justplot 0.1.3a3

TL;DR

from justplot import justplot as jp
import numpy

lat = np.asarray([-90,-60,-30,0,30,60,90])
lon = np.asarray([-180,-150,-120,-90,-60,-30,0,30,60,90,120,150,180])
lat,lon = np.meshgrid(lat, lon)
temp = np.random.randint(10,35,(13,7))
wind = np.random.randint(100,300,(13,7))

awesome = jp.JustPlot(
    title = "Where is it hot?",
    xlabel = "Latitude",
    ylabel = "Longitude",
    # add more options here
)
awesome.add_contourf(lat,lon,temp,ylabel="Temperature (K)", colorbar=True)
awesome.save("Sun.pdf","pdf")

windy = awesome.copy()
windy(title="A little bit windy don't ya think?")
windy.add_contour(lat,lon,wind,ylabel="Wind")
windy.save("Wind.pdf","pdf")

Usage

Let’s say we have some data we want to plot (suprise!). As an example I will use a small data set from ucar.

First off we have to load the data.

import xarray
import numpy as np

data = xarray.open_dataset('sresa1b_ncar_ccsm3-example.nc', decode_times=False) #pretty cryptic, I know
lat = data.lat.data
lon = data.lon.data
temp = data.tas.data[0,:,:]
wind = data.ua.data[0,4,:,:]
xlat,xlon = np.meshgrid(lon,lat)

Let’s build the figure and axes settings first.

from justplot import justplot as jp

blueprint = jp.JustPlot(
    title = "Where is it hot?",
    ylabel = "Latitude",
    xlabel = "Longitude",
    # add more options here
)

Now we can add the actual plot.

blueprint.add_contourf(xlat,xlon,temp,label="Temperature")
blueprint.save('blueprint-1.png','png')

The title is strange and too small. Additionally the both Axes could use some more ticks. So let’s change that.

from matplotlib.ticker import AutoMinorLocator
blueprint(title={"label":"World Temperature","fontsize":19},
          xticks=np.arange(0,361,30),
          yticks=np.arange(-90,91,30),
          xminor=AutoMinorLocator(3),
          yminor=AutoMinorLocator(3),
)
blueprint.save("blueprint-2.png",'png')

Basemap support will be added further down the road. It is on
[STRIKEOUT:my] **our** to do list. You can quote me on that.

Good enough. Now pretend that you like this plot sooo much that you want all your future plots to look like it. For example the one for Wind. Let’s do that.

windy = blueprint.copy()
windy(title={"label":"Wind","fontsize":19})
windy.add_contour(xlat,xlon,wind,label="Wind")
windy.save("windy.png","png")

Let’s put all this together.

both = windy.copy()
both(title={"label":"World Temperature + Wind","fontsize":19})
both.add_contourf(xlat,xlon,temp,label="Temperature")
both.add_contour(xlat,xlon,wind,label="Wind",colors=('k'))
blueprint.save("both.png","png")

You can find the example code and data in the example folder.