在单个轴上绘制值和标签（一维散点图）

Question

How to plot not only values but also the labels on an axis with matplotlib with a dict like this:

D = {'label1': 7.33, 'label2': 7.12, 'label3': 4.26, 'label4': 6.98}

?

it should output

This goal is to see the outliers very easily graphically, ie a 1D-scatter plot, like this:

but with a label near each point.

Answer 1

You could use the minor and major ticklabels to alternate between showing the label above and below the axis.

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

D = {'label1': 7.33, 'label2': 7.12, 'label3': 4.26, 'label4': 6.98}

labs, vals = zip(*sorted([(k,v) for k,v in D.items()], key=lambda t: t[1] ))
ticks = ["{}\n{}".format(k,v) for k,v in zip(labs,vals)]

ax.set_xticks(vals[::2])
ax.set_xticklabels(ticks[::2])
ax.set_xticks(vals[1::2], minor=True)
ax.set_xticklabels(ticks[1::2], minor=True, va="bottom")

ax.tick_params(which="minor", direction="in", pad=-10 )


plt.plot(vals, list(range(len(vals))))
plt.show()