我想绘制X_train1_raw

X_train1_raw.shape
(2039,17)

根据：

n_splits = 5
tscv = TimeSeriessplit(n_splits = n_splits)

plt.figure(1)
index = 1
fig,ax = plt.subplots(2,1,figsize=(24,7))
plt.style.use('seaborn-white')
fig.suptitle('',fontsize=20)
fig.tight_layout()
for train_index,val_index in tscv.split(X_train1_raw):
    X_train1,X_val1 = prepare_data.fit_transform(X_train1_raw[train_index]),prepare_data.fit_transform(X_train1_raw[val_index])
    y_train1,y_val1 = prepare_data.fit_transform(y_train1_raw[train_index]),prepare_data.fit_transform(y_train1_raw[val_index])
    plt.subplot(510 + index)

    plt.plot(X_train1[:,1])
    plt.plot([None for i in X_train1[:,1]] + [x for x in X_val1[:,1]])

    plt.plot(X_train1[:,2])
    plt.plot([None for i in X_train1[:,2]] + [x for x in X_val1[:,2]])

    index +=1
plt.show();

这将导致

因此仅绘制了第二个变量。当我将绘图命令分配给某些轴时，将导致一个空图：

fig,7))
(...)
for train_index,prepare_data.fit_transform(y_train1_raw[val_index])
    plt.subplot(510 + index)

    ax[0].plot(X_train1[:,1])
    ax[0].plot([None for i in X_train1[:,1]])

    ax[1].plot(X_train1[:,2])
    ax[1].plot([None for i in X_train1[:,2]])

    index +=1
plt.show();

这将导致

如何调整此值以并行绘制所有变量？