使用 Python，我正在努力将 208 个 CSV 文件合并到一个数据帧中。 (我的文件名为 Customer_1.csv、Customer_2.csv、、和 Customer_208.csv)
以下是我的代码，
%matplotlib inline
import pandas as pd
df_merged = pd.concat([pd.read_csv('data_TVV1/Customer_{0}.csv'.format(i), names = ['Time', 'Energy_{0}'.format(i)], parse_dates=['Time'], index_col=['Time'], skiprows=1) for i in range(1, 209)], axis=1)
我收到一条错误消息，
InvalidIndexError Traceback (most recent call last)
<ipython-input-4-a4d19b3c2a3e> in <module>()
----> 1 df_merged = pd.concat([pd.read_csv('data_TVV1/Customer_{0}.csv'.format(i), names = ['Time', 'Energy_{0}'.format(i)], parse_dates=['Time'], index_col=['Time'], skiprows=1) for i in range(1, 209)], axis=1)
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/tools/merge.pyc in concat(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, copy)
752 keys=keys, levels=levels, names=names,
753 verify_integrity=verify_integrity,
--> 754 copy=copy)
755 return op.get_result()
756
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/tools/merge.pyc in __init__(self, objs, axis, join, join_axes, keys, levels, names, ignore_index, verify_integrity, copy)
884 self.copy = copy
885
--> 886 self.new_axes = self._get_new_axes()
887
888 def get_result(self):
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/tools/merge.pyc in _get_new_axes(self)
944 if i == self.axis:
945 continue
--> 946 new_axes[i] = self._get_comb_axis(i)
947 else:
948 if len(self.join_axes) != ndim - 1:
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/tools/merge.pyc in _get_comb_axis(self, i)
970 raise TypeError("Cannot concatenate list of %s" % types)
971
--> 972 return _get_combined_index(all_indexes, intersect=self.intersect)
973
974 def _get_concat_axis(self):
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/core/index.pyc in _get_combined_index(indexes, intersect)
5730 index = index.intersection(other)
5731 return index
-> 5732 union = _union_indexes(indexes)
5733 return _ensure_index(union)
5734
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/core/index.pyc in _union_indexes(indexes)
5759
5760 if hasattr(result, 'union_many'):
-> 5761 return result.union_many(indexes[1:])
5762 else:
5763 for other in indexes[1:]:
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/tseries/index.pyc in union_many(self, others)
847 else:
848 tz = this.tz
--> 849 this = Index.union(this, other)
850 if isinstance(this, DatetimeIndex):
851 this.tz = tz
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/core/index.pyc in union(self, other)
1400 result.extend([x for x in other.values if x not in value_set])
1401 else:
-> 1402 indexer = self.get_indexer(other)
1403 indexer, = (indexer == -1).nonzero()
1404
/Users/Suzuki/Envs/DataVizProj/lib/python2.7/site-packages/pandas/core/index.pyc in get_indexer(self, target, method, limit)
1685
1686 if not self.is_unique:
-> 1687 raise InvalidIndexError('Reindexing only valid with uniquely'
1688 ' valued Index objects')
1689
InvalidIndexError: Reindexing only valid with uniquely valued Index objects
你有什么办法解决这个问题吗？？？..
最佳答案
您的代码适用于我用于测试的五个文件的小样本(每个文件包含两列和三行)。仅用于调试，请尝试将其写入 for 循环中。首先，在循环之前，将所有文件读入列表中。然后再次循环并使用 try/except block 附加每个错误来捕获错误。最后，打印问题文件并进行调查。
# First, read all the files into a list.
files_in = [pd.read_csv('data_TVV1/Customer_{0}.csv'.format(i),
names = ['Time', 'Energy_{0}'.format(i)],
parse_dates=['Time'],
index_col=['Time'],
skiprows=1)
for i in range(1, 209)]
df = pd.DataFrame()
errors = []
# Try to append each file to the dataframe.
for i i range(1, 209):
try:
df = pd.concat([df, files_in[i - 1]], axis=1)
except:
errors.append(i)
# Print files containing errors.
for error in errors:
print(files_in[error])
关于python - 无效索引错误: Reindexing only valid with uniquely valued Index objects，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/32577149/