to skip unnecessary iteration displays, which\n",
|
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"allows for a negligible overhead in most cases.\n",
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"\n",
|
||
"`tqdm` works on any platform (Linux, Windows, Mac, FreeBSD, NetBSD,\n",
|
||
"Solaris/SunOS), in any console or in a GUI, and is also friendly with\n",
|
||
"IPython/Jupyter notebooks.\n",
|
||
"\n",
|
||
"`tqdm` does not require any dependencies (not even `curses`!), just\n",
|
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"Python and an environment supporting `carriage return \\r` and\n",
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||
"`line feed \\n` control characters.\n",
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"\n",
|
||
"---\n",
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||
"\n",
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||
"## Usage\n",
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"\n",
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"`tqdm` is very versatile and can be used in a number of ways.\n",
|
||
"The three main ones are given below.\n",
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"\n",
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||
"### Iterable-based\n",
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"\n",
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"Wrap `tqdm()` around any iterable:"
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
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||
"execution_count": null,
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||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"from time import sleep"
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||
]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"100%|██████████| 4/4 [00:01<00:00, 3.98it/s]\n"
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]
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}
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],
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"source": [
|
||
"text = \"\"\n",
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||
"for char in tqdm([\"a\", \"b\", \"c\", \"d\"]):\n",
|
||
" sleep(0.25)\n",
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" text = text + char"
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]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
|
||
"`trange(i)` is a special optimised instance of `tqdm(range(i))`:"
|
||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": null,
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||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
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||
"output_type": "stream",
|
||
"text": [
|
||
"100%|██████████| 100/100 [00:01<00:00, 96.76it/s]\n"
|
||
]
|
||
}
|
||
],
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||
"source": [
|
||
"from tqdm import trange\n",
|
||
"\n",
|
||
"for i in trange(100):\n",
|
||
" sleep(0.01)"
|
||
]
|
||
},
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||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Instantiation outside of the loop allows for manual control over `tqdm()`:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
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||
"execution_count": null,
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||
"metadata": {},
|
||
"outputs": [
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||
{
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||
"name": "stderr",
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"output_type": "stream",
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"text": [
|
||
"Processing d: 100%|██████████| 4/4 [00:01<00:00, 3.90it/s]\n"
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||
]
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||
}
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||
],
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||
"source": [
|
||
"pbar = tqdm([\"a\", \"b\", \"c\", \"d\"])\n",
|
||
"for char in pbar:\n",
|
||
" sleep(0.25)\n",
|
||
" pbar.set_description(\"Processing %s\" % char)"
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
|
||
"### Manual\n",
|
||
"\n",
|
||
"Manual control of `tqdm()` updates using a `with` statement:"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
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||
"name": "stderr",
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"output_type": "stream",
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||
"text": [
|
||
"100%|██████████| 100/100 [00:01<00:00, 97.81it/s]\n"
|
||
]
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||
}
|
||
],
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||
"source": [
|
||
"with tqdm(total=100) as pbar:\n",
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||
" for i in range(10):\n",
|
||
" sleep(0.1)\n",
|
||
" pbar.update(10)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
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||
"metadata": {},
|
||
"source": [
|
||
"If the optional variable `total` (or an iterable with `len()`) is\n",
|
||
"provided, predictive stats are displayed.\n",
