use*_*498 4 python matplotlib python-2.7
我一直在使用主机绘制我的图形,我想从x轴取出十进制数字.我的下面的代码有点简化,它代表了我需要的东西.我希望x范围与RUNS矢量完全相同.非常感谢.
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import numpy as np
import mpl_toolkits.axisartist as AA
import matplotlib.gridspec as gridspec
gs = gridspec.GridSpec(2, 1, height_ratios=[1, 1])
RUNS = [1,2,3,4,5]
NV = [26.3, 28.4, 28.5, 28.45, 28.5]
host = host_subplot(gs[0], axes_class = AA.Axes)
host.set_xlabel("Iteration")
host.set_ylabel("Stress (MPa)")
sv, = host.plot(RUNS,NV, marker = 'o', color = 'gray')
plt.grid(True)
plt.show()
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您也可以使用MaxNLocator将主要刻度标签设置为整数,但它并不简单.
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import numpy as np
import mpl_toolkits.axisartist as AA
import matplotlib.gridspec as gridspec
from matplotlib.ticker import MaxNLocator ## Import MaxNLocator
gs = gridspec.GridSpec(2, 1, height_ratios=[1, 1])
RUNS = [1,2,3,4,5]
NV = [26.3, 28.4, 28.5, 28.45, 28.5]
host = host_subplot(gs[0], axes_class = AA.Axes)
host.set_xlabel("Iteration")
host.set_ylabel("Stress (MPa)")
x_ax = host.axes.get_xaxis() ## Get X axis
x_ax.set_major_locator(MaxNLocator(integer=True)) ## Set major locators to integer values
sv, = host.plot(RUNS,NV, marker = 'o', color = 'gray')
plt.grid(True)
plt.show()
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