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authorGravatar Jonas Gunz <himself@jonasgunz.de> 2024-10-14 02:23:10 +0200
committerGravatar Jonas Gunz <himself@jonasgunz.de> 2024-10-14 02:23:10 +0200
commit663edde231af9ad4a782c5438027ef7f839806ea (patch)
tree3e0d6745e5b1c633a76e404a56b734caddcf6b37 /plotter
parent9e5f1d17a4b0165bd4a3218ca24a159012ea49bd (diff)
downloadmeteo_toolbox-663edde231af9ad4a782c5438027ef7f839806ea.tar.gz
package with python
Diffstat (limited to 'plotter')
-rw-r--r--plotter/__init__.py0
-rw-r--r--plotter/debug_data.py4
-rwxr-xr-xplotter/horizontal.py123
-rwxr-xr-xplotter/meteogram.py164
-rwxr-xr-xplotter/vertical_from_grib.py101
5 files changed, 0 insertions, 392 deletions
diff --git a/plotter/__init__.py b/plotter/__init__.py
deleted file mode 100644
index e69de29..0000000
--- a/plotter/__init__.py
+++ /dev/null
diff --git a/plotter/debug_data.py b/plotter/debug_data.py
deleted file mode 100644
index 560d13c..0000000
--- a/plotter/debug_data.py
+++ /dev/null
@@ -1,4 +0,0 @@
-def run(data, **kwargs):
- print(data)
-
- return []
diff --git a/plotter/horizontal.py b/plotter/horizontal.py
deleted file mode 100755
index 218fd33..0000000
--- a/plotter/horizontal.py
+++ /dev/null
@@ -1,123 +0,0 @@
-#!/usr/bin/env python3
-import os
-import json
-
-import xarray as xr
-
-import numpy as np
-import matplotlib.pyplot as plt
-from metpy.plots import MapPanel, PanelContainer, RasterPlot, ContourPlot
-
-import misc
-
-config = {
- 'source': 'dwd_icon-eu/combined.grib2',
- 'plots': [
- {
- 'name':'r_t-750',
- 'area': None,
- 'layers': [
- {
- 'layertype': 'raster',
- 'field': 'r',
- 'level': 750,
- },
- {
- 'layertype': 'contour',
- 'field': 't',
- 'level': 750,
- 'contours': 5,
- 'clabels': True
- },
- ]
- },
- ]
-}
-
-def run(data, plots, output='.'):
- misc.create_output_dir(output)
- index = []
-
- for plot in plots:
- index.append(_plot(data, output, **plot))
-
- return index
-
-def _plot(data, output, name, layers, area = None):
- index = []
-
- for step in data.coords['step']:
- this_step = data.sel(step=step)
-
- map_layers = []
-
- for layer in layers:
- map_layers.append(_layer(this_step, **layer))
-
- valid = misc.np_time_convert(step.valid_time.values)
- init = misc.np_time_convert(step.time.values)
-
- valid_str = valid.strftime('%d %b %Y - %HUTC')
- init_str = init.strftime('%d %b %Y - %HUTC')
- hours_since_init_str = str(int(this_step.step.values / np.timedelta64(1,'h'))).zfill(2)
- init_for_filename = init.strftime('%Y-%m-%d-%HUTC')
-
- panel = MapPanel()
- if area is not None:
- panel.area = area
- panel.projection = 'mer'
- panel.layers = ['coastline', 'borders']
- panel.plots = map_layers
- panel.left_title = f'{name} VALID: {valid_str} (INIT +{hours_since_init_str}) INIT: {init_str}'
- if '_description' in data.attrs:
- panel.right_title = data.attrs['_description']
-
- pc = PanelContainer()
- pc.size = (12.8, 9.6)
- #pc.figure.layout='constrained'
- pc.panels = [panel]
- pc.draw()
- #pc.show()
- outname = f'{name}_{init_for_filename}+{hours_since_init_str}.png'
- pc.save(os.path.join(output, outname))
- plt.close('all')
-
- index.append(
- {
- 'file': outname,
- 'init': init_str,
- 'valid': valid_str,
- 'valid_offset': hours_since_init_str,
- 'display_name': name,
- 'id': name
- }
- )
-
