运行numpy的Meshgrid时的MemoryError [英] MemoryError when running Numpy Meshgrid

问题描述

我的 8823 数据以x点，y坐标。我试图遵循<一个答案href=\"http://stackoverflow.com/questions/2369492/generate-a-heatmap-in-matplotlib-using-a-scatter-data-set\">how得到一个分散的数据集是psented作为热图重新$ P $但是当我经过

I have 8823 data points with x,y coordinates. I'm trying to follow the answer on how to get a scatter dataset to be represented as a heatmap but when I go through the

X，Y = np.meshgrid（X，Y）

我的数据数组的指令，我得到的MemoryError 。我是新来numpy的和matplotlib和我基本上是试图通过调整例子我能找到运行​​此。

instruction with my data arrays I get MemoryError. I am new to numpy and matplotlib and am essentially trying to run this by adapting the examples I can find.

下面就是我建立了我的数组从已保存他们一个文件：

Here's how I built my arrays from a file that has them stored:

XY_File = open ('XY_Output.txt', 'r')
XY = XY_File.readlines()
XY_File.close()

Xf=[]
Yf=[]
for line in XY:
    Xf.append(float(line.split('\t')[0]))
    Yf.append(float(line.split('\t')[1]))
x=array(Xf)
y=array(Yf)

有没有我的数组的一个问题？同样的code工作投入这个例子时候，但我不太肯定。

为什么我得到这个的MemoryError，我该如何解决这个问题？

Why am I getting this MemoryError and how can I fix this?

推荐答案

您调用 meshgrid 需要大量的内存 - 它产生两个8823 * 8823的浮点阵列。他们每个人都约为0.6 GB。

Your call to meshgrid requires a lot of memory -- it produces two 8823*8823 floating point arrays. Each of them are about 0.6 GB.

但你的屏幕不能显示反正（和你的眼睛不能真正处理）这么多的信息，所以你也许应该想想办法，你做到这一步之前，您的数据平滑的东西更合理像1024 * 1024

But your screen can't show (and your eye can't really process) that much information anyway, so you should probably think of a way to smooth your data to something more reasonable like 1024*1024 before you do this step.

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