REF: method-specific file for to_timestamp

pandas/tests/frame/methods/test_to_timestamp.py

@@ -0,0 +1,103 @@
+from datetime import timedelta
+
+import numpy as np
+import pytest
+
+from pandas import (
+    DataFrame,
+    DatetimeIndex,
+    Timedelta,
+    date_range,
+    period_range,
+    to_datetime,
+)
+import pandas._testing as tm
+
+
+class TestToTimestamp:
+    def test_frame_to_time_stamp(self):
+        K = 5
+        index = period_range(freq="A", start="1/1/2001", end="12/1/2009")
+        df = DataFrame(np.random.randn(len(index), K), index=index)
+        df["mix"] = "a"
+
+        exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC")
+        exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns")
+        result = df.to_timestamp("D", "end")
+        tm.assert_index_equal(result.index, exp_index)
+        tm.assert_numpy_array_equal(result.values, df.values)
+
+        exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN")
+        result = df.to_timestamp("D", "start")
+        tm.assert_index_equal(result.index, exp_index)
+
+        def _get_with_delta(delta, freq="A-DEC"):
+            return date_range(
+                to_datetime("1/1/2001") + delta,
+                to_datetime("12/31/2009") + delta,
+                freq=freq,
+            )
+
+        delta = timedelta(hours=23)
+        result = df.to_timestamp("H", "end")
+        exp_index = _get_with_delta(delta)
+        exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns")
+        tm.assert_index_equal(result.index, exp_index)
+
+        delta = timedelta(hours=23, minutes=59)
+        result = df.to_timestamp("T", "end")
+        exp_index = _get_with_delta(delta)
+        exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns")
+        tm.assert_index_equal(result.index, exp_index)
+
+        result = df.to_timestamp("S", "end")
+        delta = timedelta(hours=23, minutes=59, seconds=59)
+        exp_index = _get_with_delta(delta)
+        exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns")
+        tm.assert_index_equal(result.index, exp_index)
+
+        # columns
+        df = df.T
+
+        exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC")
+        exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns")
+        result = df.to_timestamp("D", "end", axis=1)
+        tm.assert_index_equal(result.columns, exp_index)
+        tm.assert_numpy_array_equal(result.values, df.values)
+
+        exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN")
+        result = df.to_timestamp("D", "start", axis=1)
+        tm.assert_index_equal(result.columns, exp_index)
+
+        delta = timedelta(hours=23)
+        result = df.to_timestamp("H", "end", axis=1)
+        exp_index = _get_with_delta(delta)
+        exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns")
+        tm.assert_index_equal(result.columns, exp_index)
+
+        delta = timedelta(hours=23, minutes=59)
+        result = df.to_timestamp("T", "end", axis=1)
+        exp_index = _get_with_delta(delta)
+        exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns")
+        tm.assert_index_equal(result.columns, exp_index)
+
+        result = df.to_timestamp("S", "end", axis=1)
+        delta = timedelta(hours=23, minutes=59, seconds=59)
+        exp_index = _get_with_delta(delta)
+        exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns")
+        tm.assert_index_equal(result.columns, exp_index)
+
+        # invalid axis
+        with pytest.raises(ValueError, match="axis"):
+            df.to_timestamp(axis=2)
+
+        result1 = df.to_timestamp("5t", axis=1)
+        result2 = df.to_timestamp("t", axis=1)
+        expected = date_range("2001-01-01", "2009-01-01", freq="AS")
+        assert isinstance(result1.columns, DatetimeIndex)
+        assert isinstance(result2.columns, DatetimeIndex)
+        tm.assert_numpy_array_equal(result1.columns.asi8, expected.asi8)
+        tm.assert_numpy_array_equal(result2.columns.asi8, expected.asi8)
+        # PeriodIndex.to_timestamp always use 'infer'
+        assert result1.columns.freqstr == "AS-JAN"
+        assert result2.columns.freqstr == "AS-JAN"

pandas/tests/frame/test_period.py

@@ -1,19 +1,6 @@
-from datetime import timedelta
-
 import numpy as np
-import pytest
-
-import pandas as pd
-from pandas import (
-    DataFrame,
-    DatetimeIndex,
-    Index,
-    PeriodIndex,
-    Timedelta,
-    date_range,
-    period_range,
-    to_datetime,
-)
+
+from pandas import DataFrame, Index, PeriodIndex, period_range
 import pandas._testing as tm
 
