matplotlib中的FormatStrFormatter和Latex做配合

Question

我有以下代码：

import matplotlib.pyplot as plt
from matplotlib.ticker import (MultipleLocator,
                               FormatStrFormatter,
                               AutoMinorLocator)

params = {
        'text.usetex' : True,
        'font.size'   : 18,
        'font.family' : 'lmodern',
        }
plt.rcParams.update(params) # <--- without font settings FormatStrFormatter works

x = [1, 5, 6]
y = [-800, 600, -300]

fig, (ax1, ax2) = plt.subplots(figsize = (10,10), nrows=2, ncols=1)
ax1.plot(x, y)
ax2.plot(x, y)

ax1.yaxis.set_ticks_position('both')
ax2.yaxis.set_ticks_position('both')
ax1.tick_params(axis="y", labelright=True)
ax2.tick_params(axis="y", labelright=True)
ax1.yaxis.set_major_formatter(FormatStrFormatter('%4.0f'))
ax2.yaxis.set_major_formatter(FormatStrFormatter('%4.0f'))
    
plt.show()

给出这个结果：

如何更好地对齐右 y 轴上的数字？

当我评论时

#plt.rcParams.update(params)

我得到了想要的结果：

请问如何在代码中设置这种对齐方式和字体？甚至更好 - 如何在 2、4、6、8（向左）或单位（向右）下对齐零？

咨询后：

import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator

params = {
        'text.usetex' : True,
        'font.size'   : 10,
        'font.family' : 'lmodern',
        }
plt.rcParams.update(params) # <--- without font settings FormatStrFormatter works

x = [1, 5, 6]
y = [-800, 600, -300]

fig, (ax1, ax2) = plt.subplots(figsize = (10,10), nrows=2, ncols=1)
ax1.plot(x, y)
ax2.plot(x, y)

ax1.yaxis.set_ticks_position('both')
ax2.yaxis.set_ticks_position('both')
ax1.tick_params(axis="y", labelright=True)
ax2.tick_params(axis="y", labelright=True)
ax1.yaxis.set_major_locator(MultipleLocator(200))
ax1.yaxis.set_major_locator(MultipleLocator(200))
plt.tight_layout()    
plt.show()

Answer 1

如果您分离绘图的左右轴，那么您可以单独更改它们的对齐方式和填充。

完整代码：

import numpy as np
import matplotlib.pyplot as plt
params = {
        'text.usetex' : True,
        'font.size'   : 10,
        'font.family' : 'lmodern',
        }
plt.rcParams.update(params) # <--- without font settings FormatStrFormatter works

x = [1, 5, 6]
y = [-800, 600, -300]
ax_dist = 100

fig, (ax1, ax3) = plt.subplots(figsize = (10,10), nrows=2, ncols=1)
ax1.plot(x, y)
ax3.plot(x, y)

ax2 = ax1.twinx()
ax4 = ax3.twinx()
ax1.set_ylim([- ax_dist + min(y), ax_dist + max(y)])
ax2.set_ylim(ax1.get_ylim())
ax3.set_ylim(ax1.get_ylim())
ax4.set_ylim(ax1.get_ylim())

for tick2, tick4 in zip(ax2.yaxis.get_majorticklabels(), ax4.yaxis.get_majorticklabels()):
    tick2.set_horizontalalignment("right")
    tick4.set_horizontalalignment("right")
    
for tick2, tick4 in zip(ax2.get_yaxis().get_major_ticks(), ax4.get_yaxis().get_major_ticks()):
    tick2.set_pad(24)
    tick4.set_pad(24)

plt.show()

matplotlib中的FormatStrFormatter和Latex做配合

FormatStrFormatter and Latex in matplotlib do to cooperate

format

matplotlib

python-3.x