|
||
"\n",
|
||
"`with` is also optional (you can just assign `tqdm()` to a variable,\n",
|
||
"but in this case don't forget to `del` or `close()` at the end:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|██████████| 100/100 [00:01<00:00, 97.85it/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"pbar = tqdm(total=100)\n",
|
||
"for i in range(10):\n",
|
||
" sleep(0.1)\n",
|
||
" pbar.update(10)\n",
|
||
"pbar.close()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Module"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Perhaps the most wonderful use of `tqdm` is in a script or on the\n",
|
||
"command line. Simply inserting `tqdm` (or `python -m tqdm`) between\n",
|
||
"pipes will pass through all `stdin` to `stdout` while printing progress\n",
|
||
"to `stderr`.\n",
|
||
"\n",
|
||
"The example below demonstrated counting the number of lines in all\n",
|
||
"Python files in the current directory, with timing information included."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"5.80user 2.52system 0:08.86elapsed 93%CPU (0avgtext+0avgdata 3084maxresident)k\r\n",
|
||
"161232inputs+0outputs (0major+913287minor)pagefaults 0swaps\r\n",
|
||
"4104300\r\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"! time find . -name '*.py' -type f -exec cat \\{} \\; | wc -l"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"4043186it [00:05, 595767.35it/s]4.09user 1.23system 0:05.88elapsed 90%CPU (0avgtext+0avgdata 3092maxresident)k\n",
|
||
"20128inputs+0outputs (0major+904021minor)pagefaults 0swaps\n",
|
||
"4104300it [00:05, 698847.16it/s]\n",
|
||
"4104300\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"! time find . -name '*.py' -type f -exec cat \\{} \\; | tqdm | wc -l"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Note that the usual arguments for `tqdm` can also be specified."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|█████████████████████████████████████| 4.10M/4.10M [00:05<00:00, 724kloc/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"! find . -name '*.py' -type f -exec cat \\{} \\; | tqdm --unit loc --unit_scale --total 4104300 >> /dev/null"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Backing up a large directory?\n",
|
||
"\n",
|
||
"```sh\n",
|
||
"tar -zcf - docs/ | tqdm --bytes --total `du -sb docs/ | cut -f1` > backup.tgz\n",
|
||
" 44%|██████████████▊ | 153M/352M [00:14<00:18, 11.0MB/s]\n",
|
||
"```\n",
|
||
"\n",
|
||
"This can be beautified further:\n",
|
||
"\n",
|
||
"```sh\n",
|
||
"BYTES=\"$(du -sb docs/ | cut -f1)\"\n",
|
||
"tar -cf - docs/ \\\n",
|
||
" | tqdm --bytes --total \"$BYTES\" --desc Processing | gzip \\\n",
|
||
" | tqdm --bytes --total \"$BYTES\" --desc Compressed --position 1 \\\n",
|
||
" > ~/backup.tgz\n",
|
||
"Processing: 100%|██████████████████████| 352M/352M [00:14<00:00, 30.2MB/s]\n",
|
||
"Compressed: 42%|█████████▎ | 148M/352M [00:14<00:19, 10.9MB/s]\n",
|
||
"```\n",
|
||
"\n",
|
||
"Or done on a file level using 7-zip:\n",
|
||
"\n",
|
||
"```sh\n",
|
||
"7z a -bd -r backup.7z docs/ | grep Compressing \\\n",
|
||
" | tqdm --total $(find docs/ -type f | wc -l) --unit files \\\n",
|
||
" | grep -v Compressing\n",
|
||
"100%|██████████████████████████▉| 15327/15327 [01:00<00:00, 712.96files/s]\n",
|
||
"```"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Documentation"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"tqdm?"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
" Extra CLI Options\n",
|
||
" -----------------\n",
|
||
" delim : chr, optional\n",
|
||
" Delimiting character [default: '\\n']. Use '\\0' for null.\n",
|
||
" N.B.: on Windows systems, Python converts '\\n' to '\\r\\n'.\n",
|
||
" buf_size : int, optional\n",
|
||
" String buffer size in bytes [default: 256]\n",
|
||
" used when `delim` is specified.\n",
|
||
" bytes : bool, optional\n",
|
||
" If true, will count bytes, ignore `delim`, and default\n",
|
||
" `unit_scale` to True, `unit_divisor` to 1024, and `unit` to 'B'.\n",
|
||
" manpath : str, optional\n",
|
||
" Directory in which to install tqdm man pages.\n",
|
||
" comppath : str, optional\n",
|
||
" Directory in which to place tqdm completion.\n",
|
||
" log : str, optional\n",
|
||
" CRITICAL|FATAL|ERROR|WARN(ING)|[default: 'INFO']|DEBUG|NOTSET.\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"! tqdm --help"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Examples and Advance Usage\n",
|
||
"\n",
|
||
"- See the [examples](https://github.com/tqdm/tqdm/tree/master/examples)\n",
|
||
" folder;\n",
|
||
"- import the module and run `help()`;\n",
|
||
"- consult the [wiki](https://github.com/tqdm/tqdm/wiki)\n",
|
||
" - this has an\n",
|
||
" [excellent article](https://github.com/tqdm/tqdm/wiki/How-to-make-a-great-Progress-Bar)\n",
|
||
" on how to make a **great** progressbar;\n",
|
||
"- check out the [slides from PyData London](https://tqdm.github.io/PyData2019/slides.html), or\n",
|
||
"- run this file!\n",
|
||
"\n",
|
||
"### Description and additional stats\n",
|
||
"\n",
|
||
"Custom information can be displayed and updated dynamically on `tqdm` bars\n",
|
||
"with the `desc` and `postfix` arguments:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"GEN 9: 100%|██████████| 10/10 [00:01<00:00, 8.87it/s, gen=980, loss=0.762, lst=[1, 2], str=h]\n",
