psyplot.project.plot.mapcombined

plot.mapcombined(*args, **kwargs)

Plot a 2D scalar field with an overlying vector field on a map

This plotting method adds data arrays and plots them via psy_maps.plotters.CombinedPlotter plotters

To plot data from a netCDF file type:

>>> psy.plot.mapcombined(filename, name=[['my_variable', ['u_var', 'v_var']]], ...)

Possible formatoptions are

arrowsize

arrowstyle

background

bounds

cbar

cbarspacing

clabel

clabelprops

clabelsize

clabelweight

clat

clip

clon

cmap

color

cticklabels

ctickprops

cticks

cticksize

ctickweight

datagrid

density

extend

figtitle

figtitleprops

figtitlesize

figtitleweight

grid_color

grid_labels

grid_labelsize

grid_settings

interp_bounds

levels

linewidth

lonlatbox

lsm

map_extent

mask

mask_datagrid

maskbetween

maskgeq

maskgreater

maskleq

maskless

miss_color

plot

post

post_timing

projection

stock_img

text

tight

title

titleprops

titlesize

titleweight

transform

transpose

vbounds

vcbar

vcbarspacing

vclabel

vclabelprops

vclabelsize

vclabelweight

vcmap

vcticklabels

vctickprops

vcticks

vcticksize

vctickweight

vplot

xgrid

ygrid

Examples

To explore the formatoptions and their documentations, use the keys, summaries and docs methods. For example:

>>> import psyplot.project as psy

# show the keys corresponding to a group or multiple
# formatopions
>>> psy.plot.mapcombined.keys('labels')

# show the summaries of a group of formatoptions or of a
# formatoption
>>> psy.plot.mapcombined.summaries('title')

# show the full documentation
>>> psy.plot.mapcombined.docs('plot')

# or access the documentation via the attribute
>>> psy.plot.mapcombined.plot