Python-matplotlib 多类别学术散点图制作

#开始绘图
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator

plt.rcParams['font.family'] = "Times New Roman"
x = np.arange(0,len(scatter),1)
y1 = scatter.D1.values
y2 = scatter.D2.values
y3 = scatter.D3.values
y4 = scatter.D4.values
y5 = scatter.D5.values
y6 = scatter.D6.values

fig,ax = plt.subplots(figsize=(4.5,3),dpi=300)
scatter_01 = ax.plot(x,y1,marker='s',c='k',lw=.5,markerfacecolor='dimgray',markeredgecolor='dimgray',
                     label='D1')
scatter_02 = ax.plot(x,y2,marker='s',c='k',ls='--',lw=.5,markerfacecolor='white',markeredgewidth=.4,
                    markeredgecolor='k',label='D2')
scatter_03 = ax.plot(x,y3,marker='o',c='k',lw=.8,ls=':',markerfacecolor='dimgray',markeredgecolor='dimgray',
                    label='D3')
scatter_04 = ax.plot(x,y4,marker='o',c='k',lw=.5,markerfacecolor='white',markeredgewidth=.4,
                    markeredgecolor='k',label='D4')

scatter_05 = ax.plot(x,y5,marker='^',c='k',lw=.5,ls='-.',markerfacecolor='k',markeredgecolor='k',
                    label='D5')
scatter_06 = ax.plot(x,y6,marker='^',c='k',ls='--',lw=.5,markerfacecolor='white',markeredgewidth=.4,
                    markeredgecolor='k',label='D6')

#修改次刻度
yminorLocator = MultipleLocator(2.5) #将此y轴次刻度标签设置为0.1的倍数
ax.yaxis.set_minor_locator(yminorLocator)
ax.tick_params(which='major',direction='out',length=4,width=.5)
ax.tick_params(which='minor',direction='out',length=2,width=.5)
ax.set_ylim(bottom=10,top=45)
for spine in ['top','bottom','left','right']:
    ax.spines[spine].set_linewidth(.5)
ax.legend(frameon=False,ncol=3,loc='upper center',fontsize=8.5)

text_font = {'size':'13','weight':'bold','color':'black'}
ax.text(.03,.91,"(a)",transform = ax.transAxes,fontdict=text_font,zorder=4)
ax.text(.87,.04,'\nVisualization by DataCharm',transform = ax.transAxes,
        ha='center', va='center',fontsize = 4,color='black',fontweight='bold',family='Roboto Mono')
plt.savefig(r'F:\DataCharm\SCI paper plots\sci_scatter.png',width=4.5,height=3,
            dpi=900,bbox_inches='tight')
plt.show()

for spine in ['top','bottom','left','right']:
    ax.spines[spine].set_linewidth(.5)