first working version of basemap plot

map_projection.py

@@ -2,9 +2,12 @@ from mpl_toolkits.basemap import Basemap
 import matplotlib.pyplot as plt
 import numpy as np
 import obspy
+from matplotlib import cm
 
 #import QtPyLoT
 from pylot.core.util.dataprocessing import read_metadata
+from scipy.interpolate import griddata
+
 
 #pf=QtPyLoT.main()
 
@@ -12,45 +15,145 @@ def onpick(event):
     ind = event.ind
     print(ind)
 
-
-metadata=read_metadata('/data/Geothermie/Insheim/STAT_INFO/MAGS2_net.dless')
+def get_metadata(path):
+    metadata=read_metadata(path)
     parser=metadata[1]
+    return parser
 
+def get_station_names(parser):
+    station_names=[]
+    for station in parser.stations:
+        station_names.append(station[0].station_call_letters)
+    return station_names
+
+def get_lat_lon(parser):
     lat=[]
     lon=[]
-stcl=[]
-picks=[]
-picks_rel=[]
-
     for station in parser.stations:    
-    stcl.append(station[0].station_call_letters)
         lat.append(station[0].latitude)
         lon.append(station[0].longitude)
+    return lat, lon
 
-for station in stcl:
+def get_picks(pf, station_names):
+    picks=[]
+    for station in station_names:
         try:
             picks.append(pf.autopicks[station]['P']['mpp'])
         except:
             picks.append(np.nan)
+    return picks
     
+def get_picks_rel(picks):
+    picks_rel=[]
     minp = min(picks)    
-
     for pick in picks:
         if type(pick) is obspy.core.utcdatetime.UTCDateTime:
             pick -= minp
         picks_rel.append(pick)
+    return picks_rel
 
+def remove_nan_picks(picks):
+    picks_no_nan=[]
+    for pick in picks:
+        if not np.isnan(pick):
+            picks_no_nan.append(pick)
+    return picks_no_nan
             
-m = Basemap(projection='hammer',lon_0=0,lat_0=0)
-m.drawmapboundary(fill_color='aqua')
+def remove_nan_lat_lon(picks, lat, lon):
+    lat_no_nan=[]
+    lon_no_nan=[]
+    for index, pick in enumerate(picks):
+        if not np.isnan(pick):
+            lat_no_nan.append(lat[index])
+            lon_no_nan.append(lon[index])
+    return lat_no_nan, lon_no_nan
+    
+def get_lon_lat_dim(lon, lat):
+    londim = max(lon) - min(lon)
+    latdim = max(lat) - min(lat)
+    return londim, latdim
+
+def get_x_y_dim(x, y):
+    xdim = max(x) - min(x)
+    ydim = max(y) - min(y)
+    return xdim, ydim
+    
+def init_map(projection, resolution='l'):
+    m = Basemap(projection=projection, resolution = resolution)
+    m.drawmapboundary(fill_color='darkblue')
     m.drawcountries()
     m.drawstates()
     m.fillcontinents(color='grey', lake_color='aqua')
     m.drawcoastlines()
-m.scatter(lon, lat, s=50, c=picks_rel, latlon=True, zorder=10, picker=True)
+    return m
+    
+def get_lat_lon_axis(lat, lon):
+    steplat = (max(lat)-min(lat))/250
+    steplon = (max(lon)-min(lon))/250
+    
+    lataxis = np.arange(min(lat), max(lat), steplat)
+    lonaxis = np.arange(min(lon), max(lon), steplon)
+    return lataxis, lonaxis
+
+def get_lat_lon_grid(lataxis, lonaxis):
+    longrid, latgrid = np.meshgrid(lonaxis, lataxis)
+    return latgrid, longrid
+
+def draw_contour_filled(picks, longrid, latgrid, picksgrid, levels='50'):
+    levels = np.linspace(min(picks), max(picks), 50)
+    contourf = m.contourf(longrid, latgrid, picksgrid, levels, latlon=True, zorder=9)
+    return contourf
+
+def annotate_ax(ax, x, y, station_names):
+    for index, name in enumerate(station_names):
+        ax.annotate(' %s' % name, xy=(x[index], y[index]), fontsize='x-small', zorder=12)
+
+def connect_pick(ax, onpick):
+    ax.figure.canvas.mpl_connect('pick_event', onpick)
+
+def add_cbar(ax, scatter, label):
+    cbar = ax.figure.colorbar(scatter)
+    cbar.set_label(label)
+    return cbar
+
+parser = get_metadata('/data/Geothermie/Insheim/STAT_INFO/MAGS2_net.dless')
+
+station_names = get_station_names(parser)
+
+lat, lon = get_lat_lon(parser)
+picks = get_picks(pf, station_names)
+picks_rel = get_picks_rel(picks)
+
+picks_no_nan = remove_nan_picks(picks_rel)
+lat_no_nan, lon_no_nan = remove_nan_lat_lon(picks_rel, lat, lon)
+
+londim, latdim = get_lon_lat_dim(lon, lat)
+x, y = m(lon, lat)
+xdim, ydim = get_x_y_dim(x, y)
+
+m = init_map('mill', 'l')
+
+lataxis, lonaxis = get_lat_lon_axis(lat, lon)
+latgrid, longrid = get_lat_lon_grid(lataxis, lonaxis)
+
+picksgrid_no_nan = griddata((lat_no_nan, lon_no_nan), picks_no_nan, (latgrid, longrid), method='linear')
+
+contourf = draw_contour_filled(picks_no_nan, longrid, latgrid, picksgrid_no_nan)
+
+sc = m.scatter(lon, lat, s=50, facecolor='none', latlon=True, zorder=10, picker=True, edgecolor='m', label='Not Picked')
+sc_picked = m.scatter(lon_no_nan, lat_no_nan, s=50, c=picks_no_nan, latlon=True, zorder=11, label='Picked')
 
 ax = plt.gca() # IMPROVE!!!!
 
-ax.figure.canvas.mpl_connect('pick_event', onpick)
+annotate_ax(ax, x, y, station_names)
+
+ax.legend()
+
+connect_pick(ax, onpick)
+
+cbar = add_cbar(ax, sc_picked, label='Time relative to first onset [s]')
+
+# ax.set_xlim(min(x)-0.5*xdim, max(x)+0.5*xdim)
+# ax.set_ylim(min(y)-0.5*ydim, max(y)+0.5*ydim)
 
 plt.show()

pylot/RELEASE-VERSION

@@ -1 +1 @@
-d370-dirty
+f1e3-dirty