回答編集履歴
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いくつか方法があります。
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```python
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df.assign(index=range(len(df)))
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# または
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df.assign(idx=np.arange(len(df)))
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# または
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df.assign(idx=pd.RangeIndex(len(df)))
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```
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```
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---
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速度計測
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```python
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import benchit
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import numpy as np
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import pandas as pd
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def by_reset_reset(df):
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return df.reset_index().reset_index().set_index('index')
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def by_reset(df):
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return df.assign(idx=df.reset_index().index)
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def by_range(df):
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return df.assign(idx=range(len(df)))
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def by_np_arange(df):
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return df.assign(idx=np.arange(len(df)))
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def by_rangeindex(df):
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return df.assign(idx=pd.RangeIndex(len(df)))
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df = pd._testing.makeDataFrame()
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t = benchit.timings([by_reset_reset, by_reset, by_range, by_np_arange, by_rangeindex],
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[df.sample(n, replace=True, random_state=0)
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for n in 10**np.arange(6)])
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t.plot(logx=True, logy=True, figsize=(10, 6))
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```
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