I gotta run, but here’s something to get you started:
import numpy as np
import matplotlib
matplotlib.rcParams['text.usetex'] = False
import matplotlib.pyplot as plt
import pandas
df = pandas.DataFrame(np.random.uniform(size=37)*100, columns=['A'])
threshold = 75
fig, ax = plt.subplots(figsize=(8,3))
good = df['A'][df['A'] >= threshold]
bad = df['A'][df['A'] < threshold]
ax.bar(left=good.index, height=good, align='center', color="ForestGreen", zorder=5)
ax.bar(left=bad.index, height=bad, align='center', color="Firebrick", zorder=5)
ax.axhline(y=threshold, linewidth=2, color="ForestGreen", zorder=0)
ax.set_xticks(df.index)
ax.set_xlim(left=df.index[0]-0.75, right=df.index[-1]+0.75)
def annotateBars(row, ax=ax):
if row['A'] < 20:
color="black"
vertalign = 'bottom'
vertpad = 2
else:
color="white"
vertalign = 'top'
vertpad = -2
ax.text(row.name, row['A'] + vertpad, "{:.1f}%".format(row['A']),
zorder=10, rotation=90, color=color,
horizontalalignment="center",
verticalalignment=vertalign,
fontsize=8, weight="heavy")
junk = df.apply(annotateBars, ax=ax, axis=1)
And that gives me:
