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CLN avoid some upcasting when its not the purpose of the test #50493

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Merged
merged 3 commits into from
Jan 2, 2023
Merged

CLN avoid some upcasting when its not the purpose of the test #50493

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96e4dc9
avoid some upcasting when its not the purpose of the test
Dec 29, 2022
d4ecbc8
add comments
Dec 30, 2022
37a6053
add one more explicit upcast
Dec 30, 2022
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3 changes: 2 additions & 1 deletion pandas/tests/frame/methods/test_equals.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,8 @@ def test_equals(self):
df1["start"] = date_range("2000-1-1", periods=10, freq="T")
df1["end"] = date_range("2000-1-1", periods=10, freq="D")
df1["diff"] = df1["end"] - df1["start"]
df1["bool"] = np.arange(10) % 3 == 0
# Explicitly cast to object, to avoid implicit cast when setting np.nan
df1["bool"] = (np.arange(10) % 3 == 0).astype(object)
df1.loc[::2] = np.nan
df2 = df1.copy()
assert df1["text"].equals(df2["text"])
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6 changes: 4 additions & 2 deletions pandas/tests/frame/test_query_eval.py
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Expand Up @@ -448,7 +448,8 @@ def test_date_index_query(self):
def test_date_index_query_with_NaT(self):
engine, parser = self.engine, self.parser
n = 10
df = DataFrame(np.random.randn(n, 3))
# Cast to object to avoid implicit cast when setting entry to pd.NaT below
df = DataFrame(np.random.randn(n, 3)).astype({0: object})
df["dates1"] = date_range("1/1/2012", periods=n)
df["dates3"] = date_range("1/1/2014", periods=n)
df.iloc[0, 0] = pd.NaT
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here, df[0] is first created of int dtype, and then df.iloc[0, 0] = pd.NaT upcasts it to object. Might as well create it of dtype object in the first place, as the purpose of this test comes in the lines below (df.query(...)

Expand Down Expand Up @@ -808,7 +809,8 @@ def test_date_index_query(self):
def test_date_index_query_with_NaT(self):
engine, parser = self.engine, self.parser
n = 10
df = DataFrame(np.random.randn(n, 3))
# Cast to object to avoid implicit cast when setting entry to pd.NaT below
df = DataFrame(np.random.randn(n, 3)).astype({0: object})
df["dates1"] = date_range("1/1/2012", periods=n)
df["dates3"] = date_range("1/1/2014", periods=n)
df.iloc[0, 0] = pd.NaT
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4 changes: 4 additions & 0 deletions pandas/tests/frame/test_reductions.py
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Expand Up @@ -449,10 +449,14 @@ def test_var_std(self, datetime_frame):
def test_numeric_only_flag(self, meth):
# GH 9201
df1 = DataFrame(np.random.randn(5, 3), columns=["foo", "bar", "baz"])
# Cast to object to avoid implicit cast when setting entry to "100" below
df1 = df1.astype({"foo": object})
# set one entry to a number in str format
df1.loc[0, "foo"] = "100"

df2 = DataFrame(np.random.randn(5, 3), columns=["foo", "bar", "baz"])
# Cast to object to avoid implicit cast when setting entry to "a" below
df2 = df2.astype({"foo": object})
# set one entry to a non-number str
df2.loc[0, "foo"] = "a"

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2 changes: 2 additions & 0 deletions pandas/tests/groupby/test_timegrouper.py
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Expand Up @@ -103,6 +103,8 @@ def test_groupby_with_timegrouper(self):
"20130901", "20131205", freq="5D", name="Date", inclusive="left"
),
)
# Cast to object to avoid implicit cast when setting entry to "CarlCarlCarl"
expected = expected.astype({"Buyer": object})
expected.iloc[0, 0] = "CarlCarlCarl"
expected.iloc[6, 0] = "CarlCarl"
expected.iloc[18, 0] = "Joe"
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3 changes: 2 additions & 1 deletion pandas/tests/series/methods/test_replace.py
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Expand Up @@ -16,7 +16,8 @@ def test_replace_explicit_none(self):
expected = pd.Series([0, 0, None], dtype=object)
tm.assert_series_equal(result, expected)

df = pd.DataFrame(np.zeros((3, 3)))
# Cast column 2 to object to avoid implicit cast when setting entry to ""
df = pd.DataFrame(np.zeros((3, 3))).astype({2: object})
df.iloc[2, 2] = ""
result = df.replace("", None)
expected = pd.DataFrame(
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