【发布时间】:2017-05-27 04:50:54
【问题描述】:
我正在尝试将多个 csv 文件合并到一个文件夹中。
它们看起来像这样(实际上有两个以上的 df):
df1
LCC acres
2 10
3 20
4 40
5 5
df2
LCC acres_2
2 4
3 2
4 40
5 6
6 7
我想将所有数据框放入一个列表中,然后将它们与 reduce 合并。为此,它们需要具有相同的索引。
我正在尝试这段代码:
combined = []
reindex = [2,3,4,5,6]
folder = r'C:\path_to_files'
for f in os.listdir(folder):
#read each file
df = pd.read_csv(os.path.join(folder,f))
#check for duplicates - returns empty lists
print df[df.index.duplicated()]
#reindex
df.set_index([df.columns[0]], inplace=True)
df=df.reindex(reindex, fill_value=0)
#append
combined.append(df)
#merge on 'LCC' column
final = reduce(lambda left, right: pd.merge(left, right, on=['LCC'], how='outer'), combined)
但这仍然返回:
Traceback (most recent call last):
File "<ipython-input-31-45f925f6d48d>", line 9, in <module>
df=df.reindex(reindex, fill_value=0)
File "C:\Users\spotter\AppData\Local\Continuum\Anaconda2_2\lib\site-packages\pandas\core\frame.py", line 2741, in reindex
**kwargs)
File "C:\Users\spotter\AppData\Local\Continuum\Anaconda2_2\lib\site-packages\pandas\core\generic.py", line 2229, in reindex
fill_value, copy).__finalize__(self)
File "C:\Users\spotter\AppData\Local\Continuum\Anaconda2_2\lib\site-packages\pandas\core\frame.py", line 2687, in _reindex_axes
fill_value, limit, tolerance)
File "C:\Users\spotter\AppData\Local\Continuum\Anaconda2_2\lib\site-packages\pandas\core\frame.py", line 2698, in _reindex_index
allow_dups=False)
File "C:\Users\spotter\AppData\Local\Continuum\Anaconda2_2\lib\site-packages\pandas\core\generic.py", line 2341, in _reindex_with_indexers
copy=copy)
File "C:\Users\spotter\AppData\Local\Continuum\Anaconda2_2\lib\site-packages\pandas\core\internals.py", line 3586, in reindex_indexer
self.axes[axis]._can_reindex(indexer)
File "C:\Users\spotter\AppData\Local\Continuum\Anaconda2_2\lib\site-packages\pandas\indexes\base.py", line 2293, in _can_reindex
raise ValueError("cannot reindex from a duplicate axis")
ValueError: cannot reindex from a duplicate axis
【问题讨论】:
标签: python-2.7 pandas