Python 类型错误：无法连接非 NDFrame 对象
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TypeError: cannot concatenate a non-NDFrame object
提问by user7379562
I have this DatetimeIndex:
我有这个日期时间索引：
dates = DatetimeIndex(['2017-06-09', '2017-06-10', '2017-06-11', '2017-06-12',
'2017-06-13', '2017-06-14'],
dtype='datetime64[ns]', freq='<DateOffset>')
I want to take dates and append them to my DataFrame df:
我想获取日期并将它们附加到我的 DataFrame 中df：
for i in xrange(0,5):
df.append(dates[i],ignore_index=True)
I get this error TypeError: cannot concatenate a non-NDFrame object.
我收到此错误TypeError: cannot concatenate a non-NDFrame object。
UPDATE:
更新：
sample data of df:
样本数据df：
Out[85]:
2017-06-05 -0.944868
2017-06-06 0.073623
2017-06-07 -0.687232
Freq: <DateOffset>, dtype: float64
采纳答案by jezrael
If length of dfis same as DatetimeIndexand need create index:
如果长度df相同DatetimeIndex并且需要创建index：
df.index = dates
If not try filter by length of indexwhat is same as length of df:
如果不尝试按与长度index相同的长度过滤df：
df.index = dates[:len(df.index)]
If need new column:
如果需要新列：
df['a'] = dates
If not:
如果不：
df['a'] = dates[:len(df.index)]
If need use only first 5 values:
如果只需要使用前 5 个值：
df['a'] = dates[:5]
EDIT:
编辑：
I think you need unionfor concatenate index to datesand then reindex:
我认为您需要union将索引连接到dates然后reindex：
df = df.reindex(df.index.union(dates), fill_value=-0.944868)
print (df)
2017-06-05 -0.944868
2017-06-06 0.073623
2017-06-07 -0.687232
2017-06-09 -0.944868
2017-06-10 -0.944868
2017-06-11 -0.944868
2017-06-12 -0.944868
2017-06-13 -0.944868
2017-06-14 -0.944868
Name: <DateOffset>, dtype: float64
