def setup_method(self, method): import matplotlib as mpl from pandas.plotting._matplotlib import compat mpl.rcdefaults() self.mpl_ge_2_2_3 = compat._mpl_ge_2_2_3() self.mpl_ge_3_0_0 = compat._mpl_ge_3_0_0() self.mpl_ge_3_1_0 = compat._mpl_ge_3_1_0() self.bp_n_objects = 7 self.polycollection_factor = 2 self.default_figsize = (6.4, 4.8) self.default_tick_position = 'left' n = 100 with tm.RNGContext(42): gender = np.random.choice(['Male', 'Female'], size=n) classroom = np.random.choice(['A', 'B', 'C'], size=n) self.hist_df = DataFrame({'gender': gender, 'classroom': classroom, 'height': random.normal(66, 4, size=n), 'weight': random.normal(161, 32, size=n), 'category': random.randint(4, size=n)}) self.tdf = tm.makeTimeDataFrame() self.hexbin_df = DataFrame({"A": np.random.uniform(size=20), "B": np.random.uniform(size=20), "C": np.arange(20) + np.random.uniform( size=20)})
def setup_method(self, method): import matplotlib as mpl from pandas.plotting._matplotlib import compat mpl.rcdefaults() self.mpl_ge_2_2_3 = compat._mpl_ge_2_2_3() self.mpl_ge_3_0_0 = compat._mpl_ge_3_0_0() self.mpl_ge_3_1_0 = compat._mpl_ge_3_1_0() self.mpl_ge_3_2_0 = compat._mpl_ge_3_2_0() self.bp_n_objects = 7 self.polycollection_factor = 2 self.default_figsize = (6.4, 4.8) self.default_tick_position = "left" n = 100 with tm.RNGContext(42): gender = np.random.choice(["Male", "Female"], size=n) classroom = np.random.choice(["A", "B", "C"], size=n) self.hist_df = DataFrame( { "gender": gender, "classroom": classroom, "height": random.normal(66, 4, size=n), "weight": random.normal(161, 32, size=n), "category": random.randint(4, size=n), } ) self.tdf = tm.makeTimeDataFrame() self.hexbin_df = DataFrame( { "A": np.random.uniform(size=20), "B": np.random.uniform(size=20), "C": np.arange(20) + np.random.uniform(size=20), } )
def setup_method(self, method): import matplotlib as mpl from pandas.plotting._matplotlib import compat mpl.rcdefaults() self.mpl_ge_2_2_3 = compat._mpl_ge_2_2_3() self.mpl_ge_3_0_0 = compat._mpl_ge_3_0_0() self.mpl_ge_3_1_0 = compat._mpl_ge_3_1_0() self.bp_n_objects = 7 self.polycollection_factor = 2 self.default_figsize = (6.4, 4.8) self.default_tick_position = 'left' n = 100 with tm.RNGContext(42): gender = np.random.choice(['Male', 'Female'], size=n) classroom = np.random.choice(['A', 'B', 'C'], size=n) self.hist_df = DataFrame({ 'gender': gender, 'classroom': classroom, 'height': random.normal(66, 4, size=n), 'weight': random.normal(161, 32, size=n), 'category': random.randint(4, size=n) }) self.tdf = tm.makeTimeDataFrame() self.hexbin_df = DataFrame({ "A": np.random.uniform(size=20), "B": np.random.uniform(size=20), "C": np.arange(20) + np.random.uniform(size=20) })