回答編集履歴
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追記
test
CHANGED
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@@ -55,3 +55,63 @@
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"""
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```
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表示形式を指定
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--
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すこし面倒ですが、以下のようなコードにより、数値のまま表示形式を変えることもできます。
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参考：[How to display pandas DataFrame of floats using a format string for columns?](https://stackoverflow.com/questions/20937538/how-to-display-pandas-dataframe-of-floats-using-a-format-string-for-columns)
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```Python
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import pandas as pd
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# テストデータ
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df = pd.DataFrame({'date':['2019-09-06'], 'close':[2335.0], 'hist':[-24.684088]})
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df['date'] = pd.to_datetime(df['date'])
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formatters = {} # 列ごとの書式
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for c in df.select_dtypes(include=float).columns:
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if c == 'hist':
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formatters[c] = '{:.2f}'.format
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else:
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formatters[c] = '{:,.0f}'.format
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print(df.to_string(formatters=formatters))
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# date close hist
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#0 2019-09-06 2,335 -24.68
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print(df.dtypes)
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"""
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date datetime64[ns]
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close float64
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hist float64
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"""
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```
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