def merge(object_ids):
"""Merge a number of sorted dataframes into a single sorted dataframe."""
dfs = get_dfs(object_ids)
# In order to use our multimerge code, we have to convert the arrays from
# the Fortran format to the C format.
arrays = [np.ascontiguousarray(df.as_matrix()) for df in dfs]
for a in arrays:
assert a.dtype == np.float64
assert not np.isfortran(a)
# Filter out empty arrays.
arrays = [a for a in arrays if a.shape[0] > 0]
if len(arrays) == 0:
return None
resulting_array = multimerge.multimerge2d(*arrays)
merged_df2 = pd.DataFrame(resulting_array, columns=column_names)
return put_df(merged_df2)
def merge(object_ids):
"""Merge a number of sorted dataframes into a single sorted dataframe."""
dfs = get_dfs(object_ids)
# In order to use our multimerge code, we have to convert the arrays from
# the Fortran format to the C format.
arrays = [np.ascontiguousarray(df.as_matrix()) for df in dfs]
for a in arrays:
assert a.dtype == np.float64
assert not np.isfortran(a)
# Filter out empty arrays.
arrays = [a for a in arrays if a.shape[0] > 0]
if len(arrays) == 0:
return None
resulting_array = multimerge.multimerge2d(*arrays)
merged_df2 = pd.DataFrame(resulting_array, columns=column_names)
return put_df(merged_df2)