package with python

1 files changed, 164 insertions, 0 deletions

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
+        })