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Matplotlib中繪制的點之間的連接線

[英]Connecting lines between points plotted in Matplotlib

我有4個X和Y列表,分別用matplotlib.pyplot繪制,即point1 [x1,y1],point2 [x2,y2],point3 [x3,y3]和point4 [x4,y4]。 我要在圖中執行的操作是將point1連接到point2,將point2連接到point3,依此類推,直到所有4個點都連接在一起,在我的情況下這將代表一個正方形。 該數據是我正在使用的矩形泵的動態x和y排量的數據,該數據顯示了是否超過了船舶月池內部的排量限制。

這是我到目前為止的代碼,它給出了以下圖和生成的圖:

生成圖

## SSLP displacement time histories to be plotted
point1 = (3.61, 4, -3)
point2 = (3.61, -4, -3)
point3 = (-3.61, -4, -3)
point4 = (-3.61, 4, -3)
SSLPXPoint1 = SSLP.TimeHistory('X', 1, objectExtra=OrcFxAPI.oeBuoy(point1))
SSLPYPoint1 = SSLP.TimeHistory('Y', 1, objectExtra=OrcFxAPI.oeBuoy(point1))
SSLPXPoint2 = SSLP.TimeHistory('X', 1, objectExtra=OrcFxAPI.oeBuoy(point2))
SSLPYPoint2 = SSLP.TimeHistory('Y', 1, objectExtra=OrcFxAPI.oeBuoy(point2))
SSLPXPoint3 = SSLP.TimeHistory('X', 1, objectExtra=OrcFxAPI.oeBuoy(point3))
SSLPYPoint3 = SSLP.TimeHistory('Y', 1, objectExtra=OrcFxAPI.oeBuoy(point3))
SSLPXPoint4 = SSLP.TimeHistory('X', 1, objectExtra=OrcFxAPI.oeBuoy(point4))
SSLPYPoint4 = SSLP.TimeHistory('Y', 1, objectExtra=OrcFxAPI.oeBuoy(point4))

# setup plot
caseName = os.path.splitext(info.modelFileName)[0]
point1Plot = [3.61, 4]
point2Plot = [3.61, -4]
point3Plot = [-3.61, -4]
point4Plot = [-3.61, 4]
vesselPointsX = [90.89, 100.89, 100.89, 90.89, 90.89]
vesselPointsY = [5, 5, -5, -5, 5]
moonpoolCLX = [89, 103]
moonpoolCLY = [0, 0]
fig = plt.figure(figsize=(20, 15))
ax = fig.add_subplot(1, 1, 1)
plt.plot(vesselPointsX, vesselPointsY, 'r', lw=2, label='OCV Moonpool Limits')
plt.plot(moonpoolCLX, moonpoolCLY, 'k--', label='Moonpool CL')
plt.plot(SSLPXPoint1, SSLPYPoint1, 'k')
plt.plot(SSLPXPoint2, SSLPYPoint2, 'k')
plt.plot(SSLPXPoint3, SSLPYPoint3, 'k')
plt.plot(SSLPXPoint4, SSLPYPoint4, 'k')
ax.set_title("SSLP Maximum Offsets Inside Moonpool for {}".format(caseName), fontsize=20)
ax.set_xlabel('Distance Along OCV from Stern [m]', fontsize=15)
ax.set_ylabel('Distance from Moonpool Centerline, (+) Towards Portside [m]', fontsize=15)
ax.set_xlim(89, 103)
ax.set_ylim(-7, 7)
plt.gca().set_aspect('equal', adjustable='box')
plt.draw()
plt.legend()
plt.tight_layout()
plt.show()

任何幫助將不勝感激。

謝謝,

布賴恩

這應該對您有幫助。 進行更改。

from matplotlib.pyplot import plot, show
plot([SSLPXPoint1, SSLPXPoint2], [SSLPYPoint1, SSLPYPoint2])
plot([SSLPXPoint3, SSLPXPoint2], [SSLPYPoint3, SSLPYPoint2])
plot([SSLPXPoint3, SSLPXPoint4], [SSLPYPoint3, SSLPYPoint4])
show()

已進行編輯,因為上一個連接了所有點。

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