回答編集履歴
2
d
test
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@@ -59,3 +59,77 @@
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Name: nDetections, dtype: int64
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```
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## 追記
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> 該当する行を丸々抽出したいという場合はどうしたら良いでしょうか。
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1. 列 nDetections が大きい順にならべる。
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`df.sort_values(['nDetections'], ascending=False)`
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2. 列 ra, dec の値が同じものは削除する。
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`drop_duplicates(['ra', 'dec'])`
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drop_duplicates() のデフォルト引数が keep='first' なので、列 ra, dec の値が同じ行で列 nDetections の値が一番大きい行が残り、ほかは削除される。
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```python
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from io import StringIO
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import pandas as pd
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text = StringIO('''ra dec nDetections test
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123.456 5.555 3 a
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123.456 5.555 6 b
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123.456 5.555 9 c
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456.789 6.666 10 d
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456.789 6.666 7 e
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456.789 6.666 11 f''')
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df = pd.read_csv(text, delim_whitespace=True)
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extract = df.sort_values(['nDetections'], ascending=False).drop_duplicates(['ra', 'dec'])
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extract
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```
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```
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ra dec nDetections test
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5 456.789 6.666 11 f
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2 123.456 5.555 9 c
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```
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1
d
test
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@@ -42,6 +42,20 @@
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-
group['nDetections'].max()
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print(group['nDetections'].max())
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```
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```txt
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ra dec
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123.456 5.555 9
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456.789 6.666 11
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Name: nDetections, dtype: int64
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```
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