Python'AttributeError:'function'对象没有属性'min'' [英] Python 'AttributeError: 'function' object has no attribute 'min''

问题描述

首先，对于这两个问题的显而易见性表示歉意；我对此非常陌生，不知道自己在做什么.

我正在尝试编写一些东西来将 Scipy 函数用于样条插值到一组值.我的代码目前看起来像这样:

将 numpy 导入为 np将 scipy 导入为 sp从 scipy.interpolate 导入 interp1dx=varx1 = ([0.1,0.3,0.4])y1 = [0.2,0.5,0.6]新长度 = 25new_x = np.linspace(x.min(), x.max(), new_length)new_y = sp.interpolate.interp1d(x, y, kind='cubic')(new_x)

但是当它到达线

new_x = np.linspace(x.min(), x.max(), new_length)

我收到以下错误:

AttributeError: 'function' 对象没有属性 'min'

到目前为止，谷歌搜索等没有发现我理解的任何内容.这是什么意思，我该如何解决?

第二个问题:如何一次输入多行代码?目前，如果我尝试复制整个内容然后将其粘贴到 PyLab 中，它只会输入我代码的第一行，因此我必须一次将整个内容粘贴到一行中.我该如何解决这个问题?

解决方案

如果这一行

new_x = np.linspace(x.min(), x.max(), new_length)

正在生成错误消息

AttributeError: 'function' 对象没有属性 'min'

then x 是一个函数，函数(一般情况下)没有 min 属性，所以不能调用 some_function.min().x 是什么?在您的代码中，您仅将其定义为

x=var

我不确定 var 是什么.var 不是 Python 中的默认内置函数，但如果它是一个函数，那么您要么出于某种原因自己定义它，要么从某个地方获取它(假设您正在使用 Sage，或者你做了一个像 from sympy import * 之类的星型导入.)

[更新:既然你说你正在使用 PyLab"，那么 var 可能是 numpy.var ，它已经在 IPython 启动时导入到作用域中.我认为你的意思是在 --pylab 模式下使用 IPython.]

你也定义了x1和y1，但是你后面的代码引用了x和y，所以感觉这段代码介于两个功能状态之间.

现在 numpy 数组 do 有一个 .min() 和 .max() 方法，所以这个:

<预><代码>>>>x = np.array([0.1, 0.3, 0.4, 0.7])>>>y = np.array([0.2, 0.5, 0.6, 0.9])>>>新长度 = 25>>>new_x = np.linspace(x.min(), x.max(), new_length)>>>new_y = sp.interpolate.interp1d(x, y, kind='cubic')(new_x)

会起作用.你的测试数据不会，因为插值至少需要 4 个点，你会得到

ValueError: x 和 y 数组必须至少有 4 个条目

Firstly, apologies for how obvious these two questions seem to be; I'm very very new to this and don't have a clue what I'm doing.

I'm trying to write something to apply the Scipy function for spline interpolation to an array of values. My code currently looks like this:

import numpy as np
import scipy as sp
from scipy.interpolate import interp1d

x=var
x1 = ([0.1,0.3,0.4])
y1 = [0.2,0.5,0.6]

new_length = 25
new_x = np.linspace(x.min(), x.max(), new_length)
new_y = sp.interpolate.interp1d(x, y, kind='cubic')(new_x)

but when it gets to the line

new_x = np.linspace(x.min(), x.max(), new_length)

I get the following error:

AttributeError: 'function' object has no attribute 'min'

and so far googling etc has turned up nothing that I understand. What does this mean and how do I fix it?

Second question: how do I input more than one line of code at once? At the moment, if I try to copy the whole thing and then paste it into PyLab, it only inputs the top line of my code, so I have to paste the whole thing in one line at a time. How do I get round this?

解决方案

If this line

new_x = np.linspace(x.min(), x.max(), new_length)

is generating the error message

AttributeError: 'function' object has no attribute 'min'

then x is a function, and functions (in general) don't have min attributes, so you can't call some_function.min(). What is x? In your code, you've only defined it as

x=var

I'm not sure what var is. var isn't a default builtin in Python, but if it's a function, then either you've defined it yourself for some reason or you've picked it up from somewhere (say you're using Sage, or you did a star import like from sympy import * or something.)

[Update: since you say you're "using PyLab", probably var is numpy.var which has been imported into scope at startup in IPython. I think you really mean "using IPython in --pylab mode.]

You also define x1 and y1, but then your later code refers to x and y, so it sort of feels like this code is halfway between two functional states.

Now numpy arrays do have a .min() and .max() method, so this:

>>> x = np.array([0.1, 0.3, 0.4, 0.7])
>>> y = np.array([0.2, 0.5, 0.6, 0.9])
>>> new_length = 25
>>> new_x = np.linspace(x.min(), x.max(), new_length)
>>> new_y = sp.interpolate.interp1d(x, y, kind='cubic')(new_x)

would work. Your test data won't because the interpolation needs at least 4 points, and you'd get

ValueError: x and y arrays must have at least 4 entries

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