fig,ax_ = plt.subplots(nrows=10, ncols=2, figsize=(14, 20))
ax_ = ax_.ravel()
for i in range(20):
list_ = M_feature_inverse[i][:3]
ax = ax_[i]
for l in list_:
all_df_tmp = all_df_.loc[all_df_['pk']==l, :].groupby('request_at_dt').size().reset_index(name='c')
df_display_1 = all_df_tmp = all_df_tmp.sort_values(by='request_at_dt', ascending=False)
ax.plot(list(df_display_1['request_at_dt']), list(df_display_1['c']), label=l+'_access_count')
plt.sca(ax)
plt.xticks(rotation=20)
ax.legend(loc='upper left')
plt.tight_layout( )
fig.savefig('access_count_.png'.format(target))
fig.show()