问当eps产生不可用的eps时，保存图

EN

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
path = 'D:\\'

# Set up the matplotlib figure
f, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 6), sharex=True)

# Generate some sequential data
x = np.arange(60)
y1 = np.random.standard_normal(60)
f1 = sns.barplot(x, y1, palette="BuGn_d", ax=ax1)
ax1.set_ylabel("t-values")
ax1.set_xlabel("Lag $r_t$")
f1.text(35, 4, 'OLS: $\\frac{r_t}{\\sigma_{t-1}}= \\alpha +'
               '\\beta_{h} \\frac{r_{t-h}}{\\sigma_{t-h-1}} +'
               '\\epsilon_{t}$', fontsize=14)
y2 = np.random.standard_normal(60)
f2 = sns.barplot(x, y2, palette="RdBu_r", ax=ax2)
ax2.set_ylabel("t-values")
ax2.set_xlabel("Lag $r_t$")
f2.text(35, 4, 'OLS: $\\frac{r_t}{\\sigma_{t-1}}= \\alpha +'
               '\\beta_{h} sign(r_{t-h}) + \\epsilon_{t}$', fontsize=14)

sns.despine(bottom=True)
plt.setp(f.axes, yticks=[-3,-1,1,3,5])
plt.tight_layout(h_pad=3)
f.suptitle('t-values of lagged returns (Driscoll Kraay robust SE)')

f.savefig('\\'.join([path,'t_stats_robust.jpg']), format='jpg', dpi=1000,
          orientation='landscape')
f.savefig('\\'.join([path,'t_stats_robust.eps']), format='eps', dpi=1000,
          orientation='landscape')