From 7e7e004951e07fc41015346cfa43d9ad9ab5c9f7 Mon Sep 17 00:00:00 2001 From: Vandana Iyer Date: Tue, 28 Jan 2020 17:23:26 -0800 Subject: [PATCH] CLN: Replace '.format' with f-strings in some test files #29547 For more details on the issue, refer: https://github.com/pandas-dev/pandas/issues/29547 --- pandas/tests/reshape/test_reshape.py | 7 ++----- pandas/tests/scalar/period/test_period.py | 8 ++++---- 2 files changed, 6 insertions(+), 9 deletions(-) diff --git a/pandas/tests/reshape/test_reshape.py b/pandas/tests/reshape/test_reshape.py index f25291f4aef12..6113cfec48df9 100644 --- a/pandas/tests/reshape/test_reshape.py +++ b/pandas/tests/reshape/test_reshape.py @@ -86,9 +86,7 @@ def test_basic_types(self, sparse, dtype): result = get_dummies(s_df, columns=s_df.columns, sparse=sparse, dtype=dtype) if sparse: - dtype_name = "Sparse[{}, {}]".format( - self.effective_dtype(dtype).name, fill_value - ) + dtype_name = f"Sparse[{self.effective_dtype(dtype).name}, {fill_value}]" else: dtype_name = self.effective_dtype(dtype).name @@ -163,8 +161,7 @@ def test_unicode(self, sparse): s = [e, eacute, eacute] res = get_dummies(s, prefix="letter", sparse=sparse) exp = DataFrame( - {"letter_e": [1, 0, 0], "letter_{eacute}".format(eacute=eacute): [0, 1, 1]}, - dtype=np.uint8, + {"letter_e": [1, 0, 0], f"letter_{eacute}": [0, 1, 1]}, dtype=np.uint8, ) if sparse: exp = exp.apply(SparseArray, fill_value=0) diff --git a/pandas/tests/scalar/period/test_period.py b/pandas/tests/scalar/period/test_period.py index 6af9c9884589c..bbc81e0dbb6e6 100644 --- a/pandas/tests/scalar/period/test_period.py +++ b/pandas/tests/scalar/period/test_period.py @@ -308,7 +308,7 @@ def test_multiples(self): @pytest.mark.parametrize("month", MONTHS) def test_period_cons_quarterly(self, month): # bugs in scikits.timeseries - freq = "Q-{month}".format(month=month) + freq = f"Q-{month}" exp = Period("1989Q3", freq=freq) assert "1989Q3" in str(exp) stamp = exp.to_timestamp("D", how="end") @@ -322,7 +322,7 @@ def test_period_cons_quarterly(self, month): @pytest.mark.parametrize("month", MONTHS) def test_period_cons_annual(self, month): # bugs in scikits.timeseries - freq = "A-{month}".format(month=month) + freq = f"A-{month}" exp = Period("1989", freq=freq) stamp = exp.to_timestamp("D", how="end") + timedelta(days=30) p = Period(stamp, freq=freq) @@ -333,8 +333,8 @@ def test_period_cons_annual(self, month): @pytest.mark.parametrize("day", DAYS) @pytest.mark.parametrize("num", range(10, 17)) def test_period_cons_weekly(self, num, day): - daystr = "2011-02-{num}".format(num=num) - freq = "W-{day}".format(day=day) + daystr = f"2011-02-{num}" + freq = f"W-{day}" result = Period(daystr, freq=freq) expected = Period(daystr, freq="D").asfreq(freq)