def test_dict_sum(self):
agg = BatchAggregate()
agg.sum_cols = ['batch']
agg_dict, col_list = agg.create_aggdict()
self.assertEqual({'batch': ['sum']}, agg_dict)
self.assertEqual(['sum_batch'], col_list)
def test_dict_max(self):
agg = BatchAggregate()
agg.max_cols = ['batch']
agg_dict, col_list = agg.create_aggdict()
self.assertEqual({'batch': ['max']}, agg_dict)
self.assertEqual(['max_batch'], col_list)
import pandas as pd
from world.flat import Earth
from BatchAggregate.batch_aggregate import BatchAggregate
if __name__ == '__main__':
earth = Earth()
print('hello ' + earth.getWord())
agg = BatchAggregate()
#print(agg.create_aggdict(['batch']))
print(agg.weight_cols)
agg.weight_cols = ['one'] # setter called
print(agg.weight_cols)
lst_wght = agg.weight_cols # getter called
print(agg.weight_cols, lst_wght)
# agg.weight_cols = [1] # setter called
print(agg.create_aggdict())
# del agg.weight_cols # deleter called
# print(agg.weight_cols, lst_wght)
df = pd.DataFrame({
'one': [1, 3, 5, 5, 3, 3, 3, 1],
'two': [1, 2, 2, 2, 3, 1, 1, 1]
})
agg.df = df
df2 = agg.weight_catcolumns('two')
print(df2.dtypes)
print(df2)
print(agg.list_subcols())