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TST: Simplify test_interp_string_axis and test_qcut_binning_issues (#62470)

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Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -366,7 +366,7 @@ def test_interp_time_inplace_axis(self):`
`366`	`366`	`@pytest.mark.parametrize("axis_name, axis_number", [("index", 0), ("columns", 1)])`
`367`	`367`	`def test_interp_string_axis(self, axis_name, axis_number):`
`368`	`368`	`# https://github.com/pandas-dev/pandas/issues/25190`
`369`		`- x = np.linspace(0, 100, 1000)`
	`369`	`+ x = np.linspace(0, 100, 3)`
`370`	`370`	`y = np.sin(x)`
`371`	`371`	`df = DataFrame(`
`372`	`372`	`data=np.tile(y, (10, 1)), index=np.arange(10), columns=x`

Lines changed: 4 additions & 17 deletions

Original file line number	Diff line number	Diff line change
`@@ -101,23 +101,10 @@ def test_qcut_binning_issues(datapath):`
`101`	`101`	`arr = np.loadtxt(cut_file)`
`102`	`102`	`result = qcut(arr, 20)`
`103`	`103`
`104`		`- starts = []`
`105`		`- ends = []`
`106`		`-`
`107`		`- for lev in np.unique(result):`
`108`		`- s = lev.left`
`109`		`- e = lev.right`
`110`		`- assert s != e`
`111`		`-`
`112`		`- starts.append(float(s))`
`113`		`- ends.append(float(e))`
`114`		`-`
`115`		`- for (sp, sn), (ep, en) in zip(`
`116`		`- zip(starts[:-1], starts[1:]), zip(ends[:-1], ends[1:])`
`117`		`- ):`
`118`		`- assert sp < sn`
`119`		`- assert ep < en`
`120`		`- assert ep <= sn`
	`104`	`+ starts = result.categories.left`
	`105`	`+ ends = result.categories.right`
	`106`	`+ assert (starts < ends).all()`
	`107`	`+ assert (starts[1:] <= ends[:-1]).all()`
`121`	`108`
`122`	`109`
`123`	`110`	`def test_qcut_return_intervals():`

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