def test_coxph_plotting_normalized(self, block):
df = load_regression_dataset()
cp = CoxPHFitter()
cp.fit(df, "T", "E")
cp.plot(True)
self.plt.title("test_coxph_plotting_normalized")
self.plt.show(block=block)
def test_coxph_plotting_with_subset_of_columns(self, block):
df = load_regression_dataset()
cp = CoxPHFitter()
cp.fit(df, "T", "E")
cp.plot(columns=["var1", "var2"])
self.plt.title("test_coxph_plotting_with_subset_of_columns")
self.plt.show(block=block)
def test_coxph_plotting_normalized(self, block):
df = load_regression_dataset()
cp = CoxPHFitter()
cp.fit(df, "T", "E")
cp.plot(True)
self.plt.title('test_coxph_plotting')
self.plt.show(block=block)
def test_coxph_plotting(self, block):
df = load_regression_dataset()
cp = CoxPHFitter()
cp.fit(df, "T", "E")
cp.plot()
self.plt.title('test_coxph_plotting')
self.plt.show(block=block)
def test_coxph_plotting_with_subset_of_columns_and_standardized(
self, block):
df = load_regression_dataset()
cp = CoxPHFitter()
cp.fit(df, "T", "E")
cp.plot(True, columns=['var1', 'var2'])
self.plt.title(
'test_coxph_plotting_with_subset_of_columns_and_standardized')
self.plt.show(block=block)
