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@ -26,10 +26,7 @@ import matplotlib.ticker as ticker
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import string |
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import math |
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import cartopy |
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import cartopy.crs as ccrs |
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from pyrocko.plot import beachball |
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from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter |
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logger = logging.getLogger('__name__') |
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@ -217,7 +214,7 @@ def get_mag_tuple_auto(mag_min,mag_max,plotlib):
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if plotlib in ['GMT','gmt']: |
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markersize_max = 24 |
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markersize_min = 2 |
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elif plotlib == 'matplotlib': |
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elif plotlib in ['matplotlib', 'cartopy']: |
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markersize_max = 24**2 |
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markersize_min = 2**2 |
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else: |
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@ -242,7 +239,7 @@ def get_scalebar_length(radius):
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return scalebar_length |
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def scale_bar(ax, ortho=ccrs.PlateCarree(), length=None, |
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def scale_bar(ax, ortho, length=None, |
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location=(0.8, 0.1), linewidth=3, fontsize=20): |
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""" |
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@ -257,6 +254,8 @@ def scale_bar(ax, ortho=ccrs.PlateCarree(), length=None,
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linewidth is the thickness of the scalebar. |
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""" |
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#Get the limits of the axis in lat long |
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import cartopy.crs as ccrs |
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llx0, llx1, lly0, lly1 = ax.get_extent(ortho) |
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#Make tmc horizontally centred on the middle of the map, |
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#vertically at scale bar location |
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@ -336,7 +335,7 @@ def map_plot(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False, mark_nodata=Fa
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if not mark_nodata and ev.extras['clustered'] is True: |
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lats_nocl.append(ev.lat) |
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lons_nocl.append(ev.lon) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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else: |
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ev_nocl_notcl.append(ev) |
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@ -400,19 +399,19 @@ def map_plot(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False, mark_nodata=Fa
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if len(ev.extras) == 2: |
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lat_nocl_data.append(ev.lat) |
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lon_nocl_data.append(ev.lon) |
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s_nocl_data.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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s_nocl_data.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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else: |
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ev_nodatathresh.append(ev) |
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if mark_nodata: |
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# this is old |
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rows_nodatasnr = [(ev.lon, ev.lat, mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) for ev in ev_nodatathresh if ev.extras['note'] == 'nodatasnr'] |
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rows_thresh = [(ev.lon, ev.lat, mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) for ev in ev_nodatathresh if ev.extras['note'] == 'thresh'] |
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rows_nodatasnr = [(ev.lon, ev.lat, mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) for ev in ev_nodatathresh if ev.extras['note'] == 'nodatasnr'] |
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rows_thresh = [(ev.lon, ev.lat, mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) for ev in ev_nodatathresh if ev.extras['note'] == 'thresh'] |
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m.gmt.psxy(in_rows=rows_nodatasnr, S='c', *m.jxyr) |
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m.gmt.psxy(in_rows=rows_thresh, S='d', *m.jxyr) |
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m.gmt.psxy(in_columns=(lon_nocl_data, lat_nocl_data, s_nocl_data), S='c', G='grey', *m.jxyr) |
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else: |
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rows = [(ev.lon, ev.lat, mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) for ev in ev_nodatathresh if ev.extras['clustered'] is False] |
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rows = [(ev.lon, ev.lat, mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) for ev in ev_nodatathresh if ev.extras['clustered'] is False] |
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m.gmt.psxy(in_rows=rows, S='c', W='0.5p,grey', *m.jxyr) |
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# events without MT and without cluster number but entered DBSCAN |
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@ -429,7 +428,7 @@ def map_plot(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False, mark_nodata=Fa
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* pmt.magnitude_to_moment(ev.magnitude) |
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m6 = pmt.to6(mt) |
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data = (ev.lon, ev.lat, 10) + tuple(m6) + (1,0,0) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple, mag_max,mag_min, plotlib=cl_cnf.plotlib, method=scale_meth) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple, mag_max,mag_min, plotlib=cl_cnf.map_plotlib, method=scale_meth) |