|
||
"Batch 4\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm, trange\n",
|
||
"from random import random, randint\n",
|
||
"from time import sleep\n",
|
||
"\n",
|
||
"with trange(10) as t:\n",
|
||
" for i in t:\n",
|
||
" # Description will be displayed on the left\n",
|
||
" t.set_description('GEN %i' % i)\n",
|
||
" # Postfix will be displayed on the right,\n",
|
||
" # formatted automatically based on argument's datatype\n",
|
||
" t.set_postfix(loss=random(), gen=randint(1,999), str='h',\n",
|
||
" lst=[1, 2])\n",
|
||
" sleep(0.1)\n",
|
||
"\n",
|
||
"with tqdm(total=10, bar_format=\"{postfix[0]} {postfix[1][value]:>8.2g}\",\n",
|
||
" postfix=[\"Batch\", dict(value=0)]) as t:\n",
|
||
" for i in range(10):\n",
|
||
" sleep(0.1)\n",
|
||
" t.postfix[1][\"value\"] = i / 2\n",
|
||
" t.update()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Points to remember when using `{postfix[...]}` in the `bar_format` string:\n",
|
||
"\n",
|
||
"- `postfix` also needs to be passed as an initial argument in a\n",
|
||
" compatible format, and\n",
|
||
"- `postfix` will be auto-converted to a string if it is a `dict`-like\n",
|
||
" object. To prevent this behaviour, insert an extra item into the\n",
|
||
" dictionary where the key is not a string.\n",
|
||
"\n",
|
||
"Additional `bar_format` parameters may also be defined by overriding\n",
|
||
"`format_dict`, and the bar itself may be modified using `ascii`:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"from time import sleep\n",
|
||
"\n",
|
||
"class TqdmExtraFormat(tqdm):\n",
|
||
" \"\"\"Provides a `total_time` format parameter\"\"\"\n",
|
||
" @property\n",
|
||
" def format_dict(self):\n",
|
||
" d = super(TqdmExtraFormat, self).format_dict\n",
|
||
" total_time = d[\"elapsed\"] * (d[\"total\"] or 0) / max(d[\"n\"], 1)\n",
|
||
" d.update(total_time=self.format_interval(total_time) + \" in total\")\n",
|
||
" return d\n",
|
||
"\n",
|
||
"for i in TqdmExtraFormat(\n",
|
||
" range(9), ascii=\" .oO0\",\n",
|
||
" bar_format=\"{total_time}: {percentage:.0f}%|{bar}{r_bar}\"):\n",
|
||
" if i == 4:\n",
|
||
" break"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Note that `{bar}` also supports a format specifier `[width][type]`.\n",
|
||
"\n",
|
||
"- `width`\n",
|
||
" + unspecified (default): automatic to fill `ncols`\n",
|
||
" + `int >= 0`: fixed width overriding `ncols` logic\n",
|
||
" + `int < 0`: subtract from the automatic default\n",
|
||
"- `type`\n",
|
||
" + `a`: ascii (`ascii=True` override)\n",
|
||
" + `u`: unicode (`ascii=False` override)\n",
|
||
" + `b`: blank (`ascii=\" \"` override)\n",
|
||
"\n",
|
||
"This means a fixed bar with right-justified text may be created by\n",
|
||
"using: `bar_format=\"{l_bar}{bar:10}|{bar:-10b}right-justified\"`"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Nested progress bars\n",
|
||
"\n",
|
||
"`tqdm` supports nested progress bars. Here's an example:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tqdm.auto import trange\n",
|
||
"from time import sleep\n",
|
||
"\n",
|
||
"for i in trange(4, desc='1st loop'):\n",
|
||
" for j in trange(5, desc='2nd loop'):\n",
|
||
" for k in trange(50, desc='3rd loop', leave=False):\n",
|
||
" sleep(0.01)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"On Windows [colorama](https://github.com/tartley/colorama) will be used\n",
|
||
"if available to keep nested bars on their respective lines.\n",
|
||
"\n",
|
||
"For manual control over positioning (e.g. for multi-processing use),\n",
|
||
"you may specify `position=n` where `n=0` for the outermost bar, `n=1`\n",
|
||
"for the next, and so on. However, it's best to check if tqdm can work\n",
|
||
"without manual position first.\n",
|
||
"\n",
|
||
"```python\n",
|
||
"from time import sleep\n",
|
||
"from tqdm import trange, tqdm\n",
|
||
"from multiprocessing import Pool, RLock, freeze_support\n",
|
||
"\n",
|
||
"L = list(range(9))\n",
|
||
"\n",
|
||
"def progresser(n):\n",
|
||
" interval = 0.001 / (n + 2)\n",
|
||
" total = 5000\n",
|
||
" text = \"#{}, est. {:<04.2}s\".format(n, interval * total)\n",
|
||
" for _ in trange(total, desc=text, position=n):\n",
|
||
" sleep(interval)\n",
|
||
"\n",
|
||
"if __name__ == '__main__':\n",
|
||
" freeze_support() # for Windows support\n",
|
||
" tqdm.set_lock(RLock()) # for managing output contention\n",
|
||
" p = Pool(initializer=tqdm.set_lock, initargs=(tqdm.get_lock(),))\n",
|
||
" p.map(progresser, L)\n",
|
||
"```\n",
|
||
"\n",
|
||
"Note that in Python 3, `tqdm.write` is thread-safe:\n",
|
||
"\n",
|
||
"```python\n",
|
||
"from time import sleep\n",
|
||
"from tqdm import tqdm, trange\n",
|
||
"from concurrent.futures import ThreadPoolExecutor\n",
|
||
"\n",
|
||
"L = list(range(9))\n",
|
||
"\n",
|
||
"def progresser(n):\n",
|
||
" interval = 0.001 / (n + 2)\n",
|
||
" total = 5000\n",
|
||
" text = \"#{}, est. {:<04.2}s\".format(n, interval * total)\n",
|
||
" for _ in trange(total, desc=text):\n",
|
||
" sleep(interval).auto\n",
|
||
" if n == 6:\n",
|
||
" tqdm.write(\"n == 6 completed.\")\n",
|
||
" tqdm.write(\"`tqdm.write()` is thread-safe in py3!\")\n",
|
||
"\n",
|
||
