matplotlibスタイルシート

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python -c "import matplotlib;print(matplotlib.matplotlib_fname())"

plt.show()

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import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris

plt.style.use("k_dm.mplstyle")  # ここで自作したスタイルシートを読み込んでいます

plt.show()

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Xy = load_iris(as_frame=True)
X = Xy["data"].values
y = Xy["target"].values

markers = ["o", "^", "v"]
featname_1 = "sepal length (cm)"
featname_2 = "sepal width (cm)"

fig, ax = plt.subplots(figsize=(8, 8))
for i in range(3):
    plt.scatter(X[y == i, 0], X[y == i, 1], marker=markers[i])
plt.xlabel(featname_1)
plt.ylabel(featname_2)
plt.legend(Xy.target_names)
plt.title("sample title")
plt.show()

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fig, ax = plt.subplots(figsize=(8, 8))
X, Y = np.meshgrid(np.linspace(0.0, 5.0, 10), np.linspace(0.0, 5.0, 10))
x, y = X.ravel(), Y.ravel()
ax.scatter(x, y, label="A")
ax.scatter(x + 2.5, y + 2.5, label="B")
ax.scatter(x - 2.5, y - 2.5, label="C")
plt.grid()
plt.show()

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plt.figure(figsize=(13, 7))
x = np.linspace(0, 10, 100) + 1.0
plt.plot(x, np.cos(x), label="cos")
plt.plot(x, np.sin(x), label="sin")
plt.plot(x, np.log(x), label="log")
plt.plot(x, np.cos(x) + np.sin(x), label="cos+sin")
plt.legend()
plt.title("sample title")
plt.grid()
plt.show()

plt.figure(figsize=(13, 7))
x = np.linspace(0, 10, 40) + 1.0
plt.plot(x, np.cos(x), "x", label="cos")
plt.plot(x, np.sin(x), "^", label="sin")
plt.plot(x, np.log(x), ".-", label="log")
plt.plot(x, np.cos(x) + np.sin(x), "v", label="cos+sin")
plt.legend()
plt.title("sample title")
plt.show()

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np.random.seed(777)

x1 = np.random.normal(1, 1, 200)
x2 = np.random.normal(5, 2, 200)
x3 = np.random.normal(10, 3, 200)

fig = plt.figure(figsize=(13, 7))
ax = fig.add_subplot(1, 1, 1)
ax.boxplot([x1, x2, x3], labels=["A", "B", "C"])
plt.title("sample title")
plt.show()

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np.random.seed(777)

fig = plt.figure(figsize=(13, 7))
indexes = np.array([i for i in range(10)]) * 6
for i, label in enumerate(["あいうえお", "かきくけこ", "さしすせそ", "たちつてと", "なにぬねの"]):
    plt.bar(indexes + i, [np.random.randint(5, 10) + i for _ in range(10)], label=label)
plt.legend()
plt.title("sample title")
plt.grid(axis="y")
plt.show()

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year = [1950, 1960, 1970, 1980, 1990, 2000, 2010, 2018]
population_by_continent = {
    "africa": [228, 284, 365, 477, 631, 814, 1044, 1275],
    "americas": [340, 425, 519, 619, 727, 840, 943, 1006],
    "asia": [1394, 1686, 2120, 2625, 3202, 3714, 4169, 4560],
    "europe": [220, 253, 276, 295, 310, 303, 294, 293],
    "oceania": [12, 15, 19, 22, 26, 31, 36, 39],
}

fig, ax = plt.subplots(figsize=(13, 7))
ax.stackplot(
    year,
    population_by_continent.values(),
    labels=population_by_continent.keys(),
    alpha=0.8,
)
ax.legend(loc="upper left")
ax.set_title("World population")
ax.set_xlabel("Year")
ax.set_ylabel("Number of people (millions)")

plt.show()