| import gc |
|
|
| import numpy as np |
| import pytest |
|
|
| from pandas import ( |
| DataFrame, |
| to_datetime, |
| ) |
|
|
|
|
| @pytest.fixture(autouse=True) |
| def mpl_cleanup(): |
| |
| |
| |
| |
| mpl = pytest.importorskip("matplotlib") |
| mpl_units = pytest.importorskip("matplotlib.units") |
| plt = pytest.importorskip("matplotlib.pyplot") |
| orig_units_registry = mpl_units.registry.copy() |
| with mpl.rc_context(): |
| mpl.use("template") |
| yield |
| mpl_units.registry.clear() |
| mpl_units.registry.update(orig_units_registry) |
| plt.close("all") |
| |
| gc.collect(1) |
|
|
|
|
| @pytest.fixture |
| def hist_df(): |
| n = 50 |
| rng = np.random.default_rng(10) |
| gender = rng.choice(["Male", "Female"], size=n) |
| classroom = rng.choice(["A", "B", "C"], size=n) |
|
|
| hist_df = DataFrame( |
| { |
| "gender": gender, |
| "classroom": classroom, |
| "height": rng.normal(66, 4, size=n), |
| "weight": rng.normal(161, 32, size=n), |
| "category": rng.integers(4, size=n), |
| "datetime": to_datetime( |
| rng.integers( |
| 812419200000000000, |
| 819331200000000000, |
| size=n, |
| dtype=np.int64, |
| ) |
| ), |
| } |
| ) |
| return hist_df |
|
|