Matplotlibで日本語表示
matplotlib-fontjaで日本語表示に対応する．
matplotlibで日本語フォントを使う準備¶
# matplotlibで日本語フォントを使う準備１
# matplotlib-fontjaのインストール
!pip install matplotlib-fontjaCollecting matplotlib-fontja
Downloading matplotlib_fontja-1.1.0-py2.py3-none-any.whl.metadata (5.7 kB)
Collecting matplotlib (from matplotlib-fontja)
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Collecting contourpy>=1.0.1 (from matplotlib->matplotlib-fontja)
Downloading contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.5 kB)
Collecting cycler>=0.10 (from matplotlib->matplotlib-fontja)
Downloading cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB)
Collecting fonttools>=4.22.0 (from matplotlib->matplotlib-fontja)
Downloading fonttools-4.59.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (107 kB)
Collecting kiwisolver>=1.3.1 (from matplotlib->matplotlib-fontja)
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Collecting numpy>=1.23 (from matplotlib->matplotlib-fontja)
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Collecting packaging>=20.0 (from matplotlib->matplotlib-fontja)
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Collecting pillow>=8 (from matplotlib->matplotlib-fontja)
Downloading pillow-11.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (9.0 kB)
Collecting pyparsing>=2.3.1 (from matplotlib->matplotlib-fontja)
Downloading pyparsing-3.2.3-py3-none-any.whl.metadata (5.0 kB)
Collecting python-dateutil>=2.7 (from matplotlib->matplotlib-fontja)
Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
Collecting six>=1.5 (from python-dateutil>=2.7->matplotlib->matplotlib-fontja)
Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
Downloading matplotlib_fontja-1.1.0-py2.py3-none-any.whl (4.2 MB)
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Downloading matplotlib-3.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.6 MB)
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Downloading contourpy-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (326 kB)
Downloading cycler-0.12.1-py3-none-any.whl (8.3 kB)
Downloading fonttools-4.59.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (5.0 MB)
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Downloading kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB)
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Downloading numpy-2.3.1-cp311-cp311-manylinux_2_28_x86_64.whl (16.9 MB)
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Downloading packaging-25.0-py3-none-any.whl (66 kB)
Downloading pillow-11.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (6.6 MB)
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Downloading pyparsing-3.2.3-py3-none-any.whl (111 kB)
Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
Downloading six-1.17.0-py2.py3-none-any.whl (11 kB)
Installing collected packages: six, pyparsing, pillow, packaging, numpy, kiwisolver, fonttools, cycler, python-dateutil, contourpy, matplotlib, matplotlib-fontja
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━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 4/12 [numpy] 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Successfully installed contourpy-1.3.2 cycler-0.12.1 fonttools-4.59.0 kiwisolver-1.4.8 matplotlib-3.10.3 matplotlib-fontja-1.1.0 numpy-2.3.1 packaging-25.0 pillow-11.3.0 pyparsing-3.2.3 python-dateutil-2.9.0.post0 six-1.17.0
# matplotlibで日本語フォントを使う準備２
# matplotlibとともにjapanize_matplotlibを読み込む
import matplotlib.pyplot as plt
import matplotlib_fontjamatplotlib_fontjaの読み込みはmatplotlibの後に行う必要がある．
離散指数増殖モデル¶
# 離散指数増殖モデル
a = 0.1
x = 1
t = 0
t_list = [t]
x_list = [x]
for i in range(100):
t = t + 1
x = x + a * x
t_list.append(t)
x_list.append(x)# タイトル・軸ラベル（日本語）
plt.plot(t_list, x_list)
plt.title("指数増殖")
plt.xlabel("時刻 (t)")
plt.ylabel("集団サイズ (x)")