回答編集履歴
3
Update
test
CHANGED
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@@ -14,16 +14,18 @@
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14
14
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# 0 1 108.5 3.2 10.9 9.8 8.3 100 200.0 6.9
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15
15
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# 1 2 10.9 0.0 3.4 1.0 2.3 2 5.7 3.0
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16
16
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17
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+
pd.set_option('display.max_columns', None)
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17
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-
print(df.
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18
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print(df.applymap(type))
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19
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# 0 1 2 3
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20
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# 0 <class 'int'> <class 'float'> <class 'float'> <class 'float'>
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21
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# 1 <class 'int'> <class 'float'> <class 'float'> <class 'float'>
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#
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# 4 5 6 7
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# 0 <class 'float'> <class 'float'> <class 'int'> <class 'float'>
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# 1 <class 'float'> <class 'float'> <class 'int'> <class 'float'>
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#
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# 8
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18
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-
# 0
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28
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# 0 <class 'float'>
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-
# 1
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29
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# 1 <class 'float'>
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-
# 2 <class 'float'>
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# 3 <class 'float'>
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# 4 <class 'float'>
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# 5 <class 'float'>
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# 6 <class 'float'>
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# 7 <class 'float'>
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# 8 <class 'float'>
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27
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-
# Name: 0, dtype: object
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28
30
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```
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29
31
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2
Update
test
CHANGED
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@@ -1,4 +1,4 @@
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1
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-
**Op
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1
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+
**Opt.dat**
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2
2
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```tsv
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3
3
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1 108.5 3.2 Var1=10.9 Var2=9.8 Var3=8.3 100 200 Var4=6.9
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4
4
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2 Var5=10.9 0 Var6=3.4 1 Var7=2.3 2 Var8=5.7 3
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1
test
CHANGED
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@@ -7,7 +7,7 @@
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7
7
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```python
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8
8
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import pandas as pd
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9
9
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10
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-
df = pd.read_table('Opt.dat', sep=r'\t(?:\w+
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10
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+
df = pd.read_table('Opt.dat', sep=r'\t(?:\w+=)?', header=None, engine='python')
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11
11
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12
12
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print(df)
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13
13
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# 0 1 2 3 4 5 6 7 8
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