- 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': 'INIT+' }
-
-def _layer(data, layertype, **kwargs):
- layertypes={
- 'raster': {
- 'obj': RasterPlot,
- 'defaults': {
- 'colorbar': 'vertical',
- }
- },
- 'contour': {
- 'obj': ContourPlot,
- 'defaults': {}
- }
- }
-
- args = layertypes[layertype]['defaults'] | kwargs
-
- ret = layertypes[layertype]['obj'](**args)
- ret.data = data
-
- return ret
-
-if __name__ == '__main__':
- run(**config)
diff --git a/plotter/meteogram.py b/plotter/meteogram.py
deleted file mode 100755
index 724e9b2..0000000
--- a/plotter/meteogram.py
+++ /dev/null
@@ -1,164 +0,0 @@
-#!/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
- })
diff --git a/plotter/vertical_from_grib.py b/plotter/vertical_from_grib.py
deleted file mode 100755
index 8e4fd60..0000000
--- a/plotter/vertical_from_grib.py
+++ /dev/null
@@ -1,101 +0,0 @@
-#!/usr/bin/env python3
-import os
-
-import datetime
-import json
-
-import matplotlib.pyplot as plt
-
-import xarray as xr
-from metpy.units import units
-import metpy.calc as mpcalc
-import numpy as np
-
-import skewt
-
-import misc
-
-config = {
- 'source':'dwd_icon-eu/combined.grib2',
- 'plots':[
- {
- 'lat':47.9626,
- 'lon':11.9964,
- 'name':'Antersberg',
- 'analysis':'lcl'
- },
- ]
-}
-
-def run(data, plots, output='.'):
- misc.create_output_dir(output)
- index = []
-
- for plot in plots:
- index.append(_plot(data, output, **plot))
-
- return index
-
-def _plot(data, output, name, lat=None, lon=None, analysis=None):
- for_temp = data[['r', 't', 'u', 'v']]
-
- if not (lat is None and lon is None):
- for_temp = for_temp.sel(latitude=lat, longitude=lon, method='nearest')
-
- index = []
-
- for step in for_temp.coords['step']:
- this_step = for_temp.sel(step=step)
-
- p = this_step.coords['isobaricInhPa'].values * units.hPa
- T = this_step.t.values * units.K
- relHum = this_step.r.values * units.percent
- Td = mpcalc.dewpoint_from_relative_humidity(T, relHum)
- u = this_step.u.values * (units.m / units.s)
- v = this_step.v.values * (units.m / units.s)
-
- valid = misc.np_time_convert(step.valid_time.values)
- init = misc.np_time_convert(step.time.values)
-
- valid_str = valid.strftime('%d %b %Y - %HUTC')
- init_str = init.strftime('%d %b %Y - %HUTC')
- hours_since_init_str = str(int(this_step.step.values / np.timedelta64(1,'h'))).zfill(2)
-
- skt = skewt.Skewt(p=p, T=T, Td=Td)
- skt.addWindUV(u, v)
- skt.addInfo(f'{name} INIT+' + hours_since_init_str)
- skt.addInfo(f"VALID: {valid_str}")
- skt.addInfo(f"INIT : {init_str}")
- skt.addInfo(f"LAT {lat} LON {lon}")
-
- if analysis is not None:
- skt.addAnalysis(shade=True, analysis=analysis)
-
- if '_description' in data.attrs:
- skt.addInfo(data.attrs['_description'])
-
- init_for_filename = init.strftime('%Y-%m-%d-%HUTC')
-
- outname = f'skewt_{name}_{init_for_filename}+{hours_since_init_str}.png'
- skt.plot(filename=os.path.join(output, outname))
-
- plt.close('all')
-
- index.append(
- {
- 'file': outname,
- 'init': init_str,
- 'valid': valid_str,
- 'valid_offset': hours_since_init_str,
- 'display_name': name,
- 'id': name
- }
- )
-
- with open(os.path.join(output, f'skewt_{name}.index.json'), 'w') as f:
- f.write(json.dumps(index, indent=4))
-
- return {'name': name, 'indexfile': f'skewt_{name}.index.json', 'list_title': 'Location'}
-
-if __name__ == '__main__':
- run(**config)