keras_lstm_multi_plot_error_avg.py

plot_cols = [col for col in df_out.columns if 'error_avg' in col]
print(plot_cols)
# plot the new data
fig, ax = plt.subplots(num=None, figsize=(14, 6), dpi=80, facecolor='w', edgecolor='k')
size = len(df_out)
for col in plot_cols:
    ax.plot(range(0,size), df_out[col], '-', linewidth=0.5)