np . where

np.where可以使用多个条件来筛选数据，可以通过逻辑运算符（&、|、~）将多个条件组合起来，例如：

np.where((data > ) & (data < 10), 1, )

这个语句的意思是，如果data数组中的元素大于且小于10，则返回1，否则返回。其中&表示逻辑与，|表示逻辑或，~表示逻辑非。可以根据实际需要组合不同的条件来筛选数据。

相关问题

np.where(Self_Time < Hour[np.min(np.where(Hour == Country_Time[i])) + 1]), np.inf, np.nan)

As an AI language model, I cannot provide a definitive answer without additional context and information about the variables and the code block. However, I can provide some general information about the np.where() function and the code snippet you provided.

The np.where() function is a NumPy function that returns an array of elements from x or y, depending on the condition. The syntax of np.where() is as follows:

np.where(condition, x, y)

- condition: A boolean array or a condition that evaluates to a boolean array.
- x: An array-like object that has the same shape as the condition. It is used to select elements where the condition is True.
- y: An array-like object that has the same shape as the condition. It is used to select elements where the condition is False.

In the code snippet you provided, the np.where() function is used to return an array of values where the condition is True, or np.inf (positive infinity) where the condition is False. The condition is:

Self_Time < Hour[np.min(np.where(Hour == Country_Time[i])) + 1]

This condition compares the values in the Self_Time array with the value in the Hour array at the index returned by np.min(np.where(Hour == Country_Time[i])) + 1. The np.min() function returns the index of the minimum value in the array returned by np.where(). The +1 is added to the index to get the next value in the Hour array.

Overall, the code block you provided seems to be part of a larger program that involves time calculations and comparisons. Without additional context, it is difficult to provide a more specific explanation.

np.where

`np.where()` 是 NumPy 库中的一个函数，用于根据给定的条件从数组中选择元素。它的语法如下：

np.where(condition[, x, y])

其中，`condition` 是一个布尔型数组，表示需要进行选择的元素的条件；`x` 和 `y` 是可选参数，表示在满足条件和不满足条件时的选择。如果只给出 `condition` 参数，则返回满足条件的元素的索引；如果同时给出 `x` 和 `y` 参数，则返回一个数组，其中满足条件的元素用 `x` 参数对应的值替换，不满足条件的元素用 `y` 参数对应的值替换。