滑块不起作用并更新图表中的值
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【中文标题】滑块不起作用并更新图表中的值【英文标题】：Slider not working and updating values in graph 【发布时间】：2020-06-19 10:49:23 【问题描述】：当我更改滑块时，以下代码不会更新图表。滑块由我想要更改的两个变量 Ao 和 Au 组成。最初，Ao 设置为 600，Au 设置为 800。随着滑块的移动，我预计图表会发生变化，而这不起作用。我在做什么错？如果可能的话，请告诉我制作四个滑块的方法，当我改变它们时，它们是 Ao、Au、Bo 和 Bu。
import numpy as np
from matplotlib.widgets import Slider, Button, RadioButtons
import numpy as np
import matplotlib.pyplot as plt
Jo=6.5
Ju=6.5
I=2.5
deltaJ=Jo-Ju
Ao=600
Bo=0
Au=800
Bu=0
v5=1400e6
deltaJ=Jo-Ju
inten=[]
wave=[]
rrrinten=[]
Fomax=np.int64(Jo+I)
Fomin=np.int64(Jo-I)
Fumax=np.int64(Ju+I)
Fumin=np.int64(Ju-I)
if deltaJ == 0:
for i in range(Fomin,Fomax+1):
Fo=i
for k in range(Fumin,Fumax+1):
Fu=k
if np.absolute(Fo-Fu)<2:
# print(Fo, Fu)
deltaF=Fo- Fu
if deltaF ==0:
a=I
b=Fo
c=Jo
s=a+b+c
X=(a*(a+1))-(b*(b+1))-(c*(c+1))
p=4*(X*X)/(2*b)*(2*b+1)*(2*b+2)*(2*c)*(2*c+1)*(2*c+2)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==1:
a=I
b=Fo
c=Jo
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==-1:
a=I
b=Fo
c=Jo
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
else:
print("Invalid delta F value")
print("value of delta J=",deltaJ)
elif deltaJ == 1:
for i in range(Fomin,Fomax+1):
Fo=i
for k in range(Fumin,Fumax+1):
Fu=k
if np.absolute(Fo-Fu)<2:
# print(Fo, Fu)
deltaF=Fo- Fu
if deltaF ==0:
a=I
b=Fo
c=Jo
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
vc=0
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==1:
c=Jo
b=Fo
a=I
s=a+b+c
p=s*(s+1)*(s-2*a-1)*(s-2*a)/(2*b-1)*(2*b)*(2*b+1)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==-1:
c=Jo
b=Fo
a=I
s=a+b+c
p=(s-2*b)*(s-2*b-1)*(s-2*c+1)*(s-2*c+2)/(2*b+1)*(2*b+2)*(2*b+3)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
vc=0
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
else:
print("Invalid delta F value")
print("value of delta J=",deltaJ)
elif deltaJ == -1:
for i in range(Fomin,Fomax+1):
Fo=i
for k in range(Fumin,Fumax+1):
Fu=k
if np.absolute(Fo-Fu)<2:
# print(Fo, Fu)
deltaF=Fo- Fu
if deltaF ==0:
a=I
b=Fo
c=Jo+1
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=((2*Fo+1)*(2*Fu+1))/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==1:
c=Jo+1
b=Fo-1
a=I
s=a+b+c
p=(s-2*b)*(s-2*b-1)*(s-2*c+1)*(s-2*c+2)/(2*b+1)*(2*b+2)*(2*b+3)*(2*c-1)*(2*c)*(2*c+1)
t=((2*Fo+1)*(2*Fu+1))/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==-1:
c=Jo+1
b=Fo+1
a=I
s=a+b+c
p=s*(s+1)*(s-2*a-1)*(s-2*a)/(2*b-1)*(2*b)*(2*b+1)*(2*c-1)*(2*c)*(2*c+1)
t=((2*Fo+1)*(2*Fu+1))/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
else:
print("Invalid delta F value")
print("value of delta J=",deltaJ)
else:
print("Invalid delta J value")
s1=np.size(wave)
print("no of waves=",s1)
if s1==15:
