问题描述
我有一个函数returnValuesAtTime，该函数返回三个列表-x_vals，y_vals和swe_vals.所有三个列表的长度相同，并且swe_vals中的每个元素对应于x_vals中的x-value和y_vals中的y-value.我希望生成一个带有图例的热图，该图例使用(x,y)坐标和swe_vals作为强度.
I have a function returnValuesAtTime that returns three lists-x_vals,y_vals and swe_vals. All three lists are of the same length and each element in swe_vals corresponds to a x-value from x_vals and a y-value from y_vals. I wish to generate a heatmap with a legend that uses the (x,y) coordinates and the swe_vals as the intensity.
我编写了以下代码:
def plotValuesAtTimeMap(t):
x_vals,y_vals,swe_vals=returnValuesAtTime(t)
x_points=len(x_vals)
y_points=len(y_vals)
xx=np.linspace(x_vals[0],x_vals[-1],x_points)
yy=np.linspace(y_vals[0],y_vals[-1],y_points)
fig,ax=plt.subplots()
im=ax.pcolormesh(xx,yy,z)
fig.colorbar(im)
ax.axis('tight')
plt.show()
一旦使用returnValuesAtTime(t)获得了三个列表，我将采用x_vals和y_vals的长度.然后，我用它们生成x和y方向的间距，其极限是x_vals和y_vals的第一个和最后一个元素.然后，我尝试生成colormesh.但这给了我一个没有值的空colormesh.
Once the three lists are obtained using returnValuesAtTime(t), I take the lengths of x_vals and y_vals. I then use these to generate the spacing for x and y-directions, with the limits being the first and last elements of x_vals and y_vals. I then try to generate the colormesh. But this gives me an empty colormesh with no values.
可能出什么问题了?使用3D numpy数组而不是三个列表是否可以解决问题?
What might be going wrong? Will using a 3D numpy array instead of the three lists solve the problem?
每个列表的前10个元素是:
The first 10 elements of each of the lists are:
x_vals[0:10]
[439936.86573189893,
439936.86573189893,
439936.86573189893,
439936.86573189893,
439936.86573189893,
439936.86573189893,
439936.86573189893,
439936.86573189893,
439936.86573189893,
439936.86573189893]
y_vals[0:10]
[4514018.2797159087,
4513898.2797159087,
4513778.2797159087,
4513658.2797159087,
4513538.2797159087,
4513418.2797159087,
4513298.2797159087,
4513178.2797159087,
4513058.2797159087,
4512938.2797159087]
swe_vals[0:10]
[2.7520323,
2.7456229,
2.7456021,
2.745455,
2.7478349,
2.7445269,
2.7484877,
2.7524617,
2.75491,
2.7509627]
修改:
我添加了一个散点图，显示下面的(x，y)网格范围:
I have added a scatter plot showing the (x,y) grid range below:
x和y值在列表中，每个长度为6804.每个(x，y)点在单独的列表中都有一个对应的z值，其长度也为6804.为了阐明我希望实现的目标，我想生成一个像热图一样的热图，其z轴的大小由该图上每个网格的颜色表示.如下所示:
The x and y values are in lists, each 6804 in length. Each (x,y) point has a corresponding z-value in a separate list, which is also 6804 in length. To clarify what I hope to achieve, I want to generate a heatmap like plot with the magnitude of z-axis represented by the color of each grid on the plot. Something like what's shown below:
在示例图中，所有z值都相同.因此，整个网格空间的颜色都是相同的.
In the example plot, all z-values are the same. So the color is same across the entire grid space.
使用新的合成图进行编辑(根据朱CT成员的建议):
推荐答案
如果将x，y，z整形为方矩阵，则可以执行contourf绘图:
It looks like if reshape x, y, z to square matrix, you can do a contourf plot:
In [7]:X
Out[7]:
array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]])
In [8]:Y
Out[8]:
array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[2, 2, 2, 2, 2, 2, 2, 2, 2, 2],
[3, 3, 3, 3, 3, 3, 3, 3, 3, 3],
[4, 4, 4, 4, 4, 4, 4, 4, 4, 4],
[5, 5, 5, 5, 5, 5, 5, 5, 5, 5],
[6, 6, 6, 6, 6, 6, 6, 6, 6, 6],
[7, 7, 7, 7, 7, 7, 7, 7, 7, 7],
[8, 8, 8, 8, 8, 8, 8, 8, 8, 8],
[9, 9, 9, 9, 9, 9, 9, 9, 9, 9]])
plt.contourf(X,Y,np.random.random((10,10))) #reshape Z too!
plt.colorbar()
这篇关于使用Matplotlib中的3D数据生成热图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！