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)
})
