回答編集履歴
3
追記
test
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@@ -3,3 +3,53 @@
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subplotを使うとしたら、データフレームを都道府県ごとに抽出して、`ax`引数にsubplotを渡せば良いのでは。
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```python
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import pandas as pd
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import seaborn as sns
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import matplotlib.pyplot as plt
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# データフレームの準備
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pref = ["東京", "東京", "東京", "埼玉", "埼玉", "埼玉", "東京", "東京", "埼玉", "埼玉"]
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house = ["木造", "鉄骨", "木造", "鉄骨", "木造", "鉄骨", "鉄骨", "鉄骨", "木造", "木造"]
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value = [100, 120, 100, 80, 80, 90, 90, 130, 100, 60]
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df = pd.DataFrame({'都道府県':pref, '建物': house, '価格':value})
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fig, axes = plt.subplots(7, 7, figsize=(50, 50), sharey=True)
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pref_list = ["東京", "埼玉"]
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for i, pref in enumerate(pref_list):
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i, j = i // 7, i % 7
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data = df.query(f"都道府県=='{pref}'")
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sns.boxplot(x="都道府県", y="価格", hue="建物", data=data, ax=axes[i, j])
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plt.show()
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```
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2
ミスってたので一回消す
test
CHANGED
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@@ -3,47 +3,3 @@
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subplotを使うとしたら、データフレームを都道府県ごとに抽出して、`ax`引数にsubplotを渡せば良いのでは。
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```python
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import pandas as pd
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import seaborn as sns
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import matplotlib.pyplot as plt
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# データフレームの準備
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pref = ["東京", "東京", "東京", "埼玉", "埼玉", "埼玉", "東京", "東京", "埼玉", "埼玉"]
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house = ["木造", "鉄骨", "木造", "鉄骨", "木造", "鉄骨", "鉄骨", "鉄骨", "木造", "木造"]
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value = [100, 120, 100, 80, 80, 90, 90, 130, 100, 60]
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df = pd.DataFrame({'都道府県':pref, '建物': house, '価格':value})
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fig, axes = plt.subplots(7, 7, figsize=(50, 50), sharey=True)
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pref_list = ["東京", "埼玉"]
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for i, pref in enumerate(pref_list):
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i, j = i // 7, i % 7
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sns.boxplot(x="都道府県", y="価格", hue="建物", data=df, ax=axes[i, j])
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plt.show()
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```
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1
修正
test
CHANGED
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@@ -2,8 +2,48 @@
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2
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3
3
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4
4
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5
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-
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5
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+
subplotを使うとしたら、データフレームを都道府県ごとに抽出して、`ax`引数にsubplotを渡せば良いのでは。
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6
6
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7
7
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8
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9
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```python
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10
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11
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import pandas as pd
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12
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13
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import seaborn as sns
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14
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15
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import matplotlib.pyplot as plt
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16
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# データフレームの準備
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20
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+
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21
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pref = ["東京", "東京", "東京", "埼玉", "埼玉", "埼玉", "東京", "東京", "埼玉", "埼玉"]
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house = ["木造", "鉄骨", "木造", "鉄骨", "木造", "鉄骨", "鉄骨", "鉄骨", "木造", "木造"]
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value = [100, 120, 100, 80, 80, 90, 90, 130, 100, 60]
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df = pd.DataFrame({'都道府県':pref, '建物': house, '価格':value})
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fig, axes = plt.subplots(7, 7, figsize=(50, 50), sharey=True)
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pref_list = ["東京", "埼玉"]
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for i, pref in enumerate(pref_list):
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i, j = i // 7, i % 7
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sns.boxplot(x="都道府県", y="価格", hue="建物", data=df, ax=axes[i, j])
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plt.show()
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```
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