回答編集履歴
4
コード追加
answer
CHANGED
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@@ -3,32 +3,35 @@
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3
3
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普通の散布図の場合は、こんな感じで描けます
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4
4
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(もっと簡単に描く方法があるかもしれませんが)
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5
5
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6
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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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6
7
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```python
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7
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-
# 架空のデータ
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8
8
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import numpy as np
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9
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-
x1 = range(24)
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10
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-
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9
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+
import matplotlib.pyplot as plt
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11
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-
x2 = range(24)
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12
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-
y2 = np.random.rand(24)
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13
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x3 = range(24)
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14
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-
y3 = np.random.rand(24)
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15
10
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11
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+
mcTrendAllnp = mcTrendAll.to_numpy()
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12
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13
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xy1 = mcTrendAllnp[:, [0, 1]]
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14
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xy1 = xy1[~np.isnan(xy1).any(axis=1), :]
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15
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+
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16
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xy2 = mcTrendAllnp[:, [0, 2]]
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17
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xy2 = xy2[~np.isnan(xy2).any(axis=1), :]
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18
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+
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19
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xy3 = mcTrendAllnp[:, [0, 3]]
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20
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xy3 = xy3[~np.isnan(xy3).any(axis=1), :]
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21
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+
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22
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+
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17
23
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num = 12 # 強調したい数字
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18
24
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19
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-
import numpy as np
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20
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-
import matplotlib.pyplot as plt
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21
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-
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25
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fig, ax = plt.subplots()
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ax.set_xticks(np.append(np.arange(0, 21, 5), num))
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24
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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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27
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ax.axvline(num, c='yellow', lw=0.5) # vertical lines
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28
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-
ax.scatter(
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31
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ax.scatter(xy1[:, 0], xy1[:, 1], c='r', zorder=100)
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29
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-
ax.scatter(
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32
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ax.scatter(xy2[:, 0], xy2[:, 1], c ='b', marker='^', zorder=100)
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30
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-
ax.scatter(
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33
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ax.scatter(xy3[:, 0], xy3[:, 1], c ='g', marker='s', zorder=100)
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31
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-
ax.grid()
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34
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ax.grid(color='lightgray', linestyle=':')
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32
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ax.set_axisbelow(True)
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33
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fig.canvas.draw()
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34
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for xtic in ax.get_xticklabels():
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3
コード追加
answer
CHANGED
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@@ -6,8 +6,12 @@
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6
6
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```python
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7
7
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# 架空のデータ
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8
8
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import numpy as np
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9
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-
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9
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+
x1 = range(24)
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10
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-
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10
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+
y1 = np.random.rand(24)
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11
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x2 = range(24)
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12
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y2 = np.random.rand(24)
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13
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x3 = range(24)
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14
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y3 = np.random.rand(24)
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11
15
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12
16
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13
17
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num = 12 # 強調したい数字
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@@ -17,11 +21,13 @@
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17
21
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18
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fig, ax = plt.subplots()
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ax.set_xticks(np.append(np.arange(0, 21, 5), num))
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20
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-
colors = {str(num):'
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24
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colors = {str(num):'yellow'}
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21
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weights = {str(num):'bold'}
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22
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sizes = {str(num):16}
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23
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ax.axvline(num, c='
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27
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ax.axvline(num, c='yellow', lw=0.5) # vertical lines
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24
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-
ax.scatter(
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28
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ax.scatter(x1, y1, c='r', zorder=100)
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29
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ax.scatter(x2, y2, c='g', zorder=100)
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30
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ax.scatter(x3, y3, c='b', zorder=100)
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25
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ax.grid()
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26
32
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ax.set_axisbelow(True)
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27
33
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fig.canvas.draw()
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2
コード修正
answer
CHANGED
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@@ -21,7 +21,7 @@
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21
21
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weights = {str(num):'bold'}
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22
22
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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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24
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-
ax.scatter(x, y)
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24
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+
ax.scatter(x, y, zorder=100)
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25
25
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ax.grid()
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26
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ax.set_axisbelow(True)
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27
27
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fig.canvas.draw()
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1
コード追加
answer
CHANGED
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@@ -18,13 +18,18 @@
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18
18
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fig, ax = plt.subplots()
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19
19
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ax.set_xticks(np.append(np.arange(0, 21, 5), num))
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20
20
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colors = {str(num):'red'}
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21
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+
weights = {str(num):'bold'}
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22
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sizes = {str(num):16}
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21
23
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ax.axvline(num, c='red', lw=0.5) # vertical lines
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22
24
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ax.scatter(x, y)
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23
25
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ax.grid()
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26
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ax.set_axisbelow(True)
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24
27
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fig.canvas.draw()
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25
28
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for xtic in ax.get_xticklabels():
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if xtic.get_text() in colors.keys(): # Change color if exist else not
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30
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xtic.set_color(colors[xtic.get_text()])
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31
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+
xtic.set_weight(weights[xtic.get_text()])
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32
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xtic.set_fontsize(sizes[xtic.get_text()])
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28
33
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29
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plt.show()
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30
35
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```
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