回答編集履歴
4
コード追加
test
CHANGED
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@@ -8,35 +8,41 @@
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【追記】pandasデータフレームからnumpy配列への変換を追加
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```python
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# 架空のデータ
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import numpy as np
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import matplotlib.pyplot as plt
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y1 = np.random.rand(24)
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x2 = range(24)
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mcTrendAllnp = mcTrendAll.to_numpy()
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x3 = range(24)
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xy1 = mcTrendAllnp[:, [0, 1]]
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xy1 = xy1[~np.isnan(xy1).any(axis=1), :]
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y
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xy2 = mcTrendAllnp[:, [0, 2]]
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xy2 = xy2[~np.isnan(xy2).any(axis=1), :]
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xy3 = mcTrendAllnp[:, [0, 3]]
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xy3 = xy3[~np.isnan(xy3).any(axis=1), :]
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num = 12 # 強調したい数字
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import numpy as np
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import matplotlib.pyplot as plt
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@@ -52,13 +58,13 @@
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ax.axvline(num, c='yellow', lw=0.5) # vertical lines
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ax.scatter(x1, y1, c='r', zorder=100)
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ax.scatter(xy1[:, 0], xy1[:, 1], c='r', zorder=100)
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ax.scatter(x2, y2, c='
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ax.scatter(xy2[:, 0], xy2[:, 1], c ='b', marker='^', zorder=100)
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ax.scatter(x3, y3, c='
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ax.scatter(xy3[:, 0], xy3[:, 1], c ='g', marker='s', zorder=100)
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ax.grid()
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ax.grid(color='lightgray', linestyle=':')
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ax.set_axisbelow(True)
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3
コード追加
test
CHANGED
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import numpy as np
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x = range(24)
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x1 = range(24)
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y = np.random.rand(24)
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y1 = np.random.rand(24)
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x2 = range(24)
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y2 = np.random.rand(24)
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x3 = range(24)
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y3 = np.random.rand(24)
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@@ -36,15 +44,19 @@
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ax.set_xticks(np.append(np.arange(0, 21, 5), num))
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colors = {str(num):'
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colors = {str(num):'yellow'}
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weights = {str(num):'bold'}
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sizes = {str(num):16}
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ax.axvline(num, c='
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ax.axvline(num, c='yellow', lw=0.5) # vertical lines
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ax.scatter(x, y, zorder=100)
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ax.scatter(x1, y1, c='r', zorder=100)
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ax.scatter(x2, y2, c='g', zorder=100)
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ax.scatter(x3, y3, c='b', zorder=100)
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ax.grid()
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2
コード修正
test
CHANGED
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@@ -44,7 +44,7 @@
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ax.axvline(num, c='red', lw=0.5) # vertical lines
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ax.scatter(x, y)
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ax.scatter(x, y, zorder=100)
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ax.grid()
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1
コード追加
test
CHANGED
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@@ -38,11 +38,17 @@
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colors = {str(num):'red'}
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weights = {str(num):'bold'}
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sizes = {str(num):16}
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ax.axvline(num, c='red', lw=0.5) # vertical lines
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ax.scatter(x, y)
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ax.grid()
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ax.set_axisbelow(True)
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fig.canvas.draw()
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xtic.set_color(colors[xtic.get_text()])
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xtic.set_weight(weights[xtic.get_text()])
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xtic.set_fontsize(sizes[xtic.get_text()])
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plt.show()
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