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I would specifically like to create two different plots using one single loop. One plot should have four straight lines from x-y, and another plot should have four angled lines from x-y2. My code only shows everything in a single plot. I don't quite understand how plt works, how can I create two distinct plt objects?
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt2
x=[[1,2,3,4],[1,2,3,4],[1,2,3,4],[1,2,3,4]]
y=[[1,2,3,4],[2,3,4,5],[3,4,5,6],[7,8,9,10]]
y2=[[11,12,13,24],[42,33,34,65],[23,54,65,86],[77,90,39,54]]
colours=['r','g','b','k']
for i in range(len(x)):
plt.plot(x[i],y2[i],colours[i])
plt2.plot(x[i],y[i],colours[i])
plt.show()
plt2.show()
906
To draw multiple plots using the subplot() function from the pyplot module, you need to perform two steps: First, you need to call the subplot() function with three parameters: (1) the number of rows for your grid, (2) the number of columns for your grid, and (3) the location or axis for plotting.
Sometimes when designing a plot you'd like to add multiple legends to the same axes. Unfortunately, Matplotlib does not make this easy: via the standard legend interface, it is only possible to create a single legend for the entire plot. If you try to create a second legend using plt. legend() or ax.
Is that what you want to do?
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],[2,3,4,5],[3,4,5,6],[7,8,9,10]]
y2=[[11,12,13,24],[42,33,34,65],[23,54,65,86],[77,90,39,54]]
colours=['r','g','b','k']
fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()
for i in range(len(x)):
ax1.plot(x[i],y2[i],colours[i])
ax2.plot(x[i],y[i],colours[i])
fig1.show()
fig2.show()
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