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if not cc_cnf and not mark_nodata: |
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if ev.extras['origins'][0] == True: |
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@ -481,7 +480,7 @@ def map_plot(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False, mark_nodata=Fa
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cluster_color_dict[cl]=g_col |
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lonsnomt = [ev.lon for ev in pl_ev] |
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latsnomt = [ev.lat for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) for ev in pl_ev] |
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m.gmt.psxy(in_columns=(lonsnomt, latsnomt, sizenomt), |
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G=g_col, S=symbol, W='0.5p,%s' % g_col, |
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*m.jxyr) |
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@ -495,7 +494,7 @@ def map_plot(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False, mark_nodata=Fa
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g_col = util_clusty.color2rgb(pl_ev[0].extras['color']) |
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lonsnomt = [ev.lon for ev in pl_ev] |
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latsnomt = [ev.lat for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) for ev in pl_ev] |
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m.gmt.psxy(in_columns=(lonsnomt, latsnomt, sizenomt), |
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G=g_col, S='c', W='0.5p,%s' % g_col, |
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*m.jxyr) |
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@ -511,7 +510,7 @@ def map_plot(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False, mark_nodata=Fa
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* pmt.magnitude_to_moment(ev.magnitude) |
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m6 = pmt.to6(mt) |
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data = (ev.lon, ev.lat, 10) + tuple(m6) + (1,0,0) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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m.gmt.psmeca( |
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in_rows=[data], |
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G=g_col, |
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@ -533,16 +532,16 @@ def map_plot(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False, mark_nodata=Fa
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for i_ma, ma in enumerate(num.arange(lower,upper, step)): |
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if i_ma == 0: |
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leg = 'S 0.1i c %sp black 1p 0.3i M %.1f\n' % (mag_scale_log(ma, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth),ma) |
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leg = 'S 0.1i c %sp black 1p 0.3i M %.1f\n' % (mag_scale_log(ma, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth),ma) |
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else: |
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leg = leg + 'S 0.1i c %sp black 1p 0.3i M %.1f\n' % (mag_scale_log(ma, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth),ma) |
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leg = leg + 'S 0.1i c %sp black 1p 0.3i M %.1f\n' % (mag_scale_log(ma, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth),ma) |
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leg = leg + 'D 0 1p\n' |
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mag_leg = (mag_min+mag_max)/2 |
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for key in sorted(cluster_color_dict.keys()): |
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item = cluster_color_dict[key] |
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leg = leg + 'S 0.1i c %sp %s - 0.3i %s\n' % (mag_scale_log(mag_leg, log_tuple, mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth), item, key) |
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leg = leg + 'S 0.1i c %sp %s - 0.3i %s\n' % (mag_scale_log(mag_leg, log_tuple, mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth), item, key) |
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with open('leg.txt', 'w') as f: |
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f.write(leg) |
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@ -595,7 +594,7 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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if ev.extras['clustered'] is True: |
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norths_nocl.append(ev.north_shift) |
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easts_nocl.append(ev.east_shift) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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else: |
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ev_nocl_notcl.append(ev) |
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print('Total:', len(catalog)) |
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@ -650,7 +649,7 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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if ev_nocl_notcl: |
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easts_nocl_notcl = [ev.east_shift for ev in ev_nocl_notcl if ev.extras['clustered'] is False] |
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norths_nocl_notcl = [ev.north_shift for ev in ev_nocl_notcl if ev.extras['clustered'] is False] |
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size_nocl_notcl= [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.plotlib,method=scale_meth)\ |
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size_nocl_notcl= [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.map_plotlib,method=scale_meth)\ |
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for ev in ev_nocl_notcl if ev.extras['clustered'] is False] |
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ax.scatter(easts_nocl_notcl,norths_nocl_notcl, s=size_nocl_notcl, marker='o', |
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@ -664,7 +663,7 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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mmt = ev.moment_tensor |
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markersize = mag_scale_log(ev.magnitude, log_tuple, mag_max,mag_min, |
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plotlib=cl_cnf.plotlib,method=scale_meth) |
