Python 数据框对象没有属性
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Data-frame Object has no Attribute
提问by Tinkinc
I am trying to call Dataframe columns for analysis using Pandas. I uploaded a CSV file, however every time It gives me this error AttributeError: 'DataFrame' object has no attribute 'X'
How can I make every column available for analysis and why does this always happen.
我正在尝试使用 Pandas 调用 Dataframe 列进行分析。我上传了一个 CSV 文件，但是每次它都会给我这个错误AttributeError: 'DataFrame' object has no attribute 'X'
如何使每一列都可用于分析以及为什么总是发生这种情况。
proportion_women_survived = float(sum(women.survived))/len(women)This is one example. I read_CSV('Train.csv)into Python editor and the columns are shown when I data.head()however not one column unless I do this:
proportion_women_survived = float(sum(women.survived))/len(women)这是一个例子。我read_CSV('Train.csv)进入 Python 编辑器，但当我data.head()不显示一列时会显示列，除非我这样做：
[{newCols = data.columns.values
newCols[-1] = 'PassengerId'
data.columns = newCols}]
回答by EdChum
You get the error because your column names are case-sensitive, typically you can check what your columns really are by using df.columns.tolist()as you're concerned about this you can lower case the columns after loading by using:
您收到错误是因为您的列名区分大小写，通常您可以通过使用来检查您的列到底是什么，df.columns.tolist()因为您担心这一点，您可以使用以下方法在加载后小写列：
df.columns = df.columns.str.lower()
Example:
例子：
In [203]:
df = pd.DataFrame(columns=list('aBCd'))
df
Out[203]:
Empty DataFrame
Columns: [a, B, C, d]
Index: []
In [204]:
df.columns.str.lower()
Out[204]:
Index(['a', 'b', 'c', 'd'], dtype='object')
