AttributeError: module 'pymc' has no attribute 'rbernoulli'. Did you mean: 'Bernoulli'?

AttributeError: module 'pymc' has no attribute 'rbernoulli'. 这个错误是因为在pymc模块中没有名为'rbernoulli'的属性。可能是你输入的属性名有误。

你是否想使用'Bernoulli'属性？它是pymc模块中的一个可能的替代选项。'Bernoulli'是一个概率分布类，用于建模二项分布。

相关问题

python出现AttributeError: module pkgutil has no attribute ImpImporter . Did you mean: zipimporter

这个错误是因为在导入模块时，Python 解释器找不到名为 ImpImporter 的属性。这个错误通常是由于模块依赖的环境或者模块本身的问题所导致的。根据您提供的信息，建议您检查一下以下几点：

1. 检查您使用的 Python 版本是否正确。如果使用了不同版本的 Python，可能会导致模块无法正常加载。

2. 检查您导入的模块是否存在。如果模块不存在，那么就会出现类似的错误。

3. 检查您安装的包是否与您使用的 Python 版本兼容。如果包不兼容，也会导致类似的错误。

如果上述方法都无法解决您的问题，可以尝试卸载并重新安装 pkgutil 模块。

AttributeError: DataFrame object has no attribute append . Did you mean: _append ?

This error occurs when you try to call the `append` method on a Pandas DataFrame object, but the object does not have an `append` attribute.

One possible reason for this error is that you are trying to append a DataFrame to another DataFrame using the `append` method, but you are not using it correctly. In Pandas, the `append` method does not modify the original DataFrame, but instead it returns a new DataFrame that contains the rows from both DataFrames. Therefore, you need to assign the result of the `append` method to a new variable or to the original DataFrame, like this:

df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})
df3 = df1.append(df2)

In this example, `df3` will contain the rows from both `df1` and `df2`.

If you are still getting the AttributeError, it's possible that the DataFrame object you are trying to append to does not have an `append` attribute. In this case, you can try using the `_append` attribute instead, which is a private method that is used internally by Pandas. However, be aware that using private methods may not be supported in future versions of Pandas and may cause unexpected behavior.

df1._append(df2)