很抱歉,如果这是一个重复的问题,我找不到任何适用于我的代码(对此仍然很新!)
我想移动x轴与y = 0对齐,谢谢!
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
values = pd.read_csv(r'C:\Project\Mech_Data.csv', index_col=0)
g = sns.lmplot(x="mean", y="difference", hue="Group", markers=["o", "x"], data=values, palette=colors, fit_reg=False, legend=False)
plt.xlim(xmin=0)
plt.plot([0, 1400],[127.5461,127.5461], linewidth=2, color='#f1e4d1',linestyle=':') #mean
plt.plot([0, 1400],[-217.3879288,-217.3879288], linewidth=2, color='#f1e4d1',linestyle='-.') #-SD
plt.plot([0, 1400],[472.4801288,472.4801288], linewidth=2, color='#f1e4d1',linestyle='-.') #+SD
leg = plt.legend(loc='upper left')
leg.get_frame().set_edgecolor('b')
plt.title('Bland-Altman', loc='left', fontsize=12, fontweight=0, color='#512443')
plt.xlabel('Mean')
plt.ylabel('Difference')
plt.tight_layout()
plt.show()
答案 0 :(得分:0)
您需要在plt.show()
来电之前添加以下行。
# get the axis
ax = plt.gca()
# enforce placement of x-axis at y=0
# option 1)
ax.spines['bottom'].set_position('zero')
# option 2)
ax.spines['bottom'].set_position(('data', 0.))