def plot_values_by_year(values, dates, labels, show=False, outjson=None, outimg=None):
"""Plot values (counts or proportions) by year.
"""
# Build data frame
df = pd.DataFrame(values, index=dates, columns=labels)
# Build Vincent plot
plot = StackedBar(df, height=600, width=600)
# Configure colors
plot.colors(brew='Set1')
# Configure legends
plot.legends.append(Legend(values=labels[::-1], fill='color'))
plot.legends[0].properties = LegendProperties(
size=ValueRef(value=18)
)
# Configure axes
plot.axes[0].properties = AxisProperties(labels=PropertySet(
angle=ValueRef(value=-45),
dx=ValueRef(value=-20),
font_size=ValueRef(value=18)
))
plot.scales['y'].domain = [0, 1]
# Optionally display
if show:
plot.display()
# Optionally save
save_plot(plot, outjson, outimg)
return plot
def plot_any_value_by_year(values, dates, show=True, outjson=None, outimg=None):
"""
"""
# Build data frame
df = pd.DataFrame(values, index=dates)
# Build Vincent plot
plot = StackedBar(df, height=600, width=600)
# Configure axes
plot.scales['y'].domain = [0, 1]
# Optionally display
if show:
plot.display()
# Optionally save
save_plot(plot, outjson=outjson, outimg=outimg)
return plot