AttributeError: 'module' 对象在 Pandas 中没有属性 'to_numeric'
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AttributeError: 'module' object has no attribute 'to_numeric' in Pandas
提问by silent_dev
The following code is throwing AttributeError on a server where the version of Pandas is 0.16.2 whereas it runs fine on my machine where version is 0.20.
以下代码在 Pandas 版本为 0.16.2 的服务器上抛出 AttributeError 而它在版本为 0.20 的我的机器上运行良好。
df = pandas.read_csv('filename', header = None, error_bad_lines = False, warn_bad_lines =True,quoting=csv.QUOTE_NONE)
df = df.drop(df[pandas.to_numeric(df[599], errors='coerce').isnull()].index)
The error message is the following:
错误消息如下：
Traceback (most recent call last):
File "train_model.py", line 11, in <module>
df = df.drop(df[pandas.to_numeric(df[599], errors='coerce').isnull()].index)
AttributeError: 'module' object has no attribute 'to_numeric'
Is there a way to avoid this error in 0.16.2 version? The update to the server is not possible.
有没有办法在 0.16.2 版本中避免这个错误？无法更新服务器。
回答by umutto
Pandas.to_numeric is only available for version 0.17 and higher. You can use DataFrame.convert_objectswith convert_numeric=Trueargument instead, errors are automatically coerced.
Pandas.to_numeric 仅适用于 0.17 及更高版本。您可以使用带参数的DataFrame.convert_objectsconvert_numeric=True来代替，错误会被自动强制转换。
df = df.drop(df[df[599].convert_objects(convert_numeric=True).isnull()].index)
回答by crazyglasses
If you notice in the pandas documentation of what's new in version 0.17, you shall notice
如果您在 pandas 文档中注意到 0.17 版中的新功能，您会注意到
pd.to_numeric is a new function to coerce strings to numbers (possibly with coercion) (GH11133)
pd.to_numeric 是一个将字符串强制转换为数字的新函数（可能带有强制转换）（GH11133）
Hence, pandas 0.16 does not have the function pd.to_numeric. However you can use this function to achieve the same purpose.
因此，pandas 0.16 没有功能pd.to_numeric。但是，您可以使用此功能来实现相同的目的。
df = df.drop(df[df[599].astype(float).isnull()].index)
