Python 从熊猫输出中删除名称、数据类型
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时间：2020-08-19 04:49:46 来源:igfitidea点击:
remove name, dtype from pandas output
提问by pam
I have output file like this from a pandas function.
我有一个来自熊猫函数的输出文件。
Series([], name: column, dtype: object)
311 race
317 gender
Name: column, dtype: object
I'm trying to get an output with just the second column, i.e.,
我试图获得仅包含第二列的输出，即
race
gender
by deleting top and bottom rows, first column. How do I do that?
通过删除顶行和底行，第一列。我怎么做？
采纳答案by EdChum
You want just the .valuesattribute:
你只想要.values属性：
In [159]:
s = pd.Series(['race','gender'],index=[311,317])
s
Out[159]:
311 race
317 gender
dtype: object
In [162]:
s.values
Out[162]:
array(['race', 'gender'], dtype=object)
You can convert to a list or access each value:
您可以转换为列表或访问每个值：
In [163]:
list(s)
Out[163]:
['race', 'gender']
In [164]:
for val in s:
print(val)
race
gender
回答by ALollz
DataFrame/Series.to_string
DataFrame/Series.to_string
s = pd.Series(['race', 'gender'], index=[311, 317])
print(s.to_string(index=False))
# race
# gender
If the Index is important:
如果索引很重要：
print(s.to_string())
#311 race
#317 gender
