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<p>我已经设法在右边画出了y轴记号作为百分比,但是标签没有吸引力,我想把它们改成10的倍数。如何更改刻度,使其为10^2%(100%)、10^1%、10^0%等,但仍与左侧的刻度匹配?在</p>
<pre><code>from datetime import datetime
from dateutil.relativedelta import relativedelta
from numpy import nan, arange
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
import sys
twentytwo = {}
twentytwo[60.0] = [578, 85, 14, 5, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
totNEA2014 = 1266
def to_percent(y, position):
# Ignore the passed in position. This has the effect of scaling the default
# tick locations.
s = str(100 * (y/totNEA2014))
if matplotlib.rcParams['text.usetex'] == True:
return s + r'$\%$'
else:
return s + '%'
# Plot Details
bar_width = 0.18
line_width = 1
opacity = 1.
centre_bar_positions = arange(20)
zeros = [0 for k in range(len(centre_bar_positions))]
# Make bar plots
fig = plt.figure(figsize=[12, 9])
ax1 = fig.add_subplot(111)
bar_60_22 = plt.bar(centre_bar_positions, twentytwo[60.0], bar_width, bottom=10**-1, alpha=opacity, color='green', log=True, label='V < 22')
plt.title("Some Place")
plt.ylabel("Number of NEAs")
plt.xlabel("Number of apparitions")
ax1.set_ylim([ax1.set_ylim()[0], totNEA2014])
ax1.set_yscale("log")
plt.legend(loc='best')
ax2 = ax1.twinx()
ax2.yaxis.set_label_position("right")
plt.bar(centre_bar_positions, zeros, bar_width, bottom=10**-1, color='white', edgecolor='grey', linewidth=line_width, hatch='0', log=True)
ax2.set_ylim([ax1.set_ylim()[0], ax1.set_ylim()[1]])
formatter = FuncFormatter(to_percent)
plt.gca().yaxis.set_major_formatter(formatter)
plt.ylabel("Percentage of NEAs discovered in 2014")
plt.xlim([.6, 5.8])
plt.show()
</code></pre>
<p>这是我的代码目前产生的结果(我减少了上面代码中的条数):
<img src="https://i.stack.imgur.com/5mfXe.jpg" alt="enter image description here"/></p>