matplotlib.github.com/2.2.4/thirdpartypackages/index.html at main · matplotlib/matplotlib.github.com · GitHub

History

365 lines (341 loc) · 20.6 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

<!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 2.2.4 documentation</title>

type="text/css" />

type="text/css" />

var DOCUMENTATION_OPTIONS = {

URL_ROOT: '../',

VERSION: '2.2.4',

COLLAPSE_INDEX: false,

FILE_SUFFIX: '.html',

HAS_SOURCE: true,

SOURCELINK_SUFFIX: '.txt'

};

</script>

title="Search within Matplotlib 2.2.4 documentation"

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

</head>

<body>

<div id="unreleased-message"> You are reading an old version of the documentation (v2.2.4). For the latest version see <a href="https://matplotlib.org/stable/thirdpartypackages/index.html">https://matplotlib.org/stable/thirdpartypackages/index.html</a></div>

<div style="float: left; position: absolute; width: 496px; bottom: 0; padding-bottom: 24px"><span style="float: right; color: #789; background: white">Version 2.2.4</span></div>

<div id="forkongithub"><a href="https://github.com/matplotlib/matplotlib">Fork me on GitHub</a></div>

</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>

<h3>Quick search</h3>

</form>

</div>

<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>

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

</ul>

</li>

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

<li><a class="reference internal" href="#broken-axes">Broken Axes</a></li>

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

<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="#mpl-scatter-density">mpl-scatter-density</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="#wcsaxes">WCSAxes</a></li>

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

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

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

<div id="sidebar-pagesource" role="note" aria-label="source link"

style="margin-top: 1.5em; padding-top: 0.1em; border-top: 1px solid #86989b">

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

style="color: #c0c0c0" rel="nofollow">Show Page Source</a>

</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>

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

<p><a class="reference external" href="https://plotnine.readthedocs.io/en/stable/">plotnine</a> implements a grammar

of graphics, similar to R's <a class="reference external" href="https://ggplot2.tidyverse.org/">ggplot2</a>. The grammar allows

users to compose plots by explicitly mapping data to the visual objects that

make up the plot.</p>

</div>

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

<h3>Broken Axes<a class="headerlink" href="#broken-axes" title="Permalink to this headline">¶</a></h3>

<p><a class="reference external" href="https://github.com/bendichter/brokenaxes">brokenaxes</a> supplies an axes

class that can have a visual break to indicate a discontinuous range.</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>

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

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

</div>

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

<p><a class="reference external" href="https://github.com/astrofrog/mpl-scatter-density">mpl-scatter-density</a> is a

small package that makes it easy to make scatter plots of large numbers

of points using a density map. The following example contains around 13 million

points and the plotting (excluding reading in the data) took less than a

second on an average laptop:</p>

<p>When used in interactive mode, the density map is downsampled on-the-fly while

panning/zooming in order to provide a smooth interactive experience.</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>WCSAxes<a class="headerlink" href="#wcsaxes" title="Permalink to this headline">¶</a></h3>

<p>The <a class="reference external" href="http://www.astropy.org">Astropy</a> core package includes a submodule

called WCSAxes (available at <a class="reference external" href="http://docs.astropy.org/en/stable/visualization/wcsaxes/index.html">astropy.visualization.wcsaxes</a>) which

adds Matplotlib projections for Astronomical image data. The following is an

example of a plot made with WCSAxes which includes the original coordinate

system of the image and an overlay of a different coordinate system:</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>

<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>

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

<p><a class="reference external" href="https://github.com/anntzer/mplcairo">mplcairo</a> is a cairo backend for

Matplotlib, with faster and more accurate marker drawing, support for a wider

selection of font formats and complex text layout, and various other features.</p>

</div>

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

<p><a class="reference external" href="https://austinorr.github.io/mpl-template/index.html">mpl-template</a> provides

a customizable way to add engineering figure elements such as a title block,

border, and logo.</p>

</div>

</div>

<br />

Last updated on Feb 28, 2019.

Created using

<ahref="http://sphinx-doc.org/">Sphinx</a> 1.8.4.

Doc version v2.2.4-2-g38a93e9a0-dirty.

</div>

</body>

</footer>

</html>

matplotlib.github.com/2.2.4/thirdpartypackages/index.html at main · matplotlib/matplotlib.github.com · GitHub

Expand file tree

Breadcrumbs

index.html

Latest commit

History

Breadcrumbs

index.html

File metadata and controls