# obspy.core.inventory.network.Network.plot

`Network.``plot`(projection='global', resolution='l', continent_fill_color='0.9', water_fill_color='1.0', marker='v', size=225, label=True, color='#b15928', time=None, show=True, outfile=None, method=None, fig=None, **kwargs)

  Creates a preview map of all stations in current network object.

  Parameters: | projection (str, optional) The map projection. Currently supported are: `"global"` (Will plot the whole world.) `"ortho"` (Will center around the mean lat/long.) `"local"` (Will plot around local events) Defaults to “global” resolution (str, optional) Resolution of the boundary database to use. Will be based directly to the basemap module. Possible values are: `"c"` (crude) `"l"` (low) `"i"` (intermediate) `"h"` (high) `"f"` (full) Defaults to `"l"` continent_fill_color (Valid matplotlib color, optional) Color of the continents. Defaults to `"0.9"` which is a light gray. water_fill_color (Valid matplotlib color, optional) Color of all water bodies. Defaults to `"white"`. marker (str) Marker symbol (see `matplotlib.pyplot.scatter()`). label (bool) Whether to label stations with “network.station” or not. color (str) Face color of marker symbol (see `matplotlib.pyplot.scatter()`). Defaults to the first color from the single-element “Paired” color map. time (`UTCDateTime`) Only plot stations available at given point in time. show (bool) Whether to show the figure after plotting or not. Can be used to do further customization of the plot before showing it. outfile (str) Output file path to directly save the resulting image (e.g. `"/tmp/image.png"`). Overrides the `show` option, image will not be displayed interactively. The given path/file name is also used to automatically determine the output format. Supported file formats depend on your matplotlib backend. Most backends support png, pdf, ps, eps and svg. Defaults to `None`. method (str) Method to use for plotting. Possible values are: `'basemap'` to use the Basemap library `'cartopy'` to use the Cartopy library `None` to use the best available library Defaults to `None`. fig (`matplotlib.figure.Figure`) Figure instance to reuse, returned from a previous inventory/catalog plot call with method=basemap. If a previous basemap plot is reused, any kwargs regarding the basemap plot setup will be ignored (i.e. projection, resolution, continent_fill_color, water_fill_color). Note that multiple plots using colorbars likely are problematic, but e.g. one station plot (without colorbar) and one event plot (with colorbar) together should work well.
  Returns: | Figure instance with the plot.

  Example

  Mollweide projection for global overview:

      >>> from obspy import read_inventory
      >>> net = read_inventory()[0]
      >>> net.plot(label=False)

  (Source code, png, hires.png)

  Orthographic projection:

      >>> net.plot(projection="ortho")

  (Source code, png, hires.png)

  Local (Albers equal area) projection:

      >>> net.plot(projection="local")

  (Source code, png, hires.png)

### Thank you!

We would like to thank our contributors, whose efforts make this software what it is. These people have helped by writing code and documentation, and by testing. They have created and maintained this product, its associated libraries and applications, our build tools and our web sites.

#### Contributors

- Ackerley, Nick
- Allgeyer, Sebastien
- Ammon, Charles J.
- Antunes, Emanuel
- Arnarsson, Ólafur St.
- Bank, Markus
- Barsch, Robert
- Behr, Yannik
- Bernardi, Fabrizio
- Bernauer, Felix
- Bes de Berc, Maxime
- Beyreuther, Moritz
- Boltz, Shawn
- Bonaimé, Sébastien
- Carothers, Lloyd
- Chamberlain, Calum
- Chambers, Derrick
- Chen, Zhao
- Clark, Adam
- Danecek, Peter
- Egdorf, Sven
- Engels, Fabian
- Ermert, Laura
- Eulenfeld, Tom

- Fabbri, Tommaso
- Falco, Nicholas
- Fee, Jeremy
- Grellier, Clément
- Grunberg, Marc
- Hammer, Conny
- Heimann, Sebastian
- Heiniger, Lukas
- Hope, Gaute
- Igel, Heiner
- Inza, Adolfo
- Isken, Marius
- Ketchum, David
- Koymans, Mathijs
- Kremers, Simon
- Kress, Victor
- Krieger, Lars
- Krischer, Lion
- Kula, Damian
- Käufl, Paul
- Köhler, Andreas
- Lecocq, Thomas
- Leeman, John
- Legovini, Paride

- Lesage, Philippe
- Li, Yulin
- Lomax, Anthony
- Lopes, Rui L.
- MacCarthy, Jonathan
- Maggi, Alessia
- Martin, Henri
- Medlin, Andrew
- Megies, Tobias
- Meschede, Matthias
- Michelini, Alberto
- Miller, Nathaniel C.
- Morgenstern, Bernhard
- Nof, Ran Novitsky
- Panning, Mark P.
- Parker, Tom
- Pestourie, Romain
- Rapagnani, Giovanni
- Reyes, Celso
- Ringler, Adam
- Rothenhäusler, Nicolas
- Russo, Emiliano
- Sales de Andrade, Elliott

- Satriano, Claudio
- Saul, Joachim
- Scheingraber, Chris
- Schneider, Simon
- Sippl, Christian
- Snoke, Arthur
- Stange, Stefan
- Stähler, Simon C.
- Sullivan, Benjamin
- Tian, Dongdong
- Trabant, Chad
- Trani, Luca
- Uieda, Leonardo
- Walker, Andrew
- Walther, Marcus
- Wassermann, Joachim
- Williams, Mark C.
- Winkelman, Andrew
- Zaccarelli, Riccardo
- Zad, Seyed Kasra Hosseini
- Zhu, Lijun
- van Driel, Martin
- van Wijk, Kasper

#### Funds

ObsPy was partially funded by the

- German Science Foundation (DFG) via grant DFG IG 16/9-1
- German Ministry for Education and Research (BMBF), GEOTECHNOLOGIEN grant 03G0646H.
- NERA project (Network of European Research Infrastructures for Earthquake Risk Assessment and Mitigation) under the European Community's Seventh Framework Programme (FP7/2007-2013) grant agreement n° 262330
- Leibniz Institute for Applied Geophysics (LIAG)
- VERCE EU-FP7 project (no. 283543)