"if __name__ == '__main__':\n",
|
||
" with ThreadPoolExecutor() as p:\n",
|
||
" p.map(progresser, L)\n",
|
||
"```"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Hooks and callbacks\n",
|
||
"\n",
|
||
"`tqdm` can easily support callbacks/hooks and manual updates.\n",
|
||
"Here's an example with `urllib`:\n",
|
||
"\n",
|
||
"**`urllib.urlretrieve` documentation**\n",
|
||
"\n",
|
||
"> [...]\n",
|
||
"> If present, the hook function will be called once\n",
|
||
"> on establishment of the network connection and once after each block read\n",
|
||
"> thereafter. The hook will be passed three arguments; a count of blocks\n",
|
||
"> transferred so far, a block size in bytes, and the total size of the file.\n",
|
||
"> [...]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"matryoshka.zip: 100%|██████████| 262k/262k [00:02<00:00, 87.9kB/s] \n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import urllib, os\n",
|
||
"from tqdm import tqdm\n",
|
||
"\n",
|
||
"class TqdmUpTo(tqdm):\n",
|
||
" \"\"\"Provides `update_to(n)` which uses `tqdm.update(delta_n)`.\"\"\"\n",
|
||
" def update_to(self, b=1, bsize=1, tsize=None):\n",
|
||
" \"\"\"\n",
|
||
" b : int, optional\n",
|
||
" Number of blocks transferred so far [default: 1].\n",
|
||
" bsize : int, optional\n",
|
||
" Size of each block (in tqdm units) [default: 1].\n",
|
||
" tsize : int, optional\n",
|
||
" Total size (in tqdm units). If [default: None] remains unchanged.\n",
|
||
" \"\"\"\n",
|
||
" if tsize is not None:\n",
|
||
" self.total = tsize\n",
|
||
" return self.update(b * bsize - self.n) # also sets self.n = b * bsize\n",
|
||
"\n",
|
||
"eg_link = \"https://caspersci.uk.to/matryoshka.zip\"\n",
|
||
"with TqdmUpTo(unit='B', unit_scale=True, unit_divisor=1024, miniters=1,\n",
|
||
" desc=eg_link.split('/')[-1]) as t: # all optional kwargs\n",
|
||
" urllib.urlretrieve(eg_link, filename=os.devnull,\n",
|
||
" reporthook=t.update_to, data=None)\n",
|
||
" t.total = t.n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Inspired by [twine#242](https://github.com/pypa/twine/pull/242).\n",
|
||
"Functional alternative in\n",
|
||
"[examples/tqdm_wget.py](https://github.com/tqdm/tqdm/blob/master/examples/tqdm_wget.py).\n",
|
||
"\n",
|
||
"It is recommend to use `miniters=1` whenever there is potentially large\n",
|
||
"differences in iteration speed (e.g. downloading a file over a patchy\n",
|
||
"connection).\n",
|
||
"\n",
|
||
"**Wrapping read/write methods**\n",
|
||
"\n",
|
||
"To measure throughput through a file-like object's `read` or `write`\n",
|
||
"methods, use `CallbackIOWrapper`:\n",
|
||
"\n",
|
||
"```python\n",
|
||
"from tqdm import tqdm\n",
|
||
"from tqdm.utils import CallbackIOWrapper\n",
|
||
"\n",
|
||
"with tqdm(total=file_obj.size,\n",
|
||
" unit='B', unit_scale=True, unit_divisor=1024) as t:\n",
|
||
" fobj = CallbackIOWrapper(t.update, file_obj, \"read\")\n",
|
||
" while True:\n",
|
||
" chunk = fobj.read(chunk_size)\n",
|
||
" if not chunk:\n",
|
||
" break\n",
|
||
" t.reset()\n",
|
||
" # ... continue to use `t` for something else\n",
|
||
"```\n",
|
||
"\n",
|
||
"Alternatively, use the even simpler `wrapattr` convenience function,\n",
|
||
"which would condense both the `urllib` and `CallbackIOWrapper` examples\n",
|
||
"down to:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"matryoshka.zip: 254kB [00:00, 334kB/s] \n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import urllib, os\n",
|
||
"from tqdm import tqdm\n",
|
||
"\n",
|
||
"eg_link = \"https://caspersci.uk.to/matryoshka.zip\"\n",
|
||
"with tqdm.wrapattr(open(os.devnull, \"wb\"), \"write\",\n",
|
||
" miniters=1, desc=eg_link.split('/')[-1]) as fout:\n",
|
||
" for chunk in urllib.urlopen(eg_link):\n",
|
||
" fout.write(chunk)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"The `requests` equivalent is nearly identical, albeit with a `total`:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"matryoshka.zip: 254kB [00:00, 460kB/s] \n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import requests, os\n",
|
||
"from tqdm import tqdm\n",
|
||
"\n",
|
||
"eg_link = \"https://caspersci.uk.to/matryoshka.zip\"\n",
|
||
"response = requests.get(eg_link, stream=True)\n",
|
||
"with tqdm.wrapattr(open(os.devnull, \"wb\"), \"write\",\n",
|
||
" miniters=1, desc=eg_link.split('/')[-1],\n",
|
||
" total=int(response.headers.get('content-length', 0))) as fout:\n",
|
||
" for chunk in response.iter_content(chunk_size=4096):\n",
|
||
" fout.write(chunk)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Pandas Integration\n",
|
||
"\n",
|
||
"Due to popular demand we've added support for `pandas` -- here's an example\n",
|
||
"for `DataFrame.progress_apply` and `DataFrameGroupBy.progress_apply`:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"my bar!: 100%|██████████| 6/6 [00:00<00:00, 193.96it/s]\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>0</th>\n",
|
||
" <th>1</th>\n",
|
||
" <th>2</th>\n",
|
||
" <th>3</th>\n",
|
||
" <th>4</th>\n",
|
||
" <th>5</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1296</td>\n",
|
||
" <td>1156</td>\n",
|
||
" <td>961</td>\n",
|
||
" <td>576</td>\n",
|
||
" <td>6889</td>\n",
|
||
" <td>7921</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>225</td>\n",
