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-rwxr-xr-xplotter/meteogram.py164
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diff --git a/plotter/meteogram.py b/plotter/meteogram.py
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--- a/plotter/meteogram.py
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-#!/usr/bin/env python3
-import os
-import json
-
-import numpy as np
-
-import matplotlib.pyplot as plt
-
-import metpy.calc as mpcalc
-
-import misc
-
-HEIGHT = 13
-
-def run(data, plots, output='.', name='meteogram'):
- misc.create_output_dir(output)
- index = []
-
- for plot in plots:
- index.append(_plot(data, output, **plot))
-
- with open(os.path.join(output, f'{name}.index.json'), 'w') as f:
- f.write(json.dumps(index, indent=4))
-
- return [{ 'name': name, 'indexfile': f'{name}.index.json', 'list_title': 'Location' }]
-
-def _get_next_subplot(size, counter=0):
- ret = (counter + 1, counter + size)
- counter += size
- return counter, ret
-
-def _add_cloudcov(ax, data):
- ax.set_ylabel('Pressure level [hPa]')
-
- clc = ax.contourf(data.valid_time, 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.valid_time, data.isobaricInhPa, data.t.metpy.convert_units('degC').transpose())
- ax.clabel(cf, inline=True, fontsize=10)
-
- ax.barbs(
- data.valid_time,
- data.isobaricInhPa,
- data.u.metpy.convert_units('kt').transpose(),
- data.v.metpy.convert_units('kt').transpose()
- )
-
- ax.invert_yaxis()
-
-def _add_temp_dewpoint(ax, data):
- ### Temp + Dewpoint
- ax.plot(data.valid_time, data.t2m.metpy.convert_units('degC').transpose(), color='red', label='Temperature (2m)')
- ax.plot(data.valid_time, mpcalc.dewpoint_from_relative_humidity(data.t2m, data.r2).transpose(), color='blue', label='Dewpoint (2m)')
- ax.plot(data.valid_time, data.sel(isobaricInhPa=850.0).t.metpy.convert_units('degC').transpose(), color='grey', label='Temperature (850hPa)')
- ax.set_ylabel('Temperature [degC]')
- ax.legend(loc='lower right')
-
-def _add_mslp(ax, data):
- ax.plot(data.valid_time, data.prmsl.metpy.convert_units('hPa').transpose(), color='black', label='Temperature (2m)')
- ax.set_ylabel('Mean Sea Level Pressure [hPa]')
-
-def _add_convective_clouds(ax, data):
- # TODO: ADD HBAS_CON, HTOP_CON
- # If none: -500m
- ax.set_ylim(0, 14)
- ax.set_ylabel('Convective Clouds Height [km]')
- ax.bar(data.valid_time, alpha=0.5,
- bottom=data.HBAS_CON.metpy.convert_units('km').transpose(),
- height=(data.hcct.metpy.convert_units('km')-data.HBAS_CON.metpy.convert_units('km')).transpose(),
- align='edge', width=np.timedelta64(3, 'h'))
-
-def _add_precip(ax, data):
- ax.set_ylabel('Total precipitation [mm]')
- ax.set_ylim(0, 30)
- ax.bar(data.valid_time[:-1], data.tp.diff('step').transpose(), width=np.timedelta64(3, 'h'),
- align='edge', alpha=0.7, color='green')
-
- ax_p = ax.twinx()
- ax_p.set_ylabel('Snow depth [m]')
- ax_p.set_ylim(bottom=0)
- ax_p.plot(data.valid_time, data.sde.transpose(), color='blue')
-
-def _add_surface_wind(ax, data):
- ax.plot(data.valid_time, mpcalc.wind_speed(data.u10.transpose(), data.v10.transpose()), color='black', label='Wind (10m)')
- ax.plot(data.valid_time, data.fg10.transpose(), color='red', label='Gust (10m)')
-
- ax_b = ax.twinx()
- ax_b.barbs(
- data.valid_time,
- [1 for _ in data.valid_time],
- data.u10.metpy.convert_units('kt').transpose(),
- data.v10.metpy.convert_units('kt').transpose()
- )
- ax_b.axis('off')
-
- ax.set_ylabel('Wind Speed [m/s]')
- ax.legend(loc='lower right')
-
-def _plot(data, output, name, lat, lon):
- data = data.sel(latitude=lat, longitude = lon, method='nearest')
-
- fig = plt.figure(figsize=(12, 12), layout="constrained")
-
- sp_cnt, spec = _get_next_subplot(4)
- ax = fig.add_subplot(HEIGHT,1,spec)
- _add_cloudcov(ax, data)
-
- sp_cnt, spec2 = _get_next_subplot(2,sp_cnt)
- ax2 = fig.add_subplot(HEIGHT,1,spec2,sharex=ax)
- _add_temp_dewpoint(ax2, data)
-
- sp_cnt, spec3 = _get_next_subplot(2,sp_cnt)
- ax3 = fig.add_subplot(HEIGHT,1,spec3,sharex=ax)
- #ax3.legend(loc='lower right')
- _add_mslp(ax3, data)
-
- ax4 = ax3.twinx()
- _add_convective_clouds(ax4, data)
-
- sp_cnt, spec4 = _get_next_subplot(2,sp_cnt)
- ax5 = fig.add_subplot(HEIGHT,1,spec4,sharex=ax)
- _add_precip(ax5, data)
-
- sp_cnt, spec5 = _get_next_subplot(2,sp_cnt)
- ax6 = fig.add_subplot(HEIGHT,1,spec5,sharex=ax)
- _add_surface_wind(ax6, data)
-
- ### Info Lines
- sp_cnt, spec5 = _get_next_subplot(1,sp_cnt)
- ax_text = fig.add_subplot(HEIGHT, 1, spec5)
-
- info_lines = []
- init = misc.np_time_convert(data.time.values)
- init_str = init.strftime('%d %b %Y - %HUTC')
- init_for_filename = init.strftime('%Y-%m-%d-%HUTC')
-
- info_lines.append(f'{name}')
- info_lines.append(f"INIT : {init_str}")
- info_lines.append(f"LAT {lat} LON {lon}")
-
- if '_description' in data.attrs:
- info_lines.append(data.attrs['_description'])
-
- ax_text.text(0, 0, '\n'.join(info_lines), ha='left', va='center',
- size=10, fontfamily='monospace')
- ax_text.axis("off")
-
- ### Output
-
- outname = f'{name}_{init_for_filename}.png'
- plt.savefig(os.path.join(output, outname))
- plt.close('all')
-
- return (
- {
- 'file': outname,
- 'init': init_str,
- 'valid': init_str,
- 'valid_offset': '00',
- 'display_name': name,
- 'id': name
- })