[英]How to plot multiple scatter plots with a global colourbar in python?
I have a dataset from which I've calculated a value which I've used in a colourbar for a plot. See below:我有一个数据集,我从中计算了一个值,我在 plot 的颜色栏中使用了这个值。见下文:
I'm trying to figure out how to combine it so that another parameter is plotted over it (see below:)我试图找出如何组合它以便在其上绘制另一个参数(见下文:)
I want the colours to be added to the different shapes for each of the classes.我希望将颜色添加到每个类的不同形状中。
Some of the code used is below:使用的一些代码如下:
plt.figure(figsize=[12,10])
plt.scatter(x_offset1, y_offset1, s=2, c=index, cmap='jet', marker='.')
plt.scatter(x_offset2, y_offset2, s=2, c=index, cmap='jet', marker='^')
plt.scatter(x_offset3, y_offset3, s=2, c=index, cmap='jet', marker='v')
plt.scatter(x_offset4, y_offset4, s=2, c=index, cmap='jet', marker='x')
plt.colorbar()
This gives the error:这给出了错误:
ValueError: 'c' argument has 289 elements, which is inconsistent with 'x' and 'y' with size 3.
I know that the 289 elements is the colour data for the whole dataset and the size 3 is the size of the first class of plots but I'm not sure how to plot the colour values of just the 3 points only.我知道 289 个元素是整个数据集的颜色数据,大小 3 是第一个 class 图的大小,但我不确定如何 plot 只有 3 个点的颜色值。
What you are looking for is a slice of the index
list.您正在寻找的是索引列表的index
。 Slices work like this:切片是这样工作的:
slice = pizza[:2]
And go in the format of list[start:stop:step]
.和 go 格式为list[start:stop:step]
。 So, if your colors go from the first item in the list to the third item , then you would do:所以,如果你的 colors go 从列表中的第一项到第三项,那么你会这样做:
plt.scatter(x_offset4, y_offset4, s=2, c=index[1:3], cmap='jet', marker='x')
Assuming index
contains ["a", "b", "c", "d"]
(just for the sake of an example), index[1:3]
will return ["a", "b", "c", "d"]
.假设index
包含["a", "b", "c", "d"]
(仅作为示例), index[1:3]
将返回["a", "b", "c", "d"]
。 This operation does not modify the original list, so index
will still be ["a", "b", "c", "d"]
after index[1:3]
.此操作不会修改原始列表,因此index
在index[1:3]
之后仍然是["a", "b", "c", "d"]
] 。
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