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plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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if ev.extras['clustered']: |
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ggcol = 'grey' |
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@ -703,7 +702,7 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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hex_color = pl_ev[0].extras['color'] |
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easts_nomt = [ev.east_shift for ev in pl_ev] |
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norths_nomt = [ev.north_shift for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.plotlib,method=scale_meth)\ |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.map_plotlib,method=scale_meth)\ |
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for ev in pl_ev] |
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ax.scatter(easts_nomt, norths_nomt, s=sizenomt, marker=symbol, |
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@ -723,7 +722,7 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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easts_nomt = [ev.east_shift for ev in pl_ev] |
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norths_nomt = [ev.north_shift for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) for ev in pl_ev] |
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ax.scatter(easts_nomt, norths_nomt, s=sizenomt, marker='o', c=hex_col, |
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lw=0.5, zorder=4) |
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@ -731,7 +730,7 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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# clustered events with an MT |
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for ev in ev_mt: |
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mmt = ev.moment_tensor |
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markersize = mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) |
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markersize = mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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beachball.plot_beachball_mpl( |
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mmt, ax, |
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@ -761,7 +760,7 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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for i_ma, ma in enumerate(num.arange(lower,upper, step)): |
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markersize = mag_scale_log(ma, log_tuple,mag_max,mag_min, |
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plotlib=cl_cnf.plotlib,method=scale_meth) |
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plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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mag_handle = plt.plot((0,0.5), ls='', marker="o", markerfacecolor='None', |
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markeredgecolor='black', ms=markersize**0.5, color='k', label='%.1f' % ma)[0] |
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@ -786,6 +785,10 @@ def map_plot_carto_local(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False): |
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import cartopy |
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import cartopy.crs as ccrs |
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from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter |
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faults = cl_cnf.map_faults_path |
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@ -821,7 +824,7 @@ def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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if ev.extras['clustered'] is True: |
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lats_nocl.append(ev.lat) |
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lons_nocl.append(ev.lon) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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else: |
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ev_nocl_notcl.append(ev) |
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@ -895,7 +898,7 @@ def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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if ev_nocl_notcl: |
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lons_nocl_notcl = [ev.lon for ev in ev_nocl_notcl if ev.extras['clustered'] is False] |
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lats_nocl_notcl = [ev.lat for ev in ev_nocl_notcl if ev.extras['clustered'] is False] |
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size_nocl_notcl = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.plotlib,method=scale_meth) for ev in ev_nocl_notcl if ev.extras['clustered'] is False] |
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size_nocl_notcl = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.map_plotlib,method=scale_meth) for ev in ev_nocl_notcl if ev.extras['clustered'] is False] |
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ax.scatter(lons_nocl_notcl,lats_nocl_notcl, s=size_nocl_notcl, marker='o', |
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facecolors='None', edgecolor='#BEBEBE', lw=0.5, zorder=1) |
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@ -908,7 +911,7 @@ def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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mmt = ev.moment_tensor |
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markersize = mag_scale_log(ev.magnitude, log_tuple, mag_max,mag_min, |
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plotlib=cl_cnf.plotlib,method=scale_meth) |
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plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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if ev.extras['clustered']: |
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ggcol = 'grey' |
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@ -948,7 +951,7 @@ def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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hex_color = pl_ev[0].extras['color'] |
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lonsnomt = [ev.lon for ev in pl_ev] |
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latsnomt = [ev.lat for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.plotlib,method=scale_meth) for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple, mag_max, mag_min, plotlib=cl_cnf.map_plotlib,method=scale_meth) for ev in pl_ev] |
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ax.scatter(lonsnomt, latsnomt, s=sizenomt, marker=symbol, |
