def as_dataframe(groups):
group_dfs = []
groups = GroupBy.get_data_groups(groups)
for group_name in groups:
group_df = pd.concat(groups[group_name])
group_df['GROUP_NAME'] = group_name
group_dfs.append(group_df)
result = pd.concat(group_dfs)
return result
def join_as_dataframe(groups):
group_dfs = []
groups = GroupBy.get_data_groups(groups)
for group_name in groups:
group_names = group_name.split('-')
group_df = pd.concat(groups[group_name])
group_col_names = []
for name in group_names:
group_col_names.append('GROUP' +
str(group_names.index(name)))
group_df['GROUP' + str(group_names.index(name))] = name
group_dfs.append(group_df)
result = pd.concat(group_dfs, sort=False)
result.set_index(group_col_names, inplace=True, append=True)
return result
def as_dataframe(groups, group_types):
groups = GroupBy.get_data_groups(groups)
result = pd.DataFrame(groups)
result = result.transpose()
return result