2025-03-06 plt legend 画在一起

# -*- coding: utf-8 -*-
"""
Created on Sun Mar  6 14:41:05 2022

@author: cyb20176
"""

#%%
import numpy as np 
import matplotlib.pyplot as plt 

# create fake data
a=b= np.arange(0,3,.02)
c=np.exp(a)
#%%
d= c[::-1]
fig,ax=plt.subplots()
ax.plot(a,c, k-- ,label=  Ground Truth )
ax.plot(a,d, k: ,label= Recoverd decay )
ax.plot(a,c+d, k ,label= Noise decay )

# legend=ax.legend(loc= upper center ,shadow=True,fontsize= x-large )
legend=ax.legend(loc= best )
legend.get_frame().set_facecolor( green )

My project

# -*- coding: utf-8 -*-
"""
Created on Fri Mar  4 10:58:47 2022

@author: cyb20176
"""

#%%
import scipy.io as scio
import matplotlib.pyplot as plt

datapath_GT= r ground_truth_decay.mat 
data_GT= scio.loadmat(datapath_GT)

datapath_Recover= r recoverd_decay.mat 
data_Recover= scio.loadmat(datapath_Recover)

datapath_noise= r noise_decay.mat 
data_noise= scio.loadmat(datapath_noise)

# # print(data)
indata_GT = data_GT[ yt ]
# indata = indata.astype( float )
indata_Recover= data_Recover[ y_auto_bi_sigma0 ]
indata_noise= data_noise[ y ]

# #%%
# plt.plot(indata_GT[2000,:],color= r ,linewidth=2,linestyle= -- )
# # plt.legend( GT )

# plt.legend(labels=[ Ground Truth ],loc= best )

# plt.plot(indata_Recover[2000,:],color= b ,linewidth=2,linestyle= solid )
# # plt.legend( GT )

# plt.legend(labels=[ Recoverd decay ],loc= best )
#%%

fig,ax=plt.subplots()
ax.plot(indata_GT[2000,:], k-- ,linewidth=2,label=  Ground Truth )
ax.plot(indata_Recover[2000,:], r ,linewidth=2,label= Recoverd decay )
ax.plot(indata_noise[2000,:], k ,linewidth=2,label= Noise decay )

# legend=ax.legend(loc= upper center ,shadow=True,fontsize= x-large )
legend=ax.legend(loc= best )
legend.get_frame().set_facecolor( green )
ax.set_xlabel( Time bin )
ax.set_ylabel( Normlized intensity (a.u.) )