[英]how to get last column of pandas series
I am trying to count frequencies of an array. 我正在尝试计算数组的频率。 I've read this post , I am using DataFrame and get a series. 我已经阅读了这篇文章 ,我正在使用DataFrame并获得一系列内容。
>>> a = np.array([1, 1, 5, 0, 1, 2, 2, 0, 1, 4])
>>> df = pd.DataFrame(a, columns=['a'])
>>> b = df.groupby('a').size()
>>> b
a
0 2
1 4
2 2
4 1
5 1
dtype: int64
>>> b.iloc[:,-1]
when i try to get the last column, i got this error. 当我尝试获取最后一列时,出现此错误。
Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/pan/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 1472, in __getitem__
return self._getitem_tuple(key) File "/Users/pan/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 2013, in _getitem_tuple
self._has_valid_tuple(tup) File "/Users/pan/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 220, in _has_valid_tuple
raise IndexingError('Too many indexers') pandas.core.indexing.IndexingError: Too many indexers
how to get the last column of b
? 如何获得b
的最后一列?
Since pandas.Series
is a 由于pandas.Series
是一个
One-dimensional ndarray with axis labels 带轴标签的一维ndarray
If you want to get just the frequencies column, ie the values of your series, use: 如果只想获取频率列,即系列的值,请使用:
b.tolist()
or, alternatively: 或者,或者:
b.to_dict()
to keep both labels and frequencies. 保持标签和频率。
PS: PS:
For your specific task consider also collections
package: 对于您的特定任务,请同时考虑collections
包:
>>> from collections import Counter
>>> a = [1, 1, 5, 0, 1, 2, 2, 0, 1, 4]
>>> c = Counter(a)
>>> list(c.values())
[2, 4, 2, 1, 1]
Problem is output of GroupBy.size
is Series
, and Series
have no columns, so is possible get last value only: 问题是GroupBy.size
输出是Series
,而Series
没有列,因此可能仅获得最后一个值:
b.iloc[-1]
If use: 如果使用:
b.iloc[:,-1]
it return last column in Dataframe
. 它返回Dataframe
最后一列。
Here :
means all rows and -1
in second position last column. 此处:
表示所有行,最后一列第二个位置为-1
。
So if create DataFrame
from Series
: 因此,如果从Series
创建DataFrame
:
b1 = df.groupby('a').size().reset_index(name='count')
it working like expected. 它工作正常。
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