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c=hex_color, lw=0.5, zorder=3) |
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@ -966,7 +969,7 @@ def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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lonsnomt = [ev.lon for ev in pl_ev] |
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latsnomt = [ev.lat for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) for ev in pl_ev] |
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sizenomt = [mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) for ev in pl_ev] |
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ax.scatter(lonsnomt, latsnomt, s=sizenomt, marker='o', c=hex_col, |
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lw=0.5, zorder=4) |
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@ -974,7 +977,7 @@ def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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# clustered events with an MT |
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for ev in ev_mt: |
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mmt = ev.moment_tensor |
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markersize = mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) |
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markersize = mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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beachball.plot_beachball_mpl( |
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mmt, ax, |
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@ -1005,7 +1008,7 @@ def map_plot_carto(catalog, method, cc_cnf, cl_cnf, work_dir, fn=False):
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for i_ma, ma in enumerate(num.arange(lower,upper, step)): |
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markersize = mag_scale_log(ma, log_tuple,mag_max,mag_min, |
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plotlib=cl_cnf.plotlib,method=scale_meth) |
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plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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mag_handle = plt.plot((0,0.5), ls='', marker="o", markerfacecolor='None', |
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markeredgecolor='black', ms=markersize**0.5, color='k', label='%.1f' % ma)[0] |
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@ -3035,7 +3038,7 @@ def map_plot_freqmerge(catalog, method, cl_cnf):
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else: |
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lats_nocl.append(ev.lat) |
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lons_nocl.append(ev.lon) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,libmethod=scale_meth)) |
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s_nocl.append(mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,libmethod=scale_meth)) |
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# map dimensions: |
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lats_all = sorted([ev.lat for ev in catalog]) # if ev.extras['cluster_number'] != -1] |
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@ -3096,7 +3099,7 @@ def map_plot_freqmerge(catalog, method, cl_cnf):
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* pmt.magnitude_to_moment(ev.magnitude) |
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m6 = pmt.to6(mt) |
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data = (ev.lon, ev.lat, 10) + tuple(m6) + (1,0,0) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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m.gmt.psmeca( |
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in_rows=[data], |
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G=g_col, |
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@ -3113,13 +3116,13 @@ def map_plot_freqmerge(catalog, method, cl_cnf):
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g_col = util_clusty.color2rgb(ev.extras['color']) |
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for i in range(origins): |
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if ev.extras['origins'][i] == True: |
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s = '%s%sp' % (symbol_list[i], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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s = '%s%sp' % (symbol_list[i], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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#elif ev.extras['origins'][1] == True: |
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# s = '%s%sp' % (symbol_list[], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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# s = '%s%sp' % (symbol_list[], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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#elif ev.extras['origins'][2] == True: |
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# s = '%s%sp' % (symbol_list[], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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# s = '%s%sp' % (symbol_list[], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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#elif ev.extras['origins'][3] == True: |
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# s = '%s%sp' % (symbol_list[], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth)) |
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# s = '%s%sp' % (symbol_list[], mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth)) |
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m.gmt.psxy(in_columns=([ev.lon], [ev.lat]), |
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G=g_col, S=s, W='0.5p,%s' % g_col, |
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*m.jxyr) |
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@ -3134,7 +3137,7 @@ def map_plot_freqmerge(catalog, method, cl_cnf):
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* pmt.magnitude_to_moment(ev.magnitude) |
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m6 = pmt.to6(mt) |
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data = (ev.lon, ev.lat, 10) + tuple(m6) + (1,0,0) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.plotlib,method=scale_meth) |
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s = 'd%sp' % mag_scale_log(ev.magnitude, log_tuple,mag_max,mag_min,plotlib=cl_cnf.map_plotlib,method=scale_meth) |
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if ev.extras['origins'][0] == True: |
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m.gmt.psmeca( |
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in_rows=[data], |
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