将 Pandas 数据帧中的列从 float 转换为 int
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Convert a column from pandas dataframe from float to int
提问by niukasu
When I want to do the following command(learned from the other question), there is a warning. How to avoid this warning?
当我想执行以下命令(从另一个问题中了解到)时,会出现警告。如何避免这个警告?
df['Class'] = df['Class'].astype(int)
/home/ubuntu/src/anaconda3/lib/python3.5/site-packages/ipykernel/main.py:2: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead
/home/ubuntu/src/anaconda3/lib/python3.5/site-packages/ipykernel/ main.py:2: SettingWithCopyWarning: 试图在 DataFrame 切片的副本上设置一个值。尝试使用 .loc[row_indexer,col_indexer] = value 代替
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copyfrom ipykernel import kernelapp as app
请参阅文档中的警告:http: //pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy from ipykernel import kernelapp as app
采纳答案by sudonym
You need to disable chained assignments.
您需要禁用链式分配。
# Disable chained assignments
pd.options.mode.chained_assignment = None
Will make it work.
会让它工作。