如何使用“ matplotlib.pyplot”在不同的窗口中绘制图形？

Question

我有4个数组，p1&p2和v1&v2相似，我想在2个不同的窗口上绘制它们。我使用以下代码将它们全部绘制在一个窗口中，但如上所述，我想将它们分开：

p1 = real_stock_price_volume[:,0]
v1 = real_stock_price_volume[:,1]
p2 = predicted_stock_price_volume[:,0]
v2 = predicted_stock_price_volume[:,1]
plt.plot(p1, color = 'red', label = 'p1')
plt.plot(v1, color = 'brown', label = 'v1')
plt.plot(p2, color = 'blue', label = 'p2')
plt.plot(v2, color = 'green', label = 'v2')
plt.title('Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')
plt.legend()
plt.show()

我应该如何更改代码？

Answer 1

您可以在每次调用绘图之前致电plt.figure()来实现此目的。

p1 = real_stock_price_volume[:,0]
v1 = real_stock_price_volume[:,1]
p2 = predicted_stock_price_volume[:,0]
v2 = predicted_stock_price_volume[:,1]

plt.figure(1)
plt.plot(p1, color = 'red', label = 'p1')
plt.title('Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')

plt.figure(2)
plt.plot(v1, color = 'brown', label = 'v1')
plt.title('Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')

plt.figure(3)
plt.plot(p2, color = 'blue', label = 'p2')
plt.title('Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')

plt.figure(4)
plt.plot(v2, color = 'green', label = 'v2')
plt.title('Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')
plt.legend()

plt.show()

Answer 2

您应将代码用于plt.figure()和plt.show()之间的不同绘图，如下所示：

p1 = real_stock_price_volume[:,0]
v1 = real_stock_price_volume[:,1]
p2 = predicted_stock_price_volume[:,0]
v2 = predicted_stock_price_volume[:,1]

plt.figure()
plt.plot(p1, color = 'red', label = 'p1')
# you can add other instrunctions here, such as title, xlabel, etc
plt.show()

plt.figure()
plt.plot(v1, color = 'brown', label = 'v1')
# you can add other instrunctions here, such as title, xlabel, etc
plt.show()

plt.figure()
plt.plot(p2, color = 'blue', label = 'p2')
# you can add other instrunctions here, such as title, xlabel, etc
plt.show()

Answer 3

使用plt.subplot（）将图形分为两个窗口。尝试以下代码，即可使用

plt.subplot(121)
plt.plot(p1, color = 'red', label = 'p1')
plt.plot(v1, color = 'blue', label = 'v1')
plt.title('real Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')
plt.subplot(122)
plt.plot(p2, color = 'brown', label = 'p2')
plt.plot(v2, color = 'green', label = 'v2')
plt.title('Predicted Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')
plt.legend()
plt.show()