回答編集履歴
8
修正
test
CHANGED
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@@ -28,9 +28,9 @@
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df = a.set_index([np.ones(len(a), dtype='int')])\
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.join(b.set_index([np.ones(len(b), dtype='int')]))\
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.join(b.set_index([np.ones(len(b), dtype='int')]), rsuffix='_b')\
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.join(c.set_index([np.ones(len(b), dtype='int')]))\
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.join(c.set_index([np.ones(len(b), dtype='int')]), lsuffix='_a', rsuffix='_c')\
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.reset_index(drop=True)
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7
修正
test
CHANGED
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@@ -6,11 +6,11 @@
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6
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7
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with open('time.csv', 'w') as f:
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for at in a['
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for at in a['time']:
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for bt in b['
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for bt in b['time']:
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for ct in c['
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for ct in c['time']:
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f.write(f'{at},{bt},{ct}\n')
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@@ -50,7 +50,7 @@
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df2 = pd.DataFrame(itertools.product(a['
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df2 = pd.DataFrame(itertools.product(a['time'], b['time'], c['time']),
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columns=['atime', 'btime', 'ctime'])
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6
誤字修正
test
CHANGED
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@@ -50,10 +50,10 @@
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df2 = pd.DataFrame(itertools.product(a['atime'],b['btime'],c['ctime']),
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df2 = pd.DataFrame(itertools.product(a['atime'], b['btime'], c['ctime']),
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columns=['atime','btime','ctime'])
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columns=['atime', 'btime', 'ctime'])
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df.to_csv('time.csv')
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df2.to_csv('time.csv')
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```
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5
修正
test
CHANGED
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@@ -37,3 +37,23 @@
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df.to_csv('time.csv')
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```
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itertoolsを使うのであれば次のように直接DataFrameに変換した方がずっと速いです。でも、joinを使う方が速いです。
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```python
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import itertools
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df2 = pd.DataFrame(itertools.product(a['atime'],b['btime'],c['ctime']),
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columns=['atime','btime','ctime'])
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df.to_csv('time.csv')
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```
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4
修正
test
CHANGED
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@@ -26,13 +26,13 @@
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a.set_index([np.ones(len(a), dtype='int')]
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df = a.set_index([np.ones(len(a), dtype='int')])\
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b.set_index([np.ones(len(b), dtype='int')]
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.join(b.set_index([np.ones(len(b), dtype='int')]))\
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c.set_index([np.ones(len(
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.join(c.set_index([np.ones(len(b), dtype='int')]))\
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.reset_index(drop=True)
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df.to_csv('time.csv')
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3
修正
test
CHANGED
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@@ -26,13 +26,11 @@
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s
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a.set_index([np.ones(len(a), dtype='int')],inplace=True)
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b.set_index([np.ones(len(b), dtype='int')],inplace=True)
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b.set_index([s],inplace=True)
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c.set_index([s],inplace=True)
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c.set_index([np.ones(len(c), dtype='int')],inplace=True)
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df = a.join(b).join(c)
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2
修正
test
CHANGED
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@@ -22,6 +22,10 @@
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```python
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import numpy as np
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s = np.ones(len(a), dtype='int')
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a.set_index([s],inplace=True)
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1
回答の追加
test
CHANGED
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@@ -15,3 +15,23 @@
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15
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f.write(f'{at},{bt},{ct}\n')
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```
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Pandasだけで完結したいのであれば、join又はmergeを使う方法があります。
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```python
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s = np.ones(len(a), dtype='int')
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a.set_index([s],inplace=True)
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b.set_index([s],inplace=True)
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c.set_index([s],inplace=True)
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df = a.join(b).join(c)
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df.to_csv('time.csv')
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```
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