scipy.spatial ValueError:“x 必须由长度为 %d 但形状为 %s 的向量组成" [英] scipy.spatial ValueError: "x must consist of vectors of length %d but has shape %s"

问题描述

Scipy 拥有出色的 空间分析 包，其中包括一棵 K 维树.我正在尝试使用查询功能，它返回此错误:

Scipy has an excelent spatial analysis pack which includes a K-dimensional tree. I am attempting to use the query function and it is returning this error:

ValueError: x 必须由长度为 6 的向量组成，但具有形状 (2,)

ValueError: x must consist of vectors of length 6 but has shape (2,)

有人知道这个错误指的是什么吗?

Does anyone know what this error is referring to?

从一些谷歌搜索我发现它有这种通用格式:

From some google searching I have discovered it has this general format:

raise ValueError("x must consist of vectors of length %d but has shape %s" % (self.m, np.shape(x)))

我相信这个是源代码.

推荐答案

想通了:

这个特定的值错误引用了用于构建 KD 树的数组的长度.

This particular value error is referencing the length of the array used to build the KD Tree.

%d 值表示用于构建 KD 树的数组的长度，%s 值表示您正在使用的类似数组的对象的长度查询.

The %d value represents the length of the array used to build the KD tree, and the %s value represents the length of the array like object you are using to query.

在我的示例中，%d 值为 6，因为我构建了一个 6 维数组.%s 的值是 2，因为我只给它提供了两个坐标:(X,Y) 来查询.

In my example the %d value was 6 because I had built a 6 dimensional array. The %s value was 2 because I had only fed it two coordinates: (X,Y) to query.

我的错误是我在构建 KD 树时不小心包含了 4 个额外的字段.现在两个值都是 2，一切都按预期工作.

My error was that I had accidentally included 4 extra fields when building the KD tree. Now that both values are 2, all works as expected.

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