def plot(self, experiment, **kwargs):
"""Plot a faceted histogram view of a channel"""
kwargs.setdefault('histtype', 'stepfilled')
kwargs.setdefault('alpha', 0.5)
kwargs.setdefault('antialiased', True)
if not self.subset:
x = experiment.data
else:
x = experiment.query(self.subset)
num_bins = num_hist_bins(x[self.channel])
xmin = np.amin(x[self.channel])
xmax = np.amax(x[self.channel])
bin_width = (xmax - xmin) / num_bins
bins = np.arange(xmin, xmax, bin_width)
kwargs.setdefault('bins', bins)
g = sns.FacetGrid(x,
col = (self.xfacet if self.xfacet else None),
row = (self.yfacet if self.yfacet else None),
hue = (self.huefacet if self.huefacet else None),
legend_out = False)
g.map(plt.hist, self.channel, **kwargs)
g.add_legend()
def plot(self, experiment, **kwargs):
"""Plot a faceted histogram view of a channel"""
#kwargs.setdefault('histtype', 'stepfilled')
#kwargs.setdefault('alpha', 0.5)
kwargs.setdefault('edgecolor', 'none')
#kwargs.setdefault('mincnt', 1)
#kwargs.setdefault('bins', 'log')
kwargs.setdefault('antialiased', True)
if not self.subset:
x = experiment.data
else:
x = experiment.query(self.subset)
xmin, xmax = (np.amin(x[self.xchannel]), np.amax(x[self.xchannel]))
ymin, ymax = (np.amin(x[self.ychannel]), np.amax(x[self.ychannel]))
# to avoid issues with singular data, expand the min/max pairs
xmin, xmax = mtrans.nonsingular(xmin, xmax, expander=0.1)
ymin, ymax = mtrans.nonsingular(ymin, ymax, expander=0.1)
extent = (xmin, xmax, ymin, ymax)
kwargs.setdefault('extent', extent)
xbins = num_hist_bins(experiment[self.xchannel])
ybins = num_hist_bins(experiment[self.ychannel])
bins = np.mean([xbins, ybins])
kwargs.setdefault('bins', bins) # Do not move above. don't ask.
g = sns.FacetGrid(x,
col = (self.xfacet if self.xfacet else None),
row = (self.yfacet if self.yfacet else None),
hue = (self.huefacet if self.huefacet else None))
g.map(plt.hexbin, self.xchannel, self.ychannel, **kwargs)
