以下内容已从matplotlib date_demo.py进行了修改。我删除了他们的一些评论并添加了我自己的评论以表明更改。
import datetime
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.cbook as cbook
years = mdates.YearLocator() # every year
months = mdates.MonthLocator() # every month
yearsFmt = mdates.DateFormatter('%Y')
datafile = cbook.get_sample_data('goog.npy')
try:
r = np.load(datafile, encoding='bytes').view(np.recarray)
except TypeError:
r = np.load(datafile).view(np.recarray)
fig, ax = plt.subplots()
ax.plot(r.date, r.adj_close)
# format the ticks
ax.xaxis.set_major_locator(years)
ax.xaxis.set_major_formatter(yearsFmt)
ax.xaxis.set_minor_locator(months)
datemin = datetime.date(r.date.min().year, 1, 1)
datemax = datetime.date(r.date.max().year + 1, 1, 1)
ax.set_xlim(datemin, datemax)
# format the coords message box
def price(x):
return '$%1.2f' % x
ax.format_xdata = mdates.DateFormatter('%Y-%m-%d')
ax.format_ydata = price
ax.grid(True)
# rotates and right aligns the x labels, and moves the bottom of the
# axes up to make room for them
fig.autofmt_xdate()
# My addition:
# >>> [u'', u'', u'', u'', u'', u''] # without plt.tight_layout()
# >>> [u'2004', u'2005', u'2006', u'2007', u'2008', u'2009'] # with plt.tight_layout()
# plt.tight_layout()
print [tl.get_text() for tl in ax.xaxis.get_ticklabels()]
plt.show()
为什么我需要致电plt.tight_layout()来访问x_ticklabel文字？有没有办法访问它而无需致电plt.tight_layout()？
类似的问题似乎被问到here，但没有真正的解决方案。