|
||
" <td>3844</td>\n",
|
||
" <td>8649</td>\n",
|
||
" <td>121</td>\n",
|
||
" <td>8281</td>\n",
|
||
" <td>4624</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>729</td>\n",
|
||
" <td>9025</td>\n",
|
||
" <td>4225</td>\n",
|
||
" <td>1024</td>\n",
|
||
" <td>8836</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>25</td>\n",
|
||
" <td>729</td>\n",
|
||
" <td>1936</td>\n",
|
||
" <td>6724</td>\n",
|
||
" <td>4900</td>\n",
|
||
" <td>3721</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>7225</td>\n",
|
||
" <td>1156</td>\n",
|
||
" <td>64</td>\n",
|
||
" <td>9604</td>\n",
|
||
" <td>441</td>\n",
|
||
" <td>961</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>5184</td>\n",
|
||
" <td>441</td>\n",
|
||
" <td>2500</td>\n",
|
||
" <td>5041</td>\n",
|
||
" <td>1936</td>\n",
|
||
" <td>5041</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>289</td>\n",
|
||
" <td>8281</td>\n",
|
||
" <td>8464</td>\n",
|
||
" <td>1089</td>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>25</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>7225</td>\n",
|
||
" <td>1600</td>\n",
|
||
" <td>5625</td>\n",
|
||
" <td>5625</td>\n",
|
||
" <td>3364</td>\n",
|
||
" <td>7396</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>4489</td>\n",
|
||
" <td>2704</td>\n",
|
||
" <td>400</td>\n",
|
||
" <td>6724</td>\n",
|
||
" <td>3364</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>6400</td>\n",
|
||
" <td>7396</td>\n",
|
||
" <td>4225</td>\n",
|
||
" <td>49</td>\n",
|
||
" <td>7921</td>\n",
|
||
" <td>4761</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>64</td>\n",
|
||
" <td>256</td>\n",
|
||
" <td>4356</td>\n",
|
||
" <td>8100</td>\n",
|
||
" <td>4761</td>\n",
|
||
" <td>4761</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>3600</td>\n",
|
||
" <td>729</td>\n",
|
||
" <td>4624</td>\n",
|
||
" <td>2500</td>\n",
|
||
" <td>25</td>\n",
|
||
" <td>441</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>5476</td>\n",
|
||
" <td>5329</td>\n",
|
||
" <td>6084</td>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>3844</td>\n",
|
||
" <td>7396</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>16</td>\n",
|
||
" <td>6889</td>\n",
|
||
" <td>400</td>\n",
|
||
" <td>484</td>\n",
|
||
" <td>1225</td>\n",
|
||
" <td>169</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>2209</td>\n",
|
||
" <td>9801</td>\n",
|
||
" <td>324</td>\n",
|
||
" <td>4900</td>\n",
|
||
" <td>4096</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>8649</td>\n",
|
||
" <td>6400</td>\n",
|
||
" <td>1936</td>\n",
|
||
" <td>3600</td>\n",
|
||
" <td>4900</td>\n",
|
||
" <td>2116</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>16</th>\n",
|
||
" <td>4356</td>\n",
|
||
" <td>3481</td>\n",
|
||
" <td>5476</td>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>9216</td>\n",
|
||
" <td>16</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17</th>\n",
|
||
" <td>961</td>\n",
|
||
" <td>196</td>\n",
|
||
" <td>4096</td>\n",
|
||
" <td>5476</td>\n",
|
||
" <td>8649</td>\n",
|
||
" <td>6724</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>18</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>4900</td>\n",
|
||
" <td>1156</td>\n",
|
||
" <td>2025</td>\n",
|
||
" <td>2916</td>\n",
|
||
" <td>1521</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>19</th>\n",
|
||
" <td>6889</td>\n",
|
||
" <td>2809</td>\n",
|
||
" <td>9409</td>\n",
|
||
" <td>3249</td>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>784</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>20</th>\n",
|
||
" <td>2116</td>\n",
|
||
" <td>49</td>\n",
|
||
" <td>225</td>\n",
|
||
" <td>81</td>\n",
|
||
" <td>8649</td>\n",
|
||
" <td>289</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>2500</td>\n",
|
||
" <td>25</td>\n",
|
||
" <td>441</td>\n",
|
||
" <td>9025</td>\n",
|
||
" <td>6561</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>22</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>4489</td>\n",
|
||
" <td>3136</td>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>3249</td>\n",
|
||
" <td>2116</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>23</th>\n",
|
||
" <td>5476</td>\n",
|
||
" <td>2116</td>\n",
|
||
" <td>9025</td>\n",
|
||
" <td>4096</td>\n",
|
||
" <td>1764</td>\n",
|
||
" <td>16</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>24</th>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>961</td>\n",
|
||
" <td>3249</td>\n",
|
||
" <td>7056</td>\n",
|
||
" <td>3136</td>\n",
|
||
" <td>676</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>2809</td>\n",
|
||
" <td>7744</td>\n",
|
||
" <td>1089</td>\n",
|
||
" <td>6724</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>961</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>26</th>\n",
|
||
" <td>225</td>\n",
|
||
" <td>400</td>\n",
|
||
" <td>7396</td>\n",
|
||
" <td>3721</td>\n",
|
||
" <td>784</td>\n",
|
||
" <td>7744</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>27</th>\n",
|
||
" <td>81</td>\n",
|
||
" <td>100</td>\n",
|
||
" <td>400</td>\n",
|
||
" <td>8836</td>\n",
|
||
" <td>2601</td>\n",
|
||
" <td>1600</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>28</th>\n",
|
||
" <td>441</td>\n",
|
||
