[英]matplotlib - plotting two histograms in same axes with overlapping x/y ticks
I'm trying to plot histograms in multiple axes of my plot.我试图在我的情节的多个轴上绘制直方图。 My script below is doing that, but I simply can't standardize the x/y ticks for each
ax
ie with no overlapping, a common interval range for each ax.我下面的脚本正在这样做,但我根本无法标准化每个
ax
的 x/y 刻度,即没有重叠,每个轴的公共间隔范围。
I wanna specify the x/y ticks for each ax
instead of setting global ticks for the whole plot.我想指定的x / y蜱每个
ax
,而不是对整个情节设置全局蜱。
The output I have so far is below, too.到目前为止,我的输出也在下面。 As you can see the ticks are messed up, specially in the last
ax
.正如您所看到的,蜱虫被弄乱了,特别是在最后一个
ax
。 I've tried ax_set_x/yticks, plt.x/yticks.... but I'm pretty sure there is something I'm doing wrong.我试过 ax_set_x/yticks、plt.x/yticks .... 但我很确定我做错了什么。 Thanks a lot!!
非常感谢!!
The script:剧本:
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as ss
data = np.random.normal(0.0005, 0.001,1000)
data2 = np.random.normal(0.0004, 0.001,1000)-data
diff = {k:[data, data2] for k in range(3)}
for k in diff:
print k
ttls= ['SC2 vs SC1', 'SC4 vs SC3','SC6 vs SC5']
colors = ['chocolate', 'green']
leg = ['var1', 'var2']
bins = 100
fig, axes = plt.subplots(nrows=3, ncols=1, figsize=(8.27, 11.69))
fig.add_subplot(111, frameon=False)
fig.suptitle('Normed Histograms', color='#6E6E6E', fontsize=10, fontweight='bold')
for ax, ttl, arr in zip(axes, ttls, diff.itervalues()):
ax.hist((arr[0], arr[1]),bins, histtype='stepfilled', density=True, color=colors, label=leg, alpha=0.70)
for i, v in enumerate(arr):
mean = np.mean(v)
std = np.std(v)
xRange = np.linspace(np.min(v), np.max(v))#, len(cs))
nd = ss.norm.pdf(xRange, mean, std)
if i == 0:
socNd = ax.plot(xRange, nd, color='r', alpha=0.70, linewidth=0.8, label="fitted PDF*")
socLine = ax.axvline(mean, color=colors[0], linestyle = ':',linewidth=2, label="Mean value")
if i == 1:
bcNd = ax.plot(xRange, nd, color='r', alpha=0.70, linewidth=0.8)
bcLine = ax.axvline(mean, color=colors[1], linestyle = ':',linewidth=2)
ax.set_title(ttl, loc='left', color='#6E6E6E', fontsize=8.5, fontweight='bold', pad=12)
ax.set_ylabel("Frequency", color='#6E6E6E', fontsize=8)
axes[2].legend(loc='lower center', bbox_to_anchor=(0.5, -0.5),ncol=4)
axes[2].set_xlabel("xlabel", fontsize=8, labelpad=3)
plt.subplots_adjust(hspace=0.7)
plt.show()
You are creating you 3 subplots using fig, axes = plt.subplots(...)
you are then creating another subplot on top of your existing 3. However because you have set frameon=False
only the tick and tick labels are shown (try removing the frameon=False
and you will see the problem).您正在使用
fig, axes = plt.subplots(...)
创建 3 fig, axes = plt.subplots(...)
然后在现有 3 的顶部创建另一个子图。但是,因为您设置了frameon=False
只显示刻度和刻度标签(尝试删除frameon=False
,您将看到问题)。
The solution is to simply remove fig.add_subplot(111, frameon=False)
so that you are not creating an extra set of axes.解决方案是简单地删除
fig.add_subplot(111, frameon=False)
以便您不会创建额外的一组轴。
The resulting graph for me looks like:我的结果图如下所示:
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