具有数组的函数的PyCharm getitem警告 [英] PyCharm getitem warning for functions with arrays

问题描述

我从PyCharm收到代码检查警告。我理解逻辑，但我不清楚修复它的适当方法。假设我有以下示例函数：

I'm getting code inspection warnings from PyCharm. I understand the logic, but I'm not clear on the appropriate way to fix it. Say I have the following example function:

def get_ydata(xdata):
    ydata = xdata ** 2
    for i in range(len(ydata)):
        print ydata[i]
return ydata

我收到2条警告：

>> Expected type 'Sized', got 'int' instead (at line 3)
>> Class 'int' does not define '__getitem__', so the '[]' operator cannot be used on its instances (at line 4)

该函数的目的当然是解析一个numpy数组的xdata。但PyCharm不知道，所以没有任何进一步的指示假设xdata（因此也是ydata）是一个整数。

The purpose of the function is of course to parse a numpy array of xdata. But PyCharm doesn't know that, so without any further indication assumes that xdata (and therefore also ydata) is an integer.

解决此警告的适当方法是什么？我应该注意，添加类型检查行将修复警告。这是最佳解决方案吗？例如：

What is the appropriate way to address this warning? I should note that adding a type checking line will fix the warning. Is that the optimal solution? For example:

if not type(ydata) is np.ndarray:
    ydata = np.array(ydata)

最后，添加Sphinx文档字符串信息似乎对警告没有任何影响。 （当xdata指定为str时，警告仍会看到'int'）。同样迭代y直接导致以下错误：

Lastly, adding Sphinx docstring information does not seem to have any effect on the warnings. (warning still sees 'int' when xdata is specified as str). Also iterating over y directly results in the following error:

for y in ydata:
...
>> Expected 'collections.Iterable', got 'int' instead

推荐答案

Pycharm的类型提示功能可能是使用。

Pycharm has type hinting features that may be of use.

例如，在这种情况下，以下代码会使错误消失：

For example in this case, the following code makes the errors go away:

import numpy as np

def get_ydata(xdata):
    ydata = xdata ** 2  # type: np.ndarray
    for i in range(len(ydata)):
        print(ydata[i])
    return ydata

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