我需要标尺x轴。这是我的代码:
plt.bar(critical_pressures_reversed, mercury_volume_scaled, bottom = 0, log = True, linewidth=0, align="center",width=.1)
plt.title("Mercury intrusion", fontsize=20)
plt.xlabel("Critical Pressure $P_c \, [kPa]$", fontsize=16)
plt.ylabel("Mercury volume $V_m \, [\mu m^3]$", fontsize=16)
plt.grid(b=True, which='major', color='black', linestyle='-', linewidth=1)
plt.grid(b=True, which='minor', color='gray', linestyle='-', linewidth=0.15)
frame = plt.gca()
figure = plt.gcf()
frame.set_xscale('log')
frame.set_axisbelow(True)
figure.set_size_inches(12, 6)
plt.savefig("intrusion_6n_press.png", dpi=300, bbox_inches='tight')
plt.close()导致的阴谋:

如何强制绘制宽度恒定的条形图?
我使用matplotlib (1.4.2)
发布于 2014-11-05 20:38:18
您可以使用plt.fill,但是条形图的宽度应该根据日志改变。例如,对于随机数据集,以下行:
import matplotlib.pyplot as plt
import numpy as np
x, y = np.random.randint(1,51,10), np.random.randint(1,51,10)
width = 1e-2
for i in range(len(x)):
plt.fill([10**(np.log10(x[i])-width), 10**(np.log10(x[i])-width), 10**(np.log10(x[i])+width), 10**(np.log10(x[i])+width)],[0, y[i], y[i], 0], 'r', alpha=0.4)
plt.bar(x,y, bottom = 0, log = True, linewidth=0, align="center",width=.1, alpha=0.4)将产生下面的数字。您需要做的一切就是选择一个合适的width参数。

https://stackoverflow.com/questions/26759813
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