TypeError: Passing a bool to header is invalid. Use header=None for no header or header=int or list-like of ints to specify the row(s) making up the column names

这个错误通常是因为在读取文件时，将布尔值传递给了 header 参数。header 参数应该是一个整数或者列表，用于指定哪些行是列名。如果不需要列名，则可以将 header 参数设置为 None。

例如，如果你使用 pandas 库读取一个 CSV 文件，可以这样写：

import pandas as pd

df = pd.read_csv('data.csv', header=None)  # 没有列名

或者如果你的 CSV 文件第一行是列名，可以这样写：

df = pd.read_csv('data.csv', header=0)  # 第一行是列名

请根据你的具体情况修改代码。

相关问题

TypeError: lstm.run(....).map is not a function

This error message is indicating that you are trying to call the `map` function on the output of the `run` method of an object called `lstm`, but `map` is not a function that can be called on the returned value.

There could be a few reasons for this error, including:

1. The `run` method of the `lstm` object may not actually return an iterable object that can be mapped over. In this case, you may need to modify your code to handle the output of `run` differently.

2. It's possible that there is a typo or mistake in your code that is causing the `map` function to be called on the wrong object or in the wrong context.

3. There may be a problem with the `lstm` object itself, such as it not being properly initialized or configured, which is causing the error to occur.

To fix this error, you may need to review your code and/or consult the documentation or source code for the `lstm` object to determine the correct way to use its `run` method and handle its output.

使用model.predict()时出现TypeError: Passing a set as an indexer is not supported. Use a list instead.

这个错误通常发生在你尝试把一个集合类型作为索引传递给 `predict()` 方法时。该方法只支持传递列表类型的索引。你可以将这个集合转换为列表，然后再传递给 `predict()` 方法。例如，如果你想把一个集合类型的索引 `index_set` 传递给 `predict()` 方法，你可以使用以下代码进行转换：

index_list = list(index_set)
model.predict(index_list)

这样你就可以成功地调用 `predict()` 方法了。