[英]Appending multi-indexed Series to an empty Series in pandas
I take a multi-indexed pandas series named 'dat' and try to append it to an empty series named 's'. 我选择了一个名为“ dat”的多索引熊猫系列,并尝试将其附加到一个名为“ s”的空系列中。 This is how 'dat' looks like:
这是“ dat”的样子:
a = [['bar', 'bar', 'foo', 'foo'],['one', 'two', 'one', 'two']]
t = list(zip(*a))
ind = pd.MultiIndex.from_tuples(t, names=['first', 'second'])
dat = pd.Series(randn(4), index=ind)
Out[1]:
first second
bar one -1.361606
two -0.108458
foo one -0.691175
two -0.830161
dtype: float64
Now, when I append it to the empty Series 's' it returns this: 现在,当我将其附加到空Series时,它将返回以下内容:
s = pd.Series()
s = s.append(dat)
Out[2]:
(bar, one) -1.361606
(bar, two) -0.108458
(foo, one) -0.691175
(foo, two) -0.830161
dtype: float64
How can I recover the original form? 如何恢复原始表格?
This was a bug fixed in 0.14.0 (coming next week), see here: http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0140-api (the set_index section). 此错误已在0.14.0(下周发布)中修复,请参见此处: http ://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0140-api(set_index部分) 。
You can get the pre-release here: https://github.com/pydata/pandas/releases 您可以在此处获取预发布版本: https : //github.com/pydata/pandas/releases
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