 
@@ -49,93 +36,6 @@ def test_frame_setitem(self):
         assert isinstance(rs.index, PeriodIndex)
         tm.assert_index_equal(rs.index, rng)
 
-    def test_frame_to_time_stamp(self):
-        K = 5
-        index = period_range(freq="A", start="1/1/2001", end="12/1/2009")
-        df = DataFrame(np.random.randn(len(index), K), index=index)
-        df["mix"] = "a"
-
-        exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC")
-        exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns")
-        result = df.to_timestamp("D", "end")
-        tm.assert_index_equal(result.index, exp_index)
-        tm.assert_numpy_array_equal(result.values, df.values)
-
-        exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN")
-        result = df.to_timestamp("D", "start")
-        tm.assert_index_equal(result.index, exp_index)
-
-        def _get_with_delta(delta, freq="A-DEC"):
-            return date_range(
-                to_datetime("1/1/2001") + delta,
-                to_datetime("12/31/2009") + delta,
-                freq=freq,
-            )
-
-        delta = timedelta(hours=23)
-        result = df.to_timestamp("H", "end")
-        exp_index = _get_with_delta(delta)
-        exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns")
-        tm.assert_index_equal(result.index, exp_index)
-
-        delta = timedelta(hours=23, minutes=59)
-        result = df.to_timestamp("T", "end")
-        exp_index = _get_with_delta(delta)
-        exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns")
-        tm.assert_index_equal(result.index, exp_index)
-
-        result = df.to_timestamp("S", "end")
-        delta = timedelta(hours=23, minutes=59, seconds=59)
-        exp_index = _get_with_delta(delta)
-        exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns")
-        tm.assert_index_equal(result.index, exp_index)
-
-        # columns
-        df = df.T
-
-        exp_index = date_range("1/1/2001", end="12/31/2009", freq="A-DEC")
-        exp_index = exp_index + Timedelta(1, "D") - Timedelta(1, "ns")
-        result = df.to_timestamp("D", "end", axis=1)
-        tm.assert_index_equal(result.columns, exp_index)
-        tm.assert_numpy_array_equal(result.values, df.values)
-
-        exp_index = date_range("1/1/2001", end="1/1/2009", freq="AS-JAN")
-        result = df.to_timestamp("D", "start", axis=1)
-        tm.assert_index_equal(result.columns, exp_index)
-
-        delta = timedelta(hours=23)
-        result = df.to_timestamp("H", "end", axis=1)
-        exp_index = _get_with_delta(delta)
-        exp_index = exp_index + Timedelta(1, "h") - Timedelta(1, "ns")
-        tm.assert_index_equal(result.columns, exp_index)
-
-        delta = timedelta(hours=23, minutes=59)
-        result = df.to_timestamp("T", "end", axis=1)
-        exp_index = _get_with_delta(delta)
-        exp_index = exp_index + Timedelta(1, "m") - Timedelta(1, "ns")
-        tm.assert_index_equal(result.columns, exp_index)
-
-        result = df.to_timestamp("S", "end", axis=1)
-        delta = timedelta(hours=23, minutes=59, seconds=59)
-        exp_index = _get_with_delta(delta)
-        exp_index = exp_index + Timedelta(1, "s") - Timedelta(1, "ns")
-        tm.assert_index_equal(result.columns, exp_index)
-
-        # invalid axis
-        with pytest.raises(ValueError, match="axis"):
-            df.to_timestamp(axis=2)
-
-        result1 = df.to_timestamp("5t", axis=1)
-        result2 = df.to_timestamp("t", axis=1)
-        expected = pd.date_range("2001-01-01", "2009-01-01", freq="AS")
-        assert isinstance(result1.columns, DatetimeIndex)
-        assert isinstance(result2.columns, DatetimeIndex)
-        tm.assert_numpy_array_equal(result1.columns.asi8, expected.asi8)
-        tm.assert_numpy_array_equal(result2.columns.asi8, expected.asi8)
-        # PeriodIndex.to_timestamp always use 'infer'
-        assert result1.columns.freqstr == "AS-JAN"
-        assert result2.columns.freqstr == "AS-JAN"
-
     def test_frame_index_to_string(self):
         index = PeriodIndex(["2011-1", "2011-2", "2011-3"], freq="M")
         frame = DataFrame(np.random.randn(3, 4), index=index)