質問編集履歴
4
ファイル先を変更しました
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test
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@@ -112,7 +112,7 @@
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-
m.save('/content/gdrive/MyDrive/
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+
m.save('/content/gdrive/MyDrive/data/fukushima.html')
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```
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3
csvの冒頭部分を追加しました。
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test
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@@ -149,5 +149,3 @@
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白河市,"29,690",286,"29,976","29,760",374,"30,134","59,450",660,"60,110","24,515",377,180,"25,072",72052
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150
150
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151
151
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須賀川市,"37,175",201,"37,376","38,252",264,"38,516","75,427",465,"75,892","29,442",300,93,"29,835",72079
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152
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-
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-
ここにより詳細な情報を記載してください。
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2
質問を受けてデータの取得先やcsvの冒頭部分等を補足しました。
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TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
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### 該当のソースコード
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53
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```Python
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!pip install folium==0.8.3
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@@ -110,6 +114,8 @@
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m.save('/content/gdrive/MyDrive/安宅研/data/fukushima.html')
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+
```
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### 試したこと
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@@ -120,6 +126,28 @@
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### 補足情報（FW/ツールのバージョンなど）
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fukushima_population.csvはhttps://www.pref.fukushima.lg.jp/sec/01145a/juukijinkou.html
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fukushima.geojsonはhttps://nlftp.mlit.go.jp/ksj/index.html
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+
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133
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市区町村コードはhttps://www.soumu.go.jp/denshijiti/code.htmlから取得しました。市区町村コードはcsvファイルに直接入れました。
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134
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135
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+
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csvの中身
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139
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市町村別人口､世帯数（令和３年1月1日現在),男日本人,男外国人,男合計,女日本人,女外国人,女合計,日本人合計,外国人合計,合計,日本人世帯数,外国人世帯,複数国籍世帯,世帯合計,行政団体コード
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140
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141
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福島市,"133,371",791,"134,162","140,344","1,140","141,484","273,715","1,931","275,646","122,223","1,041",614,"123,878",72010
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142
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+
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143
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+
会津若松市,"55,586",370,"55,956","60,580",491,"61,071","116,166",861,"117,027","51,325",491,214,"52,030",72028
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144
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+
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145
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+
郡山市,"156,389","1,338","157,727","162,048","1,619","163,667","318,437","2,957","321,394","140,387","1,852",658,"142,897",72036
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146
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+
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147
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いわき市,"155,409","1,352","156,761","160,188","1,541","161,729","315,597","2,893","318,490","144,235","1,863",695,"146,793",72044
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148
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+
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149
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白河市,"29,690",286,"29,976","29,760",374,"30,134","59,450",660,"60,110","24,515",377,180,"25,072",72052
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150
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+
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151
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須賀川市,"37,175",201,"37,376","38,252",264,"38,516","75,427",465,"75,892","29,442",300,93,"29,835",72079
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152
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+
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153
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ここにより詳細な情報を記載してください。
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1
コードの内容をすべて記載しました。よろしくお願いします。
test
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test
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@@ -50,11 +50,41 @@
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### 該当のソースコード
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52
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53
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!pip install folium==0.8.3
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55
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fukushima_location = [37.750299, 140.467551]
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import pandas as pd
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fukushima_data = pd.read_csv('/content/gdrive/MyDrive/data/fukushima_population.csv', encoding='utf-8')
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64
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fukushima_data.head()
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68
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fukushima_data['行政区分コード'] = fukushima_data['行政団体コード'].astype('str')
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70
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71
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fukushima_data['行政区分コード'] = fukushima_data['行政区分コード'].str[:4]
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72
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73
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fukushima_data['行政区分コード'] = fukushima_data['行政区分コード'].str.zfill(5)
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74
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75
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geojson = '/content/gdrive/MyDrive/data/fukushima.geojson'
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80
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!pip install folium
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82
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import folium
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84
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53
85
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55
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m = folium.Map(location=fukushima_location,tiles='cartodbpositron',zoom_start=10)
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-
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88
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folium.Choropleth(
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