Merge branch 'package_python'

5 files changed, 392 insertions, 0 deletions

diff --git a/metchart/plotter/__init__.py b/metchart/plotter/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/metchart/plotter/__init__.py
diff --git a/metchart/plotter/debug_data.py b/metchart/plotter/debug_data.py
new file mode 100644
index 0000000..560d13c
--- /dev/null
+++ b/metchart/plotter/debug_data.py
@@ -0,0 +1,4 @@
+def run(data, **kwargs):
+    print(data)
+
+    return []
diff --git a/metchart/plotter/horizontal.py b/metchart/plotter/horizontal.py
new file mode 100755
index 0000000..7b35def
--- /dev/null
+++ b/metchart/plotter/horizontal.py
@@ -0,0 +1,123 @@
+#!/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
+
+from . 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': hours_since_init_str,
+                '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/metchart/plotter/meteogram.py b/metchart/plotter/meteogram.py
new file mode 100755
index 0000000..8335247
--- /dev/null
+++ b/metchart/plotter/meteogram.py
@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+import os
+import json
+
+import numpy as np
+
+import matplotlib.pyplot as plt
+
+import metpy.calc as mpcalc
+
+from .. 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.HTOP_CON.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/metchart/plotter/vertical_from_grib.py b/metchart/plotter/vertical_from_grib.py
new file mode 100755
index 0000000..d341389
--- /dev/null
+++ b/metchart/plotter/vertical_from_grib.py
@@ -0,0 +1,101 @@
+#!/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
+
+from . 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': hours_since_init_str,
+                '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)