for i in range(0,15):
maxinten=max(inten)
rrrinten.append(100*inten[i]/maxinten)
elif s1==16:
for i in range(0,16):
maxinten=max(inten)
rrrinten.append(100*inten[i]/maxinten)
else:
print("Invalid Value")
# v5 = 1400e6 #Doppler width MHz
wave1=np.array(wave)
rrrinten1=np.array(rrrinten)
xvalues = np.arange(wave1.min()-100,wave1.max()+100)
z = np.exp(((-3e12)*np.log(2)*((xvalues-wave1.reshape((-1,1)))/(v5))**2))*((5*np.log(2)/(np.pi))**0.5)
s = z*rrrinten1.reshape((-1,1))
# plt.plot(xrange,s.sum(axis=0),'--r')
ax = plt.subplot(111)
plt.subplots_adjust(bottom=0.25)
axcolor = 'lightgoldenrodyellow'
#plt.figure()
plt.stem(wave,rrrinten)
plt.plot(xvalues,s.sum(axis=0),'--r')
axcolor = 'lightgoldenrodyellow'
axfreq = plt.axes([0.2, 0.1, 0.65, 0.03], facecolor=axcolor)
axamp = plt.axes([0.2, 0.15, 0.65, 0.03], facecolor=axcolor)
sfreq = Slider(axfreq, 'Au',0,1000,valinit=Ao)
samp = Slider(axamp, 'Ao' ,0,1000,valinit=Au)
sfreq.on_changed(Ao)
samp.on_changed(Au)
#plt.draw()
plt.show()
【问题讨论】：
【参考方案1】：首先一般建议：这段代码真的很难阅读。想想把它分成小块，也许你可以重复使用一些部分。
所以对于您的问题：slider.on_change(fun) 需要一个函数，当滑块的值发生变化时应该调用该函数。现在你只是在传递一个 int/float。
为了执行此更新，您需要一个函数，该函数为您提供(Ao, Au, Bo, Bu) 的给定组合要绘制的值。为了快速解决问题，我只是将所有内容放在一个函数 fun 中，但您应该考虑以更有意义的方式来构建它：
def fun(Ao, Au, Bo, Bu):
inten=[]
wave=[]
rrrinten=[]
if deltaJ == 0:
...
elif deltaJ == 1:
...
elif deltaJ == -1:
...
else:
...
s1 = np.size(wave)
print("no of waves=", s1)
...
s = z*rrrinten1.reshape((-1, 1))
s = s.sum(axis=0)
return (wave, rrrinten), (xvalues, s)
使用这个函数我们可以先初始化绘图：
Ao_init = 600
Bo_init = 0
Au_init = 800
Bu_init = 0
(x1, y1), (x2, y2) = fun(Ao=Ao_init, Au=Au_init, Bo=Bo_init, Bu=Bu_init)
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.30)
h_stem = plt.stem(x1, y1, use_line_collection=True)
h_plot = plt.plot(x2, y2, '--r')[0]
和滑块比写更新函数：
axcolor = 'lightgoldenrodyellow'
ax_bu = plt.axes([0.2, 0.25, 0.65, 0.03], facecolor=axcolor)
ax_bo = plt.axes([0.2, 0.2, 0.65, 0.03], facecolor=axcolor)
ax_ao = plt.axes([0.2, 0.15, 0.65, 0.03], facecolor=axcolor)
ax_au = plt.axes([0.2, 0.1, 0.65, 0.03], facecolor=axcolor)
s_bu = Slider(ax_bu, 'Bu', -100, 100, valinit=Bo_init, valstep=1, valfmt='%i')
s_bo = Slider(ax_bo, 'Bo', -100, 100, valinit=Bu_init, valstep=1, valfmt='%i')
s_ao = Slider(ax_ao, 'Ao', 0, 1000, valinit=Au_init, valstep=1, valfmt='%i')
s_au = Slider(ax_au, 'Au', 0, 1000, valinit=Ao_init, valstep=1, valfmt='%i')
def on_changed(event):
# Get new values
(x1, y1), (x2, y2) = fun(Ao=s_au.val, Au=s_ao.val, Bo=s_bo.val, Bu=s_bu.val)
ax.set_xlim((min(min(x1), min(x2)),
max(max(x1), max(x2))))
# update plot
h_plot.set_ydata(y2)
h_plot.set_xdata(x2)
# update stem
h_stem[0].set_ydata(y1)
h_stem[0].set_xdata(x1)
h_stem[1].set_paths([np.array([[x, 0], [x, y]]) for (x, y) in zip(x1, y1)])
