# Merge all the coin frames into one, we populate the list first with Namecoin as it is the largest, by doing this
# all sequencial merges will be of smaller size ie we don't loose any data

data2['merged'] = data2['Namecoin']

for coin in coins:
    data2['merged'] = pd.merge(left=data2['merged'],right=data2[coin], left_on='timestamp', right_on='timestamp', how='left')

MemoryError                               Traceback (most recent call last)
<ipython-input-16-a3fff37d9a9c> in <module>()
      5
      6 for coin in coins:
----> 7     data2['merged'] = pd.merge(left=data2['merged'],right=data2[coin], left_on='timestamp', right_on='timestamp', how='left')

C:\Python27\lib\site-packages\pandas\tools\merge.pyc in merge(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator)
     33                          right_index=right_index, sort=sort, suffixes=suffixes,
     34                          copy=copy, indicator=indicator)
---> 35     return op.get_result()
     36 if __debug__:
     37     merge.__doc__ = _merge_doc % '\nleft : DataFrame'

C:\Python27\lib\site-packages\pandas\tools\merge.pyc in get_result(self)
    208             [(ldata, lindexers), (rdata, rindexers)],
    209             axes=[llabels.append(rlabels), join_index],
--> 210             concat_axis=0, copy=self.copy)
    211
    212         typ = self.left._constructor

C:\Python27\lib\site-packages\pandas\core\internals.pyc in concatenate_block_managers(mgrs_indexers, axes, concat_axis, copy)
   4454                                                 copy=copy),
   4455                          placement=placement)
-> 4456               for placement, join_units in concat_plan]
   4457
   4458     return BlockManager(blocks, axes)

C:\Python27\lib\site-packages\pandas\core\internals.pyc in concatenate_join_units(join_units, concat_axis, copy)
   4551     to_concat = [ju.get_reindexed_values(empty_dtype=empty_dtype,
   4552                                          upcasted_na=upcasted_na)
-> 4553                  for ju in join_units]
   4554
   4555     if len(to_concat) == 1:

C:\Python27\lib\site-packages\pandas\core\internals.pyc in get_reindexed_values(self, empty_dtype, upcasted_na)
   4836             for ax, indexer in self.indexers.items():
   4837                 values = com.take_nd(values, indexer, axis=ax,
-> 4838                                      fill_value=fill_value)
   4839
   4840         return values

C:\Python27\lib\site-packages\pandas\core\common.pyc in take_nd(arr, indexer, axis, out, fill_value, mask_info, allow_fill)
    785             out = np.empty(out_shape, dtype=dtype, order='F')
    786         else:
--> 787             out = np.empty(out_shape, dtype=dtype)
    788
    789     func = _get_take_nd_function(arr.ndim, arr.dtype, out.dtype,

MemoryError: