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Fix zorder issue with collections.

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This commit is contained in:
Timothy Allen 2018-01-27 11:27:09 +02:00
parent 2bf2d7d359
commit 6595ffd2ab
1 changed files with 17 additions and 19 deletions
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36
glucometer_graphs.py
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@ -157,16 +157,15 @@ def main():
figure.set_tight_layout({'pad':3})
''' Draw the target range '''
ax.axhspan(args.low, args.high, facecolor='#0072b2', edgecolor='#a8a8a8', alpha=0.1, zorder=5)
ax.axhspan(args.low, args.high, facecolor='#0072b2', edgecolor='#a8a8a8', alpha=0.1, zorder=15)
''' The maxmin curve (maximum and minimum values for each 15 minute
''' The maxmin fill (maximum and minimum values for each 15 minute
period of the data set, by day) '''
generate_plot(intervaldata,
ax=ax,
transforms={'spline':False, 'maxmin':True},
transforms={'spline':True, 'maxmin':True},
args=args,
color='#979797',
alpha=0.5,
)
''' The graph with a bezier curve applied, and a boundary transform to change line colour
@ -234,15 +233,14 @@ def main():
figure.set_tight_layout({'pad':3})
''' Draw the target range '''
ax.axhspan(args.low, args.high, facecolor='#0072b2', edgecolor='#a8a8a8', alpha=0.1, zorder=5)
ax.axhspan(args.low, args.high, facecolor='#0072b2', edgecolor='#a8a8a8', alpha=0.1, zorder=15)
''' The maxmined curve of maximum and minimum values '''
''' The maxmin fill of maximum and minimum values '''
generate_plot(intervaldata,
ax=ax,
transforms={'spline':False, 'maxmin':True, 'avga1c':a_median},
transforms={'spline':True, 'maxmin':True, 'avga1c':a_median},
args=args,
color='#979797',
alpha=0.5,
)
''' The graph with a bezier curve applied, and a boundary transform to change line colour
@ -288,7 +286,7 @@ def main():
figure.set_tight_layout({'pad':3})
''' Draw the target range '''
ax.axhspan(args.low, args.high, facecolor='#0072b2', edgecolor='#a8a8a8', alpha=0.2, zorder=5)
ax.axhspan(args.low, args.high, facecolor='#0072b2', edgecolor='#a8a8a8', alpha=0.2, zorder=15)
''' Draw graph with a spline tranform and labels '''
generate_plot(data,
@ -358,7 +356,7 @@ def generate_plot(data, ax=None, transforms={}, args=[], **plot_args):
''' Formatting for axis labels, using date calculations from above '''
ax.set_xlabel('Time', fontsize=9)
ax.set_xbound(firstminute, lastminute)
ax.grid(axis='x', color = '#f0f0f0', zorder=1)
ax.grid(axis='x', color = '#f0f0f0', zorder=5)
ax.set_xticks(xtimes)
ax.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M"))
ax.xaxis.set_ticks_position('none')
@ -367,7 +365,7 @@ def generate_plot(data, ax=None, transforms={}, args=[], **plot_args):
ax.set_ylabel('Blood Glucose (' + args.units + ')', fontsize=9)
ax.set_ybound(args.graph_min, args.graph_max)
ax.grid(axis='y', color = '#d0d0d0', linestyle = (1,(0.5,2)), zorder=1)
ax.grid(axis='y', color = '#d0d0d0', linestyle = (1,(0.5,2)), zorder=5)
ax.set_yticks([a for a in range(int(args.graph_min), int(args.graph_max), int(y_tick_freq))])
ax.yaxis.set_major_formatter(mticker.FormatStrFormatter("%d"))
ax.yaxis.set_ticks_position('none')
@ -430,13 +428,13 @@ def generate_plot(data, ax=None, transforms={}, args=[], **plot_args):
ax.annotate(gmtext, fontsize=9, xy=(0.95, 0.85),
xycoords='axes fraction', verticalalignment='top', horizontalalignment='right',
zorder=40, bbox=dict(facecolor=GREEN, edgecolor='#009e73', alpha=0.7, pad=8),
zorder=60, bbox=dict(facecolor=GREEN, edgecolor='#009e73', alpha=0.7, pad=8),
)
if transform == 'avga1c' and isinstance(transforms.get(transform), (int, float)):
ax.annotate('Median HbA1c: %.1f%%' % round(transforms.get('avga1c'), 1), fontsize=9,
xy=(0.05, 0.85), xycoords='axes fraction',
verticalalignment='top', horizontalalignment='left',
zorder=40, bbox=dict(facecolor=BOXYELLOW, edgecolor='#e69f00', alpha=0.7, pad=8),
zorder=60, bbox=dict(facecolor=BOXYELLOW, edgecolor='#e69f00', alpha=0.7, pad=8),
)
if args.units == UNIT_MMOLL:
@ -465,7 +463,7 @@ def generate_plot(data, ax=None, transforms={}, args=[], **plot_args):
symbol += '\N{GREEN APPLE}'
symbol += '$'
ax.annotate(symbol, xy=(x_pos, args.graph_max-y_offset),
rotation=45, zorder=25, fontsize=10,
rotation=45, zorder=40, fontsize=10,
fontproperties=args.customfont,
)
@ -477,7 +475,7 @@ def generate_plot(data, ax=None, transforms={}, args=[], **plot_args):
p = np.array([x, y]).T.reshape(-1, 1, 2)
segments = np.concatenate([p[:-1], p[1:]], axis=1)
''' Colour the line according to the values in norm and the colours in cmap '''
lc = LineCollection(segments, cmap=cmap, norm=norm)
lc = LineCollection(segments, cmap=cmap, norm=norm, alpha=1, zorder=30)
lc.set_array(y)
@ -486,16 +484,16 @@ def generate_plot(data, ax=None, transforms={}, args=[], **plot_args):
elif 'fill' in transforms and transforms.get('fill') is True:
z = np.clip(y, None, args.high)
ax.fill_between(x, y, z, interpolate=True, facecolor=YELLOW, alpha=0.7, zorder=12, **plot_args)
ax.fill_between(x, y, z, interpolate=True, facecolor=YELLOW, alpha=0.7, zorder=20, **plot_args)
z = np.clip(y, args.low, None)
ax.fill_between(x, y, z, interpolate=True, facecolor=RED, alpha=0.7, zorder=12, **plot_args)
ax.fill_between(x, y, z, interpolate=True, facecolor=RED, alpha=0.7, zorder=20, **plot_args)
elif maxmin:
ax.fill_between(x, y, z, interpolate=True, zorder=10, **plot_args)
ax.fill_between(x, y, z, interpolate=True, alpha=0.5, zorder=10, **plot_args)
else:
ax.plot(x, y, '-', zorder=20, **plot_args)
ax.plot(x, y, '-', alpha=1, zorder=30, **plot_args)
return ax