Matplotlib 在堆叠图中对齐yaxis上的标签

我用jupyter绘制了一个堆叠的图像。绘图结果很好，但y轴上的标签无法与中心对齐

MWE如下所示

import numpy as np
import pandas as pd
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
import matplotlib.gridspec as gridspec
import pylab 
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt 
from matplotlib.lines import Line2D
import matplotlib.lines as mlines

def fit_data():

    fig = plt.figure(1,figsize=(15,15))
    ax1= fig.add_subplot(511,)
    ax1.scatter(data4['MJD'], data4['Favg'],  marker='o', color='red', s=15)
    ax1.errorbar(data4['MJD'], data4['Favg'], data4['Flux-err'], fmt='.', ecolor='black',color='red', elinewidth=1,capsize=3)
    ax1.set_title('NGC 4151 - Year - 1993', size = 18)

    ax2 = fig.add_subplot(512, sharex=ax1 )
    ax2.scatter(data5['MJD'], data5['Favg'],  marker='o', color='blue', s=15)
    ax2.errorbar(data5['MJD'], data5['Favg'], data5['Flux-err'], fmt='.', ecolor='black',color='blue', elinewidth=1,capsize=3)

    ax3 = fig.add_subplot(513, sharex=ax1 )
    ax3.scatter(data6['MJD'], data6['Favg'],  marker='o', color='green', s=15)
    ax3.errorbar(data6['MJD'], data6['Favg'], data6['Flux-err'], fmt='.', ecolor='black',color='green', elinewidth=1,capsize=3)

    ax4 = fig.add_subplot(514, sharex=ax1 )
    ax4.scatter(data7['MJD'], data7['Favg'],  marker='o', color='orange', s=15)
    ax4.errorbar(data7['MJD'], data7['Favg'], data7['Flux-err'], fmt='.', ecolor='black',color='orange', elinewidth=1,capsize=3)

    ax5 = fig.add_subplot(515, sharex=ax1 )
    ax5.scatter(data8['MJD'], data8['Favg'],  marker='o', color='sienna', s=15)
    ax5.errorbar(data8['MJD'], data8['Favg'], data8['Flux-err'], fmt='.', ecolor='black',color='sienna', elinewidth=1,capsize=3)

    plt.setp(ax1.get_xticklabels(), visible=False) # hide labels
    fig.subplots_adjust(hspace=0) # remove vertical space between subplots

    red_line = mlines.Line2D([], [], color='red', marker='o', markersize=5, label='NGC 4151 - 1325 $\AA$')
    ax1.legend(bbox_to_anchor=(1, 1), loc=1, borderaxespad=0, handles=[red_line])
    red_line = mlines.Line2D([], [], color='blue', marker='o', markersize=5, label='NGC 4151 - 1425 $\AA$')
    ax2.legend(bbox_to_anchor=(1, 1), loc=1, borderaxespad=0, handles=[red_line])
    red_line = mlines.Line2D([], [], color='green', marker='o', markersize=5, label='NGC 4151 - 1655 $\AA$')
    ax3.legend(bbox_to_anchor=(1, 1), loc=1, borderaxespad=0, handles=[red_line])
    red_line = mlines.Line2D([], [], color='orange', marker='o', markersize=5, label='NGC 4151 - 2475 $\AA$')
    ax4.legend(bbox_to_anchor=(1, 1), loc=1, borderaxespad=0, handles=[red_line])
    red_line = mlines.Line2D([], [], color='sienna', marker='o', markersize=5, label='NGC 4151 - 2725 $\AA$')
    ax5.legend(bbox_to_anchor=(1, 1), loc=1, borderaxespad=0, handles=[red_line])


    plt.xlabel('MJD $=$ 2985000 $-$ JD', ha='center',size=10)
    plt.ylabel('Continuum Flux (E$-$14 erg s$^{-1}$ cm$^{-2}$ $\AA^{-1}$)',ha = 'left', va= 'bottom', size=10)


    plt.tick_params(axis='both',which='minor',length=5,width=2,labelsize=18)
    plt.tick_params(axis='both',which='major',length=8,width=2,labelsize=18)
    plt.tick_params(direction='out', length=8, width=3)
    plt.tick_params(labelsize=7.5)


    plt.savefig("1993.jpeg")
    fig.set_size_inches(w=13,h=10)
    plt.show()
    plt.close()


fit_data()

---

如果增加字体大小，y标签将与y轴标记重叠。此外，标记图像的底部有粗体标记，这是不需要的。

您混合了

pyplot

和OO API，这总是会导致问题。有关简洁的解释，请参见

您正在代码中执行许多必要的操作（例如创建一个15x15的图形，然后将其调整为13x10），并且当您说不需要时，您明确要求使用

plt.tick_params（）

调用使用粗体勾号

以Yable为中心，我用<代码> >代码> >图>（）>代码> >，允许您将文本放置在图形坐标中，因此使用<代码> y＝0.5 < /Cl>确保文本位于图中。您需要调整X位置，以便不干扰您的yytk。

下面是一个简化的代码：

fig = plt.figure(1,figsize=(13,10))

ax1 = fig.add_subplot(511)
ax2 = fig.add_subplot(512, sharex=ax1)
ax3 = fig.add_subplot(513, sharex=ax1)
ax4 = fig.add_subplot(514, sharex=ax1)
ax5 = fig.add_subplot(515, sharex=ax1)
fig.subplots_adjust(hspace=0)

for ax in [ax1,ax2,ax3,ax4]:
    ax.tick_params('x', bottom=False, labelbottom=False)

ax1.set_title('NGC 4151 - Year - 1993', size = 18)
ax5.set_xlabel('MJD $=$ 2985000 $-$ JD', size=10)
fig.text(0.075,0.5,'Continuum Flux (E$-$14 erg s$^{-1}$ cm$^{-2}$ $\AA^{-1}$)', ha='center', va='center', size=10, rotation=90)

plt.show()