回答編集履歴
5
変更
answer
CHANGED
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@@ -64,11 +64,12 @@
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64
64
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if name == '':
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65
65
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break
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66
66
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df1 = df[df["ポケモン名"].str.contains(name)]
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67
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-
print(df1)
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67
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+
# print(df1)
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68
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print(df1.loc[:, ["ポケモン名","こうげき"]])
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68
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attack = str(input("すばやさ (例: 130) "))
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df2 = df1[df1["こうげき"] == int(attack)]
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71
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-
print(df2)
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72
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print(df2.loc[:, ["ポケモン名","こうげき"]])
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72
73
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```
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73
74
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実行例
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74
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-
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4
追記2
answer
CHANGED
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File without changes
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3
追記2
answer
CHANGED
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@@ -50,4 +50,25 @@
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50
50
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print(df[(df["ポケモン名"] == "リザードン") & (df["すばやさ"] == 100)])
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51
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```
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52
52
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実行結果
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53
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-
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53
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+
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54
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55
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+
追記2
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56
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+
```python3
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57
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import csv
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58
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import pandas as pd
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59
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60
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df = pd.read_csv('pokemon_status_utf8.csv')
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61
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62
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while True:
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63
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name = str(input("ポケモン名 (例:リザードン) "))
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64
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if name == '':
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65
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break
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66
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df1 = df[df["ポケモン名"].str.contains(name)]
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67
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print(df1)
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68
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69
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attack = str(input("すばやさ (例: 130) "))
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70
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df2 = df1[df1["こうげき"] == int(attack)]
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71
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print(df2)
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72
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```
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73
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実行例
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74
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+
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2
追記
answer
CHANGED
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@@ -43,4 +43,11 @@
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43
43
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44
44
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参考情報
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45
45
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- Pandas でデータフレームから特定の行・列を取得する
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46
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-
[https://pythondatascience.plavox.info/pandas/%E8%A1%8C%E3%83%BB%E5%88%97%E3%81%AE%E6%8A%BD%E5%87%BA](https://pythondatascience.plavox.info/pandas/%E8%A1%8C%E3%83%BB%E5%88%97%E3%81%AE%E6%8A%BD%E5%87%BA)
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46
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+
[https://pythondatascience.plavox.info/pandas/%E8%A1%8C%E3%83%BB%E5%88%97%E3%81%AE%E6%8A%BD%E5%87%BA](https://pythondatascience.plavox.info/pandas/%E8%A1%8C%E3%83%BB%E5%88%97%E3%81%AE%E6%8A%BD%E5%87%BA)
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47
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+
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48
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+
追記
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49
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```python3
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50
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print(df[(df["ポケモン名"] == "リザードン") & (df["すばやさ"] == 100)])
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51
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```
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52
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実行結果
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53
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+
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1
追記
answer
CHANGED
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@@ -22,4 +22,25 @@
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22
22
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23
23
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参考情報
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24
24
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- Python3 で CSV の読み書きをする方法 – Shift_JIS と UTF-8 対応サンプルコード付
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25
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-
[https://www.craneto.co.jp/archives/1309/#CSV-3](https://www.craneto.co.jp/archives/1309/#CSV-3)
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25
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+
[https://www.craneto.co.jp/archives/1309/#CSV-3](https://www.craneto.co.jp/archives/1309/#CSV-3)
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26
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+
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27
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panda で読み込んで、検索するには次のようにします。
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28
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```python3
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29
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import csv
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30
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import os
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31
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import pandas as pd
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32
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33
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df = pd.read_csv('pokemon_status_utf8.csv')
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34
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print(df.size)
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35
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# print(df[1:2])
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36
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37
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print()
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38
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# print(df[df["ポケモン名"] == "リザードン"])
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39
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print(df[(df["ポケモン名"] == "リザードン") & (df["タイプ２"] == "ひこう")])
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40
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```
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41
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実行例
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42
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43
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+
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44
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参考情報
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45
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+
- Pandas でデータフレームから特定の行・列を取得する
|
|
46
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+
[https://pythondatascience.plavox.info/pandas/%E8%A1%8C%E3%83%BB%E5%88%97%E3%81%AE%E6%8A%BD%E5%87%BA](https://pythondatascience.plavox.info/pandas/%E8%A1%8C%E3%83%BB%E5%88%97%E3%81%AE%E6%8A%BD%E5%87%BA)
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