" <td>144</td>\n",
|
||
" <td>2704</td>\n",
|
||
" <td>1369</td>\n",
|
||
" <td>289</td>\n",
|
||
" <td>8281</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>29</th>\n",
|
||
" <td>625</td>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>8836</td>\n",
|
||
" <td>64</td>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>9409</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99970</th>\n",
|
||
" <td>9216</td>\n",
|
||
" <td>8100</td>\n",
|
||
" <td>1369</td>\n",
|
||
" <td>529</td>\n",
|
||
" <td>625</td>\n",
|
||
" <td>7921</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99971</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>5184</td>\n",
|
||
" <td>3364</td>\n",
|
||
" <td>4356</td>\n",
|
||
" <td>5625</td>\n",
|
||
" <td>9604</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99972</th>\n",
|
||
" <td>484</td>\n",
|
||
" <td>6889</td>\n",
|
||
" <td>900</td>\n",
|
||
" <td>36</td>\n",
|
||
" <td>1444</td>\n",
|
||
" <td>3364</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99973</th>\n",
|
||
" <td>7744</td>\n",
|
||
" <td>3844</td>\n",
|
||
" <td>4489</td>\n",
|
||
" <td>5776</td>\n",
|
||
" <td>289</td>\n",
|
||
" <td>1225</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99974</th>\n",
|
||
" <td>1225</td>\n",
|
||
" <td>4489</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>2916</td>\n",
|
||
" <td>1369</td>\n",
|
||
" <td>100</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99975</th>\n",
|
||
" <td>1849</td>\n",
|
||
" <td>4356</td>\n",
|
||
" <td>169</td>\n",
|
||
" <td>2025</td>\n",
|
||
" <td>2704</td>\n",
|
||
" <td>7744</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99976</th>\n",
|
||
" <td>5929</td>\n",
|
||
" <td>7396</td>\n",
|
||
" <td>841</td>\n",
|
||
" <td>441</td>\n",
|
||
" <td>225</td>\n",
|
||
" <td>7056</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99977</th>\n",
|
||
" <td>676</td>\n",
|
||
" <td>7056</td>\n",
|
||
" <td>529</td>\n",
|
||
" <td>100</td>\n",
|
||
" <td>16</td>\n",
|
||
" <td>484</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99978</th>\n",
|
||
" <td>841</td>\n",
|
||
" <td>5476</td>\n",
|
||
" <td>8100</td>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>6400</td>\n",
|
||
" <td>1156</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99979</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>7921</td>\n",
|
||
" <td>1225</td>\n",
|
||
" <td>5476</td>\n",
|
||
" <td>3844</td>\n",
|
||
" <td>7396</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99980</th>\n",
|
||
" <td>6241</td>\n",
|
||
" <td>1444</td>\n",
|
||
" <td>8281</td>\n",
|
||
" <td>1849</td>\n",
|
||
" <td>5625</td>\n",
|
||
" <td>3721</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99981</th>\n",
|
||
" <td>2401</td>\n",
|
||
" <td>121</td>\n",
|
||
" <td>169</td>\n",
|
||
" <td>49</td>\n",
|
||
" <td>2916</td>\n",
|
||
" <td>1296</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99982</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1764</td>\n",
|
||
" <td>441</td>\n",
|
||
" <td>8836</td>\n",
|
||
" <td>6561</td>\n",
|
||
" <td>169</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99983</th>\n",
|
||
" <td>1444</td>\n",
|
||
" <td>3600</td>\n",
|
||
" <td>9025</td>\n",
|
||
" <td>8281</td>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>1444</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99984</th>\n",
|
||
" <td>5776</td>\n",
|
||
" <td>1600</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>9409</td>\n",
|
||
" <td>961</td>\n",
|
||
" <td>3249</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99985</th>\n",
|
||
" <td>2916</td>\n",
|
||
" <td>4356</td>\n",
|
||
" <td>64</td>\n",
|
||
" <td>1681</td>\n",
|
||
" <td>49</td>\n",
|
||
" <td>1936</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99986</th>\n",
|
||
" <td>5929</td>\n",
|
||
" <td>1089</td>\n",
|
||
" <td>169</td>\n",
|
||
" <td>4225</td>\n",
|
||
" <td>4225</td>\n",
|
||
" <td>1296</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99987</th>\n",
|
||
" <td>3481</td>\n",
|
||
" <td>2116</td>\n",
|
||
" <td>5041</td>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>6724</td>\n",
|
||
" <td>25</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99988</th>\n",
|
||
" <td>3136</td>\n",
|
||
" <td>4225</td>\n",
|
||
" <td>676</td>\n",
|
||
" <td>484</td>\n",
|
||
" <td>961</td>\n",
|
||
" <td>4624</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99989</th>\n",
|
||
" <td>2500</td>\n",
|
||
" <td>7056</td>\n",
|
||
" <td>900</td>\n",
|
||
" <td>4096</td>\n",
|
||
" <td>3844</td>\n",
|
||
" <td>8100</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99990</th>\n",
|
||
" <td>784</td>\n",
|
||
" <td>900</td>\n",
|
||
" <td>2916</td>\n",
|
||
" <td>4356</td>\n",
|
||
" <td>7396</td>\n",
|
||
" <td>2916</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99991</th>\n",
|
||
" <td>3721</td>\n",
|
||
" <td>1764</td>\n",
|
||
" <td>16</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>5929</td>\n",
|
||
" <td>4900</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99992</th>\n",
|
||
" <td>64</td>\n",
|
||
" <td>2809</td>\n",
|
||
" <td>3025</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>5625</td>\n",
|
||
