Shorten a couple of names

- rename "total_orders" columns into "n_orders"
- rename `.make_*_time_series()` methods into `.make_*_ts()`

tests/forecasts/timify/test_aggregate_orders.py

@@ -91,9 +91,9 @@ class TestAggregateOrders:
 
         # The resulting `DataFrame` has 12 rows holding `1`s.
         assert len(result) == 12
-        assert result['total_orders'].min() == 1
-        assert result['total_orders'].max() == 1
-        assert result['total_orders'].sum() == 12
+        assert result['n_orders'].min() == 1
+        assert result['n_orders'].max() == 1
+        assert result['n_orders'].sum() == 12
 
     def test_evenly_distributed_ad_hoc_orders_with_no_demand_late(  # noqa:WPS218
         self, db_session, one_pixel_grid, restaurant, make_order,
@@ -123,10 +123,10 @@ class TestAggregateOrders:
         # Even though there are only 10 orders, there are 12 rows in the `DataFrame`.
         # That is so as `0`s are filled in for hours without any demand at the end.
         assert len(result) == 12
-        assert result['total_orders'].min() == 0
-        assert result['total_orders'].max() == 1
-        assert result.iloc[:10]['total_orders'].sum() == 10
-        assert result.iloc[10:]['total_orders'].sum() == 0
+        assert result['n_orders'].min() == 0
+        assert result['n_orders'].max() == 1
+        assert result.iloc[:10]['n_orders'].sum() == 10
+        assert result.iloc[10:]['n_orders'].sum() == 0
 
     def test_one_ad_hoc_order_every_other_hour(
         self, db_session, one_pixel_grid, restaurant, make_order,
@@ -155,9 +155,9 @@ class TestAggregateOrders:
 
         # The resulting `DataFrame` has 12 rows, 6 holding `0`s, and 6 holding `1`s.
         assert len(result) == 12
-        assert result['total_orders'].min() == 0
-        assert result['total_orders'].max() == 1
-        assert result['total_orders'].sum() == 6
+        assert result['n_orders'].min() == 0
+        assert result['n_orders'].max() == 1
+        assert result['n_orders'].sum() == 6
 
     def test_one_ad_hoc_and_one_pre_order(
         self, db_session, one_pixel_grid, restaurant, make_order,
@@ -199,9 +199,9 @@ class TestAggregateOrders:
 
         # The resulting `DataFrame` has 12 rows, 11 holding `0`s, and one holding a `1`.
         assert len(result) == 12
-        assert result['total_orders'].min() == 0
-        assert result['total_orders'].max() == 1
-        assert result['total_orders'].sum() == 1
+        assert result['n_orders'].min() == 0
+        assert result['n_orders'].max() == 1
+        assert result['n_orders'].sum() == 1
 
     def test_evenly_distributed_ad_hoc_orders_with_half_hour_time_steps(  # noqa:WPS218
         self, db_session, one_pixel_grid, restaurant, make_order,
@@ -234,10 +234,10 @@ class TestAggregateOrders:
         # The resulting `DataFrame` has 24 rows for the 24 30-minute time steps.
         # The rows' values are `0` and `1` alternating.
         assert len(result) == 24
-        assert result['total_orders'].min() == 0
-        assert result['total_orders'].max() == 1
-        assert result.iloc[::2]['total_orders'].sum() == 12
-        assert result.iloc[1::2]['total_orders'].sum() == 0
+        assert result['n_orders'].min() == 0
+        assert result['n_orders'].max() == 1
+        assert result.iloc[::2]['n_orders'].sum() == 12
+        assert result.iloc[1::2]['n_orders'].sum() == 0
 
     def test_ad_hoc_orders_over_two_days(
         self, db_session, one_pixel_grid, restaurant, make_order,
@@ -285,9 +285,9 @@ class TestAggregateOrders:
 
         # The resulting `DataFrame` has 24 rows, 12 for each day.
         assert len(result) == 24
-        assert result['total_orders'].min() == 0
-        assert result['total_orders'].max() == 1
-        assert result['total_orders'].sum() == 18
+        assert result['n_orders'].min() == 0
+        assert result['n_orders'].max() == 1
+        assert result['n_orders'].sum() == 18
 
     @pytest.fixture
     def two_pixel_grid(  # noqa:WPS211
@@ -381,6 +381,6 @@ class TestAggregateOrders:
 
         # The resulting `DataFrame` has 24 rows, 12 for each pixel.
         assert len(result) == 24
-        assert result['total_orders'].min() == 0
-        assert result['total_orders'].max() == 2
-        assert result['total_orders'].sum() == 30
+        assert result['n_orders'].min() == 0
+        assert result['n_orders'].max() == 2
+        assert result['n_orders'].sum() == 30