[英]matplotlib.pyplot.plot just gives two nodes without giving the line, why is that?
I'm trying to draw a line between 2 nodes (x1=130, y1=130) and (x2=202, y2=202)我试图在 2 个节点 (x1=130, y1=130) 和 (x2=202, y2=202) 之间画一条线
this code works well此代码运行良好
coor = np.array([[130,202],[130,202]])
_ = plt.plot(coor[0],coor[1])
and I got我得到了
However, the following code coming from the matplotlib doc , does not work as stated there但是,来自matplotlib 文档的以下代码无法按此处所述工作
plt.plot(130, 130,'g^', 202, 202, 'r^')
which just gives two nodes without giving the line, why is that?它只给出了两个节点而没有给出线,这是为什么呢?
This is because in the matplotlib docs, in plot(x1, y1, 'g^', x2, y2, 'g-')
, x1
, y1
, x2
and y2
are assumed to be different data sets , ie arrays consisting of multiple points.这是因为在 matplotlib 文档中,在plot(x1, y1, 'g^', x2, y2, 'g-')
, x1
, y1
, x2
和y2
被假定为不同的数据集,即 arrays点。
In this case, you'd get a plot of x1
vs y1
with green triangles and a green line connecting the points of x2
vs y2
.在这种情况下,您会得到x1
与y1
的 plot 与绿色三角形和连接x2
与y2
点的绿线。
But you won't have a line connecting x1:y1
to x2:y2
.但是您不会有一条线将x1:y1
连接到x2:y2
。
Also you probably meant to write plt.plot(130, 130,'g^', 202, 202, 'r-')
(note the minus instead of the ^
).另外,您可能打算写plt.plot(130, 130,'g^', 202, 202, 'r-')
(注意减号而不是^
)。
So eg this will work:所以例如这将起作用:
plt.plot([1, 2], [3, 4],'g^', [5, 6], [7, 8], '^-')
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