devdocs/thirdpartypackages/index.html at first_commit · matplotlib/devdocs

History

476 lines (421 loc) · 21.4 KB

Raw

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

327

328

329

330

331

332

333

334

335

336

337

338

339

340

341

342

343

344

345

346

347

348

349

350

351

352

353

354

355

356

357

358

359

360

361

362

363

364

365

366

367

368

369

370

371

372

373

374

375

376

377

378

379

380

381

382

383

384

385

386

387

388

389

390

391

392

393

394

395

396

397

398

399

400

401

402

403

404

405

406

407

408

409

410

411

412

413

414

415

416

417

418

419

420

421

422

423

424

425

426

427

428

429

430

431

432

433

434

435

436

437

438

439

440

441

442

443

444

445

446

447

448

449

450

451

452

453

454

455

456

457

458

459

460

461

462

463

464

465

466

467

468

469

470

471

472

473

474

475

476

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">

<head>

<title>Third party packages — Matplotlib 2.0.2.post4416.dev0+g1df513f documentation</title>

type="text/css" />

type="text/css" />

var DOCUMENTATION_OPTIONS = {

URL_ROOT: '../',

VERSION: '2.0.2.post4416.dev0+g1df513f',

COLLAPSE_INDEX: false,

FILE_SUFFIX: '.html',

HAS_SOURCE: true,

SOURCELINK_SUFFIX: '.txt'

};

</script>

title="Search within Matplotlib 2.0.2.post4416.dev0+g1df513f documentation"

href="../_static/opensearch.xml"/>

</head>

<body>

</map>

</div>

<h3>Navigation</h3>

<ul>

<a href="../genindex.html" title="General Index"

accesskey="I">index</a></li>

<a href="../py-modindex.html" title="Python Module Index"

>modules</a> |</li>

<a href="../api/index.html" title="The Matplotlib API"

accesskey="N">next</a> |</li>

<a href="../resources/index.html" title="External Resources"

accesskey="P">previous</a> |</li>

<li><a href="../gallery/index.html">examples</a>| </li>

<li><a href="../tutorials/index.html">tutorials</a>| </li>

<li><a href="../api/pyplot_summary.html">pyplot</a>| </li>

</ul>

</div>

</a>

<br/>

</a>

<br/>

Travis-CI: <a href="https://travis-ci.org/matplotlib/matplotlib">

</a>

<br/>

<h3><a href="../contents.html">Table Of Contents</a></h3>

<ul>

<li><a class="reference internal" href="#">Third party packages</a><ul>

<li><a class="reference internal" href="#mapping-toolkits">Mapping toolkits</a><ul>

<li><a class="reference internal" href="#basemap">Basemap</a></li>

<li><a class="reference internal" href="#cartopy">Cartopy</a></li>

</ul>

</li>

<li><a class="reference internal" href="#declarative-libraries">Declarative libraries</a><ul>

<li><a class="reference internal" href="#ggplot">ggplot</a></li>

<li><a class="reference internal" href="#holoviews">holoviews</a></li>

</ul>

</li>

<li><a class="reference internal" href="#specialty-plots">Specialty plots</a><ul>

<li><a class="reference internal" href="#matplotlib-venn">Matplotlib-Venn</a></li>

<li><a class="reference internal" href="#mpl-probscale">mpl-probscale</a></li>

<li><a class="reference internal" href="#mplstereonet">mplstereonet</a></li>

<li><a class="reference internal" href="#natgrid">Natgrid</a></li>

<li><a class="reference internal" href="#pyupset">pyUpSet</a></li>

<li><a class="reference internal" href="#seaborn">seaborn</a></li>

<li><a class="reference internal" href="#windrose">Windrose</a></li>

<li><a class="reference internal" href="#decida">DeCiDa</a></li>

</ul>

</li>

<li><a class="reference internal" href="#interactivity">Interactivity</a><ul>

<li><a class="reference internal" href="#mplcursors">mplcursors</a></li>

<li><a class="reference internal" href="#mpldatacursor">MplDataCursor</a></li>

</ul>

</li>

<li><a class="reference internal" href="#miscellaneous">Miscellaneous</a><ul>

<li><a class="reference internal" href="#adjusttext">adjustText</a></li>

<li><a class="reference internal" href="#iterm2-terminal-backend">iTerm2 terminal backend</a></li>

</ul>

</li>

</ul>

</li>

</ul>

<h3>Related Topics</h3>

<ul>

<li><a href="../contents.html">Documentation overview</a><ul>

<li>Previous: <a href="../resources/index.html" title="previous chapter">External Resources</a></li>

<li>Next: <a href="../api/index.html" title="next chapter">The Matplotlib API</a></li>

</ul></li>

</ul>

</div>

<li><a href="../_sources/thirdpartypackages/index.rst.txt"

rel="nofollow">Show Source</a></li>

</ul>

</div>

<h3>Quick search</h3>

</form>

</div>

</div>

<span id="thirdparty-index"></span><h1>Third party packages<a class="headerlink" href="#third-party-packages" title="Permalink to this headline">¶</a></h1>

