在刻度之间居中标签

刻度标签相对于它们关联的刻度对齐。可以使用水平对齐属性控制对齐“中心”、“左”或“右”：

for label in ax.get_xticklabels():
    label.set_horizontalalignment('right')

但是，没有直接的方法将标签在刻度之间居中。为了伪造这种行为，可以在主要刻度之间的次要刻度上放置一个标签，并隐藏主要刻度标签和次要刻度。

这是一个标记月份的示例，位于刻度之间。

import numpy as np
import matplotlib.cbook as cbook
import matplotlib.dates as dates
import matplotlib.ticker as ticker
import matplotlib.pyplot as plt

# Load some financial data; Google's stock price
r = (cbook.get_sample_data('goog.npz', np_load=True)['price_data']
     .view(np.recarray))
r = r[-250:]  # get the last 250 days

fig, ax = plt.subplots()
ax.plot(r.date, r.adj_close)

ax.xaxis.set_major_locator(dates.MonthLocator())
# 16 is a slight approximation since months differ in number of days.
ax.xaxis.set_minor_locator(dates.MonthLocator(bymonthday=16))

ax.xaxis.set_major_formatter(ticker.NullFormatter())
ax.xaxis.set_minor_formatter(dates.DateFormatter('%b'))

# Remove the tick lines
ax.tick_params(axis='x', which='minor', tick1On=False, tick2On=False)

# Align the minor tick label
for label in ax.get_xticklabels(minor=True):
    label.set_horizontalalignment('center')
imid = len(r) // 2
ax.set_xlabel(str(r.date[imid].item().year))
plt.show()