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mp changes to ds_plots.py #1

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Nov 28, 2018
Merged

mp changes to ds_plots.py #1

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52a5e8a
mp changes to ds_plots.py and new plotting function to call all neces…
mp586 Nov 22, 2018
0a17eba
Added use_pcolor option, default to contourf but enable pcolor usage
timothyas Nov 28, 2018
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20 changes: 20 additions & 0 deletions plotting_script.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,20 @@
import xarray as xr
import matplotlib.pyplot as plt
import numpy as np
import cartopy.crs as ccrs
from cartopy.util import add_cyclic_point

import sys
sys.path.insert(0, '/scratch/mp586/git_repos/ACDC/tools')
from ds_plots import *
from netCDF4 import Dataset

# load dataset 1
nc = Dataset('/scratch/mp586/git_repos/ACDC/Data/monthlyclimo_'+input('Which experiment ? ')+'.nc')
lats = nc.variables['lat'][:]
lons = nc.variables['lon'][:]

P = xr.DataArray(nc.variables['precipitation'][:])*86400

mmap(np.asarray(P.mean('dim_0')),lats,lons,show = 'Yes')

17 changes: 15 additions & 2 deletions tools/ds_plots.py
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Expand Up @@ -110,7 +110,8 @@ def hmap(mapdata,lat,cmap=None,clim=None,title=None,
def mmap(mapdata,lat,lon,title=None,cb_ttl=None,cmap=None,clim=None,
filepath=None,show=None,sigmask=None,p=None,
do_zonal=None,newfig=True,
outside_color = None, outside_val = None):
outside_color = None, outside_val=None,
use_pcolor=False):
# Make a map (robinson projection) of mapdata over lat/lon
# Inputs
# mapdata : 2D field to be plotted
Expand All @@ -122,7 +123,14 @@ def mmap(mapdata,lat,lon,title=None,cb_ttl=None,cmap=None,clim=None,
# cb_ttl : colorbar title
# cmap : special colormap
# clim : colorbar limits, as a 2 element array
# use_pcolor: default is to use contourf. Set True for pcolormesh

# mp added a few lines to convert potential xarray inputs to numpy arrays
# so that add_cyclic_point works
lon = np.asarray(lon)
lat = np.asarray(lat)
mapdata = np.asarray(mapdata)

if newfig:
if do_zonal==1:
# make 2 subplots, one for map, one for zonal average next to it
Expand All @@ -140,7 +148,12 @@ def mmap(mapdata,lat,lon,title=None,cb_ttl=None,cmap=None,clim=None,
cyclic_data, cyclic_lons = add_cyclic_point(mapdata,coord=lon)

# Make the plot
cs = plt.pcolormesh(cyclic_lons,lat,cyclic_data,transform=ccrs.PlateCarree())
# Default: contourf
if not use_pcolor:
cs = plt.contourf(cyclic_lons,lat,cyclic_data,transform=ccrs.PlateCarree())
else:
cs = plt.pcolormesh(cyclic_lons,lat,cyclic_data,transform=ccrs.PlateCarree())


# set colormap
if cmap:
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