<p>Several external packages that extend or build on Matplotlib functionality are

listed below. They are maintained and distributed separately from Matplotlib

and thus need to be installed individually.</p>

<p>Please submit an issue or pull request on Github if you have created

a package that you would like to have included. We are also happy to

host third party packages within the <a class="reference external" href="https://github.com/matplotlib">Matplotlib Github Organization</a>.</p>

<h2>Mapping toolkits<a class="headerlink" href="#mapping-toolkits" title="Permalink to this headline">¶</a></h2>

<h3>Basemap<a class="headerlink" href="#basemap" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="http://matplotlib.org/basemap">Basemap</a> plots data on map projections, with

continental and political boundaries.</p>

</div>

<h3>Cartopy<a class="headerlink" href="#cartopy" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="http://scitools.org.uk/cartopy/docs/latest">Cartopy</a> builds on top

of Matplotlib to provide object oriented map projection definitions

and close integration with Shapely for powerful yet easy-to-use vector

data processing tools. An example plot from the <a class="reference external" href="http://scitools.org.uk/cartopy/docs/latest/gallery.html">Cartopy gallery</a>:</p>

</div>

<h2>Declarative libraries<a class="headerlink" href="#declarative-libraries" title="Permalink to this headline">¶</a></h2>

<h3>ggplot<a class="headerlink" href="#ggplot" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/yhat/ggplot">ggplot</a> is a port of the R ggplot2 package

to python based on Matplotlib.</p>

</div>

<h3>holoviews<a class="headerlink" href="#holoviews" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="http://holoviews.org">holoviews</a> makes it easier to visualize data

interactively, especially in a <a class="reference external" href="http://jupyter.org">Jupyter notebook</a>, by

providing a set of declarative plotting objects that store your data and

associated metadata. Your data is then immediately visualizable alongside or

overlaid with other data, either statically or with automatically provided

widgets for parameter exploration.</p>

</div>

<h2>Specialty plots<a class="headerlink" href="#specialty-plots" title="Permalink to this headline">¶</a></h2>

<h3>Matplotlib-Venn<a class="headerlink" href="#matplotlib-venn" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/konstantint/matplotlib-venn">Matplotlib-Venn</a> provides a

set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn

diagrams.</p>

</div>

<h3>mpl-probscale<a class="headerlink" href="#mpl-probscale" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="http://matplotlib.org/mpl-probscale/">mpl-probscale</a> is a small extension

that allows Matplotlib users to specify probabilty scales. Simply importing the

<code class="docutils literal"><span class="pre">probscale</span></code> module registers the scale with Matplotlib, making it accessible

via e.g., <code class="docutils literal"><span class="pre">ax.set_xscale('prob')</span></code> or <code class="docutils literal"><span class="pre">plt.yscale('prob')</span></code>.</p>

</div>

<h3>mplstereonet<a class="headerlink" href="#mplstereonet" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/joferkington/mplstereonet">mplstereonet</a> provides

stereonets for plotting and analyzing orientation data in Matplotlib.</p>

</div>

<h3>Natgrid<a class="headerlink" href="#natgrid" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/matplotlib/natgrid">mpl_toolkits.natgrid</a> is an interface

to the natgrid C library for gridding irregularly spaced data.</p>

</div>

<h3>pyUpSet<a class="headerlink" href="#pyupset" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/ImSoErgodic/py-upset">pyUpSet</a> is a

static Python implementation of the <a class="reference external" href="http://www.caleydo.org/tools/upset/">UpSet suite by Lex et al.</a> to explore complex intersections of

sets and data frames.</p>

</div>

<h3>seaborn<a class="headerlink" href="#seaborn" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="http://seaborn.pydata.org/">seaborn</a> is a high level interface for drawing

statistical graphics with Matplotlib. It aims to make visualization a central

part of exploring and understanding complex datasets.</p>

</div>

<h3>Windrose<a class="headerlink" href="#windrose" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/scls19fr/windrose">Windrose</a> is a Python Matplotlib,

Numpy library to manage wind data, draw windroses (also known as polar rose

plots), draw probability density functions and fit Weibull distributions.</p>

</div>

<h3>DeCiDa<a class="headerlink" href="#decida" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://pypi.python.org/pypi/DeCiDa">DeCiDa</a> is a library of functions

and classes for electron device characterization, electronic circuit design and

general data visualization and analysis.</p>

</div>

<h2>Interactivity<a class="headerlink" href="#interactivity" title="Permalink to this headline">¶</a></h2>

<h3>mplcursors<a class="headerlink" href="#mplcursors" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://mplcursors.readthedocs.io">mplcursors</a> provides interactive data

cursors for Matplotlib.</p>

</div>

<h3>MplDataCursor<a class="headerlink" href="#mpldatacursor" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/joferkington/mpldatacursor">MplDataCursor</a> is a toolkit

written by Joe Kington to provide interactive “data cursors” (clickable

annotation boxes) for Matplotlib.</p>

</div>

<h2>Miscellaneous<a class="headerlink" href="#miscellaneous" title="Permalink to this headline">¶</a></h2>

<h3>adjustText<a class="headerlink" href="#adjusttext" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/Phlya/adjustText">adjustText</a> is a small library for

automatically adjusting text position in Matplotlib plots to minimize overlaps

between them, specified points and other objects.</p>

</div>

<h3>iTerm2 terminal backend<a class="headerlink" href="#iterm2-terminal-backend" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/oselivanov/matplotlib_iterm2">matplotlib_iterm2</a> is an

external Matplotlib backend using the iTerm2 nightly build inline image display

feature.</p>

</div>

</div>

Last updated on Jul 16, 2017.

Created using <a

href="http://sphinx-doc.org/">Sphinx</a> 1.6.2.

</div>

(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){

(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),

m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)

})(window,document,'script','//www.google-analytics.com/analytics.js','ga');

ga('create', 'UA-55954603-1', 'auto');

ga('send', 'pageview');

</script>

</body>

<!--Flipcause Integration v3.0// Flipcause Integration Instructions:

Install the following code block once in the website Header (after <head> tag) -->

<style>

.fc-black_overlay{

display:none; position: fixed; z-index:1000001; top: 0%;left: 0%;width: 100%;height: 100%;

background-color: black; filter: alpha(opacity=50); cursor:pointer; opacity:0.5;

}

.fc-white_content {

opacity:1; display:none; margin-top: -320px; margin-left: -485px; width:970px; height:640px;

position:fixed; top:50%; left:50%; border: none;z-index:1000002;overflow: auto;

}

.fc-main-box{

opacity:1; display:none; margin:15px auto 0 auto; width:930px; position:relative; z-index:1000003;

}

.fc-widget_close{

opacity:1; content:url(http://i1338.photobucket.com/albums/o691/WeCause/X_zpse4a7e538.png);

position:absolute; z-index=1000004; right:-16px; top:-16px; display:block; cursor:pointer;

}

.floating_button{

display: block; margin-top: 0px; margin-left: 0px; width:auto ; height: auto;

position:fixed; z-index:999999; overflow: auto;

}

@keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-moz-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-webkit-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-o-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-ms-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; transform: translateY(20px);}

100% {opacity: 1; transform: translateY(0);}

}

@-moz-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -moz-transform: translateY(20px);}

100% {opacity: 1; -moz-transform: translateY(0);}

}

@-webkit-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -webkit-transform: translateY(20px);}

100% {opacity: 1; -webkit-transform: translateY(0);}

}

@-o-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -o-transform: translateY(20px);}

100% {opacity: 1; -o-transform: translateY(0);}

}

@-ms-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -ms-transform: translateY(20px);}

100% {opacity: 1; -ms-transform: translateY(0);}

}

</style>

function open_window(cause_id) {

var protocol=String(document.location.protocol);

var new_url;

if( /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent)){

new_url="https://www.flipcause.com/widget/"+cause_id

window.open(new_url);

}

else {

document.getElementById("fc-fade").style.display = "block";

document.getElementById("fc-fade").style.webkitAnimation = "backfadesin 1s";

document.getElementById("fc-fade").style.animation = "backfadesin 1s";

document.getElementById("fc-fade").style.mozAnimation = "backfadesin 1s";

document.getElementById("fc-light").style.display = "block";

document.getElementById("fc-light").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-light").style.animation = "fadesin 1.5s";

document.getElementById("fc-light").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-main").style.display = "block";

document.getElementById("fc-main").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-main").style.animation = "fadesin 1.5s";

document.getElementById("fc-main").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-close").style.display = "block";

document.getElementById("fc-close").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-close").style.animation = "fadesin 1.5s";

document.getElementById("fc-close").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-myFrame").style.display = "block";

document.getElementById("fc-myFrame").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-myFrame").style.animation = "fadesin 1.5s";

document.getElementById("fc-myFrame").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-myFrame").src="https://www.flipcause.com/widget/"+cause_id;

}

function close_window() {

document.getElementById("fc-fade").style.display="none";

document.getElementById("fc-light").style.display="none";

document.getElementById("fc-main").style.display="none";

document.getElementById("fc-close").style.display="none";

document.getElementById("fc-myFrame").style.display="none";

}

</script>

</div><iframe id="fc-myFrame" iframe height="580" width="925" style="border: 0;

border-radius:5px 5px 5px 5px; box-shadow:0 0 8px rgba(0, 0, 0, 0.5);" scrolling="no" src=""></iframe></div>

</div>

</footer>

</html>

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

FilesExpand file tree

index.html

Latest commit

History

index.html

File metadata and controls