Plotting Data on NE30 Native Grid¶
This notebook shows how to plot NE30 (or NEX) native grids
© Software was developed by Charles Doutriaux. (April 2018)
Table Of Contents¶
Necessary Modules¶
In [1]:
from __future__ import print_function
import e3sm_nex
import cdms2
import vcs
import requests
import numpy
Download Data¶
In [2]:
def download(fnm):
r = requests.get("https://cdat.llnl.gov/cdat/sample_data/%s" % fnm,stream=True)
with open(fnm,"wb") as f:
for chunk in r.iter_content(chunk_size=1024):
if chunk: # filter local_filename keep-alive new chunks
f.write(chunk)
for filename in ["ne30_TS.nc","ne30np4_latlon.091226.nc"]:
download(filename)
data_path = "ne30_TS.nc"
grid_file_path = "ne30np4_latlon.091226.nc"
Grid Info¶
In [3]:
# Reads in data from grid file
gf = cdms2.open(grid_file_path)
# needs to send filled data
lats = gf("lat").filled()
lons = gf("lon").filled()
ec = gf("element_corners").filled()
Generate NE30 Grid¶
In [4]:
# Generate grid
grid = e3sm_nex.generateNEXGrid(lats, lons, ec)
Load Data and Apply Grid¶
In [5]:
# Load data and apply grid
fd = cdms2.open(data_path)
data = fd("TS")
# Need to clean up missing/bad values
data = e3sm_nex.applyGrid(data,grid)
Plot¶
In [6]:
# plot
# create Canvas
x=vcs.init(bg=True, geometry=(1200,800))
# Create graphics method
mesh = vcs.createmeshfill()
# Only show a sub domain
mesh.datawc_x1 = -170
mesh.datawc_x2 = -50
mesh.datawc_y1 = -25
mesh.datawc_y2 = 75
# If you want to show mesh
# mesh.mesh = True
x.plot(data, mesh, ratio="autot")
/home/doutriaux1/anaconda2/envs/cdat_test/lib/python2.7/site-packages/vtk/util/numpy_support.py:135: FutureWarning: Conversion of the second argument of issubdtype from `complex` to `np.complexfloating` is deprecated. In future, it will be treated as `np.complex128 == np.dtype(complex).type`.
assert not numpy.issubdtype(z.dtype, complex), \
Out[6]: