def test_scatter_plot_legacy(self):
tm._skip_if_no_scipy()
df = DataFrame(randn(100, 2))
def scat(**kwds):
return plotting.scatter_matrix(df, **kwds)
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat)
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, marker='+')
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, vmin=0)
if _ok_for_gaussian_kde('kde'):
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, diagonal='kde')
if _ok_for_gaussian_kde('density'):
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, diagonal='density')
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, diagonal='hist')
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, range_padding=.1)
def scat2(x, y, by=None, ax=None, figsize=None):
return plotting.scatter_plot(df, x, y, by, ax, figsize=None)
_check_plot_works(scat2, x=0, y=1)
grouper = Series(np.repeat([1, 2, 3, 4, 5], 20), df.index)
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat2, x=0, y=1, by=grouper)
def test_scatter_plot_legacy(self):
tm._skip_if_no_scipy()
df = DataFrame(randn(100, 2))
def scat(**kwds):
return plotting.scatter_matrix(df, **kwds)
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat)
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, marker='+')
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, vmin=0)
if _ok_for_gaussian_kde('kde'):
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, diagonal='kde')
if _ok_for_gaussian_kde('density'):
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, diagonal='density')
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, diagonal='hist')
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat, range_padding=.1)
def scat2(x, y, by=None, ax=None, figsize=None):
return plotting.scatter_plot(df, x, y, by, ax, figsize=None)
_check_plot_works(scat2, x=0, y=1)
grouper = Series(np.repeat([1, 2, 3, 4, 5], 20), df.index)
with tm.assert_produces_warning(UserWarning):
_check_plot_works(scat2, x=0, y=1, by=grouper)