From f94fbf99dc0bf9fd8d5d8b2181636d6fd2d007e4 Mon Sep 17 00:00:00 2001 From: Jonas Gunz Date: Thu, 19 Oct 2023 00:32:28 +0200 Subject: first wip meteogram --- test/cross.py | 81 ----------------------------------------------------------- 1 file changed, 81 deletions(-) delete mode 100755 test/cross.py (limited to 'test/cross.py') diff --git a/test/cross.py b/test/cross.py deleted file mode 100755 index 5f79a39..0000000 --- a/test/cross.py +++ /dev/null @@ -1,81 +0,0 @@ -#!/usr/bin/env python3 - -import matplotlib.pyplot as plt -import matplotlib as mpl -from matplotlib.colors import LinearSegmentedColormap - -import xarray as xr -from metpy.interpolate import cross_section -import metpy.calc as mpcalc -from metpy.units import units - -clcov_cmap = { - 'red': ( - (0.0, 0.0, 0.0), - (0.1, 0.9, 0.9), - (1.0, 0.3, 0.3), - ), - 'green': ( - (0.0, 0.5, 0.5), - (0.1, 0.9, 0.9), - (1.0, 0.3, 0.3), - ), - 'blue': ( - (0.0, 0.9, 0.9), - (0.1, 0.9, 0.9), - (1.0, 0.3, 0.3), - ), -} - -mpl.colormaps.register(LinearSegmentedColormap('clcov', clcov_cmap)) - -# backend_kwargs={'filter_by_keys':{'typeOfLevel': 'heightAboveGround','level':2}} -data = xr.load_dataset('dwd_icon-eu/combined.grib2', engine='cfgrib') - - -lat, lon = (47.96, 11.99) -data = data.sel(latitude=lat, longitude = lon, method='nearest') - -#data = data.assign_coords(step=(data.step / (10**9 * 3600))) -data = data.assign_coords(step=(data.step.values.astype(float) * units('ns')).to('hour')) - -print(data) - -fig = plt.figure(figsize=(5, 5), layout="constrained") - - -# start figure and set axis -ax = fig.add_subplot(5,1,(1,2)) - -ax.set_ylabel('Pressure level [hPa]') - -#clc = ax.plot(data.step.values.astype('float64'), data.isobaricInhPa, data.ccl.transpose()) -#clc = ax.imshow(data.ccl.transpose(), extent=(data.step.values.astype(float).min(), data.step.values.astype(float).max(), data.isobaricInhPa.min(), data.isobaricInhPa.max()), aspect='auto', cmap='Blues_r', vmin=0, vmax=100) -#plt.colorbar(clc, label='clcov') -# Blues_r -clc = ax.contourf(data.step, data.isobaricInhPa, data.ccl.transpose(), cmap='clcov', vmin=0, vmax=100, levels=9) - -# use Format parameter for n/8 -plt.colorbar(clc, label='cloudcov', extendfrac=None, ticks=[100*n/8 for n in range(9)], format=lambda x,_: f'{int(x/12.5)}/8', pad=0.0, fraction=0.015) - - -cf = ax.contour(data.step, data.isobaricInhPa, data.t.metpy.convert_units('degC').transpose()) -ax.clabel(cf, inline=True, fontsize=10) -#plt.colorbar(cf, pad=0, aspect=50) -#plt.colorbar(cf) - -barbs = ax.barbs(data.step, data.isobaricInhPa, data.u.transpose(), data.v.transpose()) -#ax.barbs(data.u, data.v, color='black', length=5, alpha=0.5) - -ax.invert_yaxis() - -### Second plot - -ax2 = fig.add_subplot(5,1,3,sharex=ax) -ax2.plot(data.step, data.t2m.metpy.convert_units('degC').transpose(), color='red', label='Temperature (2m)') -ax2.plot(data.step, mpcalc.dewpoint_from_relative_humidity(data.t2m, data.r2).transpose(), color='blue', label='Dewpoint (2m)') -ax2.set_ylabel('Temperature [degC]') -ax2.legend(loc='lower right') - -plt.show() - -- cgit v1.2.3