I am trying to concat the following dataframes:
df1
price side timestamptimestamp 2016-01-04 00:01:15.631331072 0.7286 2 14518656756313312016-01-04 00:01:15.631399936 0.7286 2 14518656756314002016-01-04 00:01:15.631860992 0.7286 2 14518656756318612016-01-04 00:01:15.631866112 0.7286 2 1451865675631866and:
df2
bid bid_size offer offer_sizetimestamp 2016-01-04 00:00:31.331441920 0.7284 4000000 0.7285 10000002016-01-04 00:00:53.631324928 0.7284 4000000 0.7290 40000002016-01-04 00:01:03.131234048 0.7284 5000000 0.7286 40000002016-01-04 00:01:12.131444992 0.7285 1000000 0.7286 40000002016-01-04 00:01:15.631364096 0.7285 4000000 0.7290 4000000With
data = pd.concat([df1,df2], axis=1) But I get the follwing output:
InvalidIndexError Traceback (most recent call last)<ipython-input-38-2e88458f01d7> in <module>()----> 1 data = pd.concat([df1,df2], axis=1) 2 data = data.fillna(method='pad') 3 data = data.fillna(method='bfill') 4 data['timestamp'] = data.index.values#converting to datetime 5 data['timestamp'] = pd.to_datetime(data['timestamp'])#converting to datetime/usr/local/lib/python2.7/site-packages/pandas/tools/merge.pyc in concat(objs, axis, join, join_axes, ignore_index, keys, levels, names, verify_integrity, copy) 810 keys=keys, levels=levels, names=names, 811 verify_integrity=verify_integrity,--> 812 copy=copy) 813 return op.get_result() 814 /usr/local/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) 947 self.copy = copy 948 --> 949 self.new_axes = self._get_new_axes() 950 951 def get_result(self):/usr/local/lib/python2.7/site-packages/pandas/tools/merge.pyc in _get_new_axes(self) 1013 if i == self.axis: 1014 continue-> 1015 new_axes[i] = self._get_comb_axis(i) 1016 else: 1017 if len(self.join_axes) != ndim - 1:/usr/local/lib/python2.7/site-packages/pandas/tools/merge.pyc in _get_comb_axis(self, i) 1039 raise TypeError("Cannot concatenate list of %s" % types) 1040 -> 1041 return _get_combined_index(all_indexes, intersect=self.intersect) 1042 1043 def _get_concat_axis(self):/usr/local/lib/python2.7/site-packages/pandas/core/index.pyc in _get_combined_index(indexes, intersect) 6120 index = index.intersection(other) 6121 return index-> 6122 union = _union_indexes(indexes) 6123 return _ensure_index(union) 6124 /usr/local/lib/python2.7/site-packages/pandas/core/index.pyc in _union_indexes(indexes) 6149 6150 if hasattr(result, 'union_many'):-> 6151 return result.union_many(indexes[1:]) 6152 else: 6153 for other in indexes[1:]:/usr/local/lib/python2.7/site-packages/pandas/tseries/index.pyc in union_many(self, others) 959 else: 960 tz = this.tz--> 961 this = Index.union(this, other) 962 if isinstance(this, DatetimeIndex): 963 this.tz = tz/usr/local/lib/python2.7/site-packages/pandas/core/index.pyc in union(self, other) 1553 result.extend([x for x in other._values if x not in value_set]) 1554 else:-> 1555 indexer = self.get_indexer(other) 1556 indexer, = (indexer == -1).nonzero() 1557 /usr/local/lib/python2.7/site-packages/pandas/core/index.pyc in get_indexer(self, target, method, limit, tolerance) 1890 1891 if not self.is_unique:-> 1892 raise InvalidIndexError('Reindexing only valid with uniquely' 1893 ' valued Index objects') 1894 InvalidIndexError: Reindexing only valid with uniquely valued Index objects I have removed additional columns and removed duplicates and NA where there could be a conflict - but I simply do not know what's wrong.