h_stem[2].set_xdata([np.min(x1), np.max(x1)])
fig.canvas.draw_idle()
s_au.on_changed(on_changed)
s_ao.on_changed(on_changed)
s_bo.on_changed(on_changed)
s_bu.on_changed(on_changed)
这里有完整的代码供参考：
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
Jo = 6.5
Ju = 6.5
I = 2.5
deltaJ = Jo-Ju
v5 =1400e6
Fomax = np.int64(Jo+I)
Fomin = np.int64(Jo-I)
Fumax = np.int64(Ju+I)
Fumin = np.int64(Ju-I)
def fun(Ao, Au, Bo, Bu):
inten=[]
wave=[]
rrrinten=[]
if deltaJ == 0:
for i in range(Fomin, Fomax+1):
Fo = i
for k in range(Fumin,Fumax+1):
Fu = k
if np.absolute(Fo-Fu)<2:
# print(Fo, Fu)
deltaF=Fo- Fu
if deltaF ==0:
a=I
b=Fo
c=Jo
s=a+b+c
X=(a*(a+1))-(b*(b+1))-(c*(c+1))
p=4*(X*X)/(2*b)*(2*b+1)*(2*b+2)*(2*c)*(2*c+1)*(2*c+2)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==1:
a=I
b=Fo
c=Jo
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==-1:
a=I
b=Fo
c=Jo
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
else:
print("Invalid delta F value")
print("value of delta J=", deltaJ)
elif deltaJ == 1:
for i in range(Fomin,Fomax+1):
Fo=i
for k in range(Fumin,Fumax+1):
Fu=k
if np.absolute(Fo-Fu)<2:
# print(Fo, Fu)
deltaF=Fo- Fu
if deltaF ==0:
a=I
b=Fo
c=Jo
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
vc=0
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==1:
c=Jo
b=Fo
a=I
s=a+b+c
p=s*(s+1)*(s-2*a-1)*(s-2*a)/(2*b-1)*(2*b)*(2*b+1)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==-1:
c=Jo
b=Fo
a=I
s=a+b+c
p=(s-2*b)*(s-2*b-1)*(s-2*c+1)*(s-2*c+2)/(2*b+1)*(2*b+2)*(2*b+3)*(2*c-1)*(2*c)*(2*c+1)
t=(2*Fo+1)*(2*Fu+1)/(2*I+1)
inten.append(p*t)
vc=0
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
else:
print("Invalid delta F value")
print("value of delta J=",deltaJ)
elif deltaJ == -1:
for i in range(Fomin,Fomax+1):
Fo=i
for k in range(Fumin,Fumax+1):
Fu=k
if np.absolute(Fo-Fu)<2:
# print(Fo, Fu)
deltaF=Fo- Fu
if deltaF ==0:
a=I
b=Fo
c=Jo+1
s=a+b+c
p=2*(s+1)*(s-2*a)*(s-2*b)*(s-2*c+1)/(2*b)*(2*b+1)*(2*b+2)*(2*c-1)*(2*c)*(2*c+1)
t=((2*Fo+1)*(2*Fu+1))/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==1:
c=Jo+1
b=Fo-1
a=I
s=a+b+c
p=(s-2*b)*(s-2*b-1)*(s-2*c+1)*(s-2*c+2)/(2*b+1)*(2*b+2)*(2*b+3)*(2*c-1)*(2*c)*(2*c+1)
t=((2*Fo+1)*(2*Fu+1))/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
elif deltaF ==-1:
c=Jo+1
b=Fo+1
a=I
s=a+b+c
p=s*(s+1)*(s-2*a-1)*(s-2*a)/(2*b-1)*(2*b)*(2*b+1)*(2*c-1)*(2*c)*(2*c+1)
t=((2*Fo+1)*(2*Fu+1))/(2*I+1)
inten.append(p*t)
Co=(Fo*(Fo+1)-I*(I+1)-Jo*(Jo+1))
alphao=Co/2
betao=(0.75)*Co*(Co+1)-I*(I+1)*Jo*(Jo+1)/(2*I*Jo)*(2*I-1)*(2*Jo-1)
Cu=(Fu*(Fu+1)-I*(I+1)-Ju*(Ju+1))
alphau=Cu/2
vc=0
betau=(0.75)*Cu*(Cu+1)-I*(I+1)*Ju*(Ju+1)/(2*I*Ju)*(2*I-1)*(2*Ju-1)
v=vc+alphao*Ao+betao*Bo-alphau*Au+betau*Bu
wave.append(v)
# print(Fo,Fu,inten)
else:
print("Invalid delta F value")
print("value of delta J=",deltaJ)
else:
print("Invalid delta J value")
s1 = np.size(wave)
print("no of waves=", s1)
if s1 == 15:
for i in range(0,15):
maxinten = max(inten)
rrrinten.append(100*inten[i]/maxinten)
elif s1 == 16:
for i in range(0, 16):
maxinten = max(inten)
rrrinten.append(100*inten[i]/maxinten)
else:
print("Invalid Value")
wave1 = np.array(wave)
rrrinten1 = np.array(rrrinten)
xvalues = np.arange(wave1.min() - 100, wave1.max() +100)
z = np.exp(((-3e12)*np.log(2)*((xvalues-wave1.reshape((-1,1)))/(v5))**2))*((5*np.log(2)/(np.pi))**0.5)
s = z*rrrinten1.reshape((-1, 1))
s = s.sum(axis=0)
return (wave, rrrinten), (xvalues, s)
Ao_init = 600
Bo_init = 0
Au_init = 800
Bu_init = 0
(x1, y1), (x2, y2) = fun(Ao=Ao_init, Au=Au_init, Bo=Bo_init, Bu=Bu_init)
fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.30)
h_stem = plt.stem(x1, y1, use_line_collection=True)
h_plot = plt.plot(x2, y2, '--r')[0]
axcolor = 'lightgoldenrodyellow'
ax_bu = plt.axes([0.2, 0.25, 0.65, 0.03], facecolor=axcolor)
ax_bo = plt.axes([0.2, 0.2, 0.65, 0.03], facecolor=axcolor)
ax_ao = plt.axes([0.2, 0.15, 0.65, 0.03], facecolor=axcolor)
ax_au = plt.axes([0.2, 0.1, 0.65, 0.03], facecolor=axcolor)
s_bu = Slider(ax_bu, 'Bu', -100, 100, valinit=Bo_init, valstep=1, valfmt='%i')
s_bo = Slider(ax_bo, 'Bo', -100, 100, valinit=Bu_init, valstep=1, valfmt='%i')
s_ao = Slider(ax_ao, 'Ao', 0, 1000, valinit=Au_init, valstep=1, valfmt='%i')
s_au = Slider(ax_au, 'Au', 0, 1000, valinit=Ao_init, valstep=1, valfmt='%i')
def on_changed(event):
# Get new values
(x1, y1), (x2, y2) = fun(Ao=s_au.val, Au=s_ao.val, Bo=s_bo.val, Bu=s_bu.val)
ax.set_xlim((min(min(x1), min(x2)),
max(max(x1), max(x2))))
# update plot
h_plot.set_ydata(y2)
h_plot.set_xdata(x2)
# update stem
h_stem[0].set_ydata(y1)
h_stem[0].set_xdata(x1)
h_stem[1].set_paths([np.array([[x, 0], [x, y]]) for (x, y) in zip(x1, y1)])
h_stem[2].set_xdata([np.min(x1), np.max(x1)])
fig.canvas.draw_idle()
s_au.on_changed(on_changed)
s_ao.on_changed(on_changed)
s_bo.on_changed(on_changed)
s_bu.on_changed(on_changed)
plt.show()
有关stem plot 的更新，另请参阅this answer。
【讨论】：
它的工作。但图表仍然没有更新。 :( 是的，我已经使用 %matplotlib qt5 激活了交互式绘图 Traceback（最近一次调用最后）：文件“C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\cbook_init_.py”，第 216 行，在处理 func(*args, **kwargs) 文件“C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\widgets.py”，第 442 行，_update self.set_val(val) 文件“C:\ProgramData\ Anaconda3\lib\site-packages\matplotlib\widgets.py”，第 467 行，在 set_val func(val) 文件中“C:/Users/MUHAMMAD ALI QURESHI/Desktop/hyper gui.py”，第 295 行，在 on_changed 图中。 canvas.draw_idle()() NameError: name 'fig' is not defined 嗨，我正在尝试理解这段代码，但我收到错误“文件”以上是关于滑块不起作用并更新图表中的值的主要内容，如果未能解决你的问题，请参考以下文章