" <td>484</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99993</th>\n",
|
||
" <td>2116</td>\n",
|
||
" <td>1600</td>\n",
|
||
" <td>5929</td>\n",
|
||
" <td>81</td>\n",
|
||
" <td>625</td>\n",
|
||
" <td>441</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99994</th>\n",
|
||
" <td>1521</td>\n",
|
||
" <td>529</td>\n",
|
||
" <td>2025</td>\n",
|
||
" <td>2809</td>\n",
|
||
" <td>3364</td>\n",
|
||
" <td>5929</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99995</th>\n",
|
||
" <td>576</td>\n",
|
||
" <td>1225</td>\n",
|
||
" <td>1764</td>\n",
|
||
" <td>3721</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>144</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99996</th>\n",
|
||
" <td>625</td>\n",
|
||
" <td>5476</td>\n",
|
||
" <td>3364</td>\n",
|
||
" <td>9409</td>\n",
|
||
" <td>100</td>\n",
|
||
" <td>4900</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99997</th>\n",
|
||
" <td>900</td>\n",
|
||
" <td>1444</td>\n",
|
||
" <td>1521</td>\n",
|
||
" <td>676</td>\n",
|
||
" <td>49</td>\n",
|
||
" <td>7056</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99998</th>\n",
|
||
" <td>6084</td>\n",
|
||
" <td>36</td>\n",
|
||
" <td>289</td>\n",
|
||
" <td>6561</td>\n",
|
||
" <td>7921</td>\n",
|
||
" <td>256</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99999</th>\n",
|
||
" <td>1089</td>\n",
|
||
" <td>784</td>\n",
|
||
" <td>3969</td>\n",
|
||
" <td>2500</td>\n",
|
||
" <td>2401</td>\n",
|
||
" <td>2500</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>100000 rows × 6 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" 0 1 2 3 4 5\n",
|
||
"0 1296 1156 961 576 6889 7921\n",
|
||
"1 225 3844 8649 121 8281 4624\n",
|
||
"2 3025 729 9025 4225 1024 8836\n",
|
||
"3 25 729 1936 6724 4900 3721\n",
|
||
"4 7225 1156 64 9604 441 961\n",
|
||
"5 5184 441 2500 5041 1936 5041\n",
|
||
"6 289 8281 8464 1089 7569 25\n",
|
||
"7 7225 1600 5625 5625 3364 7396\n",
|
||
"8 3025 4489 2704 400 6724 3364\n",
|
||
"9 6400 7396 4225 49 7921 4761\n",
|
||
"10 64 256 4356 8100 4761 4761\n",
|
||
"11 3600 729 4624 2500 25 441\n",
|
||
"12 5476 5329 6084 3025 3844 7396\n",
|
||
"13 16 6889 400 484 1225 169\n",
|
||
"14 3025 2209 9801 324 4900 4096\n",
|
||
"15 8649 6400 1936 3600 4900 2116\n",
|
||
"16 4356 3481 5476 7569 9216 16\n",
|
||
"17 961 196 4096 5476 8649 6724\n",
|
||
"18 1 4900 1156 2025 2916 1521\n",
|
||
"19 6889 2809 9409 3249 7569 784\n",
|
||
"20 2116 49 225 81 8649 289\n",
|
||
"21 7569 2500 25 441 9025 6561\n",
|
||
"22 1 4489 3136 3025 3249 2116\n",
|
||
"23 5476 2116 9025 4096 1764 16\n",
|
||
"24 3025 961 3249 7056 3136 676\n",
|
||
"25 2809 7744 1089 6724 0 961\n",
|
||
"26 225 400 7396 3721 784 7744\n",
|
||
"27 81 100 400 8836 2601 1600\n",
|
||
"28 441 144 2704 1369 289 8281\n",
|
||
"29 625 3025 8836 64 3025 9409\n",
|
||
"... ... ... ... ... ... ...\n",
|
||
"99970 9216 8100 1369 529 625 7921\n",
|
||
"99971 4 5184 3364 4356 5625 9604\n",
|
||
"99972 484 6889 900 36 1444 3364\n",
|
||
"99973 7744 3844 4489 5776 289 1225\n",
|
||
"99974 1225 4489 9 2916 1369 100\n",
|
||
"99975 1849 4356 169 2025 2704 7744\n",
|
||
"99976 5929 7396 841 441 225 7056\n",
|
||
"99977 676 7056 529 100 16 484\n",
|
||
"99978 841 5476 8100 7569 6400 1156\n",
|
||
"99979 4 7921 1225 5476 3844 7396\n",
|
||
"99980 6241 1444 8281 1849 5625 3721\n",
|
||
"99981 2401 121 169 49 2916 1296\n",
|
||
"99982 1 1764 441 8836 6561 169\n",
|
||
"99983 1444 3600 9025 8281 7569 1444\n",
|
||
"99984 5776 1600 9 9409 961 3249\n",
|
||
"99985 2916 4356 64 1681 49 1936\n",
|
||
"99986 5929 1089 169 4225 4225 1296\n",
|
||
"99987 3481 2116 5041 7569 6724 25\n",
|
||
"99988 3136 4225 676 484 961 4624\n",
|
||
"99989 2500 7056 900 4096 3844 8100\n",
|
||
"99990 784 900 2916 4356 7396 2916\n",
|
||
"99991 3721 1764 16 9 5929 4900\n",
|
||
"99992 64 2809 3025 9 5625 484\n",
|
||
"99993 2116 1600 5929 81 625 441\n",
|
||
"99994 1521 529 2025 2809 3364 5929\n",
|
||
"99995 576 1225 1764 3721 0 144\n",
|
||
"99996 625 5476 3364 9409 100 4900\n",
|
||
"99997 900 1444 1521 676 49 7056\n",
|
||
"99998 6084 36 289 6561 7921 256\n",
|
||
"99999 1089 784 3969 2500 2401 2500\n",
|
||
"\n",
|
||
"[100000 rows x 6 columns]"
|
||
]
|
||
},
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import numpy as np\n",
|
||
"from tqdm import tqdm\n",
|
||
"\n",
|
||
"df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))\n",
|
||
"\n",
|
||
"# Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm`\n",
|
||
"# (can use `tqdm.gui.tqdm`, `tqdm.notebook.tqdm`, optional kwargs, etc.)\n",
|
||
"tqdm.pandas(desc=\"my bar!\")\n",
|
||
"\n",
|
||
"# Now you can use `progress_apply` instead of `apply`\n",
|
||
"# and `progress_map` instead of `map`\n",
|
||
"df.progress_apply(lambda x: x**2)\n",
|
||
"# can also groupby:\n",
|
||
"# df.groupby(0).progress_apply(lambda x: x**2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"In case you're interested in how this works (and how to modify it for\n",
|
||
"your own callbacks), see the\n",
|
||
"[examples](https://github.com/tqdm/tqdm/tree/master/examples) folder or\n",
|
||
"import the module and run `help()`.\n",
|
||
"\n",
|
||
"### Keras Integration\n",
|
||
"\n",
|
||
"```python\n",
|
||
"A `keras` callback is also available:\n",
