隐藏特定的X轴刻度标签

Question

I'm interested in having more space added between the last scatter point and the Y2 (right) spine, rather than having the point immediately adjacent to the spine (see attached PNG ).

I can add the desired space by adding a year to the plt.ticks command but then "2017" is displayed which I don't want.

Is there a way to either (a) add space between the last scatter point and the spine using an existing command or (b) use the approach I attempted and hide or make the last label match the background color, or (c) since I'm new to matplotlib and I'm not familiar with all of the terminology, direct me to an existing link?

Thanks in advance.

plt.xticks(["1975-01-01", "1980-01-01", "1985-01-01", "1990-01-01", "1995-01-01", "2000-01-01", "2005-01-01", "2010-01-01", "2015-01-01", "2017-01-01"])

Answer 1

I find that using datetime objects gives ticks in the right place without modifying plt.ticks directly:

import matplotlib.pyplot as plt
from datetime import datetime

# A few example data points
dates = ['1979-04-3', '1990-05-06', '2000-12-12', '2015-04-20']
dates = [datetime.strptime(date, '%Y-%m-%d') for date in dates]
y = [200, 315, 401, 513]

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(dates, y, 'd')
ax.set_ylim(0,800)

# set the x-axis limits explicitly, using datetime objects
xmin = datetime.strptime('1975-01-01', '%Y-%m-%d')
xmax = datetime.strptime('2017-01-01', '%Y-%m-%d')
ax.set_xlim(xmin, xmax)

plt.show()

If you do need finer control over the x-ticks, you could set them to the years 1975-2015 (inclusive) in 5-year intervals with:

ax.set_xticks([datetime.strptime(str(y), '%Y') for y in range(1975,2020,5)])