I come across the answer from this forum and have a question. How to show separate plot in one plot. Try to use plt.subplots(1, 4) but not work. Here is the sample codes:
import matplotlib.pyplot as plt
x=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
y=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
for i in range(len(x)):
plt.figure()
plt.plot(x[i],y[i])
#plt.show()
You can use plt.subplot() as following:
import matplotlib.pyplot as plt
x=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
y=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
plt.figure(figsize=[10,10])
for i in range(len(x)):
plt.subplot(1,len(x)+1,i+1)
plt.plot(x[i],y[i])
plt.title('Plot: '+str(i+1))
plt.show()
Here is output figure:
The following may do it.
It is looping through the lists (x and y have 4 nested lists) and subplots (in this example 2 by 2) using zip.
x=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
y=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
fig = plt.figure(figsize=(10, 6))
for i,j in zip(list(range(0,4)), list(range(1,5)) ):
ax = fig.add_subplot(2,2,j)
ax.plot(x[i], y[i])