|
||
"\n",
|
||
"from tqdm.keras import TqdmCallback\n",
|
||
"\n",
|
||
"...\n",
|
||
"\n",
|
||
"model.fit(..., verbose=0, callbacks=[TqdmCallback()])\n",
|
||
"```\n",
|
||
"\n",
|
||
"### IPython/Jupyter Integration\n",
|
||
"\n",
|
||
"IPython/Jupyter is supported via the `tqdm.notebook` submodule:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tqdm.notebook import trange, tqdm\n",
|
||
"from time import sleep\n",
|
||
"\n",
|
||
"for i in trange(3, desc='1st loop'):\n",
|
||
" for j in tqdm(range(100), desc='2nd loop'):\n",
|
||
" sleep(0.01)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"In addition to `tqdm` features, the submodule provides a native Jupyter\n",
|
||
"widget (compatible with IPython v1-v4 and Jupyter), fully working nested\n",
|
||
"bars and colour hints (blue: normal, green: completed, red:\n",
|
||
"error/interrupt, light blue: no ETA); as demonstrated below.\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"The `notebook` version supports percentage or pixels for overall width\n",
|
||
"(e.g.: `ncols='100%'` or `ncols='480px'`).\n",
|
||
"\n",
|
||
"It is also possible to let `tqdm` automatically choose between console\n",
|
||
"or notebook versions by using the `autonotebook` submodule:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tqdm.autonotebook import tqdm\n",
|
||
"tqdm.pandas()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Note that this will issue a `TqdmExperimentalWarning` if run in a\n",
|
||
"notebook since it is not meant to be possible to distinguish between\n",
|
||
"`jupyter notebook` and `jupyter console`. Use `auto` instead of\n",
|
||
"`autonotebook` to suppress this warning.\n",
|
||
"\n",
|
||
"Note that notebooks will display the bar in the cell where it was\n",
|
||
"created. This may be a different cell from the one where it is used. If\n",
|
||
"this is not desired, the creation of the bar must be delayed/moved to\n",
|
||
"the cell where it is desired to be displayed.\n",
|
||
"\n",
|
||
"Another possibility is to have a single bar (near the top of the\n",
|
||
"notebook) which is constantly re-used (using `reset()` rather than\n",
|
||
"`close()`). For this reason, the notebook version (unlike the CLI\n",
|
||
"version) does not automatically call `close()` upon `Exception`."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tqdm.notebook import tqdm\n",
|
||
"pbar = tqdm()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# different cell\n",
|
||
"iterable = range(100)\n",
|
||
"pbar.reset(total=len(iterable)) # initialise with new `total`\n",
|
||
"for i in iterable:\n",
|
||
" pbar.update()\n",
|
||
"pbar.refresh() # force print final status but don't `close()`"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Writing messages\n",
|
||
"\n",
|
||
"This is a work in progress (see\n",
|
||
"[#737](https://github.com/tqdm/tqdm/issues/737)).\n",
|
||
"\n",
|
||
"Since `tqdm` uses a simple printing mechanism to display progress bars,\n",
|
||
"you should not write any message in the terminal using `print()` while a\n",
|
||
"progressbar is open.\n",
|
||
"\n",
|
||
"To write messages in the terminal without any collision with `tqdm` bar\n",
|
||
"display, a `.write()` method is provided:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from tqdm.auto import tqdm, trange\n",
|
||
"from time import sleep\n",
|
||
"\n",
|
||
"bar = trange(10)\n",
|
||
"for i in bar:\n",
|
||
" # Print using tqdm class method .write()\n",
|
||
" sleep(0.1)\n",
|
||
" if not (i % 3):\n",
|
||
" tqdm.write(\"Done task %i\" % i)\n",
|
||
" # Can also use bar.write()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"By default, this will print to standard output `sys.stdout`. but you can\n",
|
||
"specify any file-like object using the `file` argument. For example,\n",
|
||
"this can be used to redirect the messages writing to a log file or class.\n",
|
||
"\n",
|
||
"---\n",
|
||
"\n",
|
||
"[](https://sourcerer.io/fame/casperdcl/tqdm/tqdm/links/0)|[](https://sourcerer.io/fame/casperdcl/tqdm/tqdm/links/1)|[](https://sourcerer.io/fame/casperdcl/tqdm/tqdm/links/2)|[](https://sourcerer.io/fame/casperdcl/tqdm/tqdm/links/3)|[](https://sourcerer.io/fame/casperdcl/tqdm/tqdm/links/4)|[](https://sourcerer.io/fame/casperdcl/tqdm/tqdm/links/5)|[](https://sourcerer.io/fame/casperdcl/tqdm/tqdm/links/7)\n",
|
||
"-|-|-|-|-|-|-\n",
|
||
"\n",
|
||
"[](https://caspersci.uk.to/cgi-bin/hits.cgi?q=tqdm&a=plot&r=https://github.com/tqdm/tqdm&l=https://caspersci.uk.to/images/tqdm.png&f=https://raw.githubusercontent.com/tqdm/tqdm/master/images/logo.gif&style=social)|(Since 19 May 2016)\n",
|
||
"-|-"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Do your own experiments here 👇\n",
|
||
"\n",
|
||
"Try `tqdm` youself by adding your code below and running your own experiments."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import tqdm\n",
|
||
"\n",
|
||
"# your code here\n",
|
||
"tqdm."
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 2",
|
||
"language": "python",
|
||
"name": "python2"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 2
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython2",
|
||
"version": "2.7.15"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|