質問編集履歴
3
dfをランダムな値に修正
test
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test
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@@ -12,31 +12,31 @@
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欲しい結果と一致しません
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1 2 3 4 5 6 7 8
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1 2 3 4 5 6 7 8
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1 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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1 99.000000 99.0 99.000000 99.0 99.0 99.0 99.0 99.0
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2 1.
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2 1.867558 99.0 0.950088 99.0 NaN 99.0 NaN 99.0
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20
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3 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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3 99.000000 99.0 99.000000 99.0 99.0 99.0 99.0 99.0
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22
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4 1
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4 0.761038 99.0 0.443863 99.0 NaN 99.0 NaN 99.0
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24
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5 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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5 99.000000 99.0 99.000000 99.0 99.0 99.0 99.0 99.0
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6
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6 -2.552990 99.0 0.864436 99.0 NaN 99.0 NaN 99.0
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7 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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7 99.000000 99.0 99.000000 99.0 99.0 99.0 99.0 99.0
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30
30
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31
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8 NaN 99.0 NaN 99.0 NaN 99.0 NaN 99.0
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8 NaN 99.0 NaN 99.0 NaN 99.0 NaN 99.0
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9 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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9 99.000000 99.0 99.000000 99.0 99.0 99.0 99.0 99.0
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10 NaN 99.0 NaN 99.0 NaN 99.0 NaN 99.0
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10 NaN 99.0 NaN 99.0 NaN 99.0 NaN 99.0
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11 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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11 99.000000 99.0 99.000000 99.0 99.0 99.0 99.0 99.0
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12 NaN 99.0 NaN 99.0 NaN 99.0 NaN 99.0
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12 NaN 99.0 NaN 99.0 NaN 99.0 NaN 99.0
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@@ -50,7 +50,9 @@
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x2=8;y2=12
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53
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+
np.random.seed(0)
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54
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+
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53
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-
df=pd.DataFrame(
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55
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+
df=pd.DataFrame(np.random.randn(y, x),index=np.arange(1,y+1), columns=np.arange(1,x+1))
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54
56
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df2=pd.DataFrame(99.,index=np.arange(1,y2+1),columns=np.arange(1,x2+1))
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@@ -84,28 +86,28 @@
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84
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85
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欲しい結果
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86
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87
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1 2 3 4 5 6 7 8
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89
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1 2 3 4 5 6 7 8
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90
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89
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1 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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1 99.000000 99.0 99.000000 99.0 99.000000 99.0 99.000000 99.0
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90
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2 1.0 99.0
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2 1.764052 99.0 0.400157 99.0 0.978738 99.0 2.240893 99.0
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92
94
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93
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3 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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95
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3 99.000000 99.0 99.000000 99.0 99.000000 99.0 99.000000 99.0
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94
96
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95
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4 1.
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97
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4 1.867558 99.0 -0.977278 99.0 0.950088 99.0 -0.151357 99.0
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96
98
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97
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5 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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99
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5 99.000000 99.0 99.000000 99.0 99.000000 99.0 99.000000 99.0
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98
100
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99
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6
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101
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6 -0.103219 99.0 0.410599 99.0 0.144044 99.0 1.454274 99.0
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102
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101
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7 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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7 99.000000 99.0 99.000000 99.0 99.000000 99.0 99.000000 99.0
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102
104
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103
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-
8 1
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105
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8 0.761038 99.0 0.121675 99.0 0.443863 99.0 0.333674 99.0
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104
106
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105
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9 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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107
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9 99.000000 99.0 99.000000 99.0 99.000000 99.0 99.000000 99.0
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106
108
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107
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10 1.0 99.0
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109
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10 1.494079 99.0 -0.205158 99.0 0.313068 99.0 -0.854096 99.0
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108
110
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109
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-
11 99.0 99.0 99.0 99.0 99.0 99.0 99.0 99.0
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111
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+
11 99.000000 99.0 99.000000 99.0 99.000000 99.0 99.000000 99.0
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110
112
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111
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-
12
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113
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+
12 -2.552990 99.0 0.653619 99.0 0.864436 99.0 -0.742165 99.0
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2
tabの修正
test
CHANGED
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File without changes
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test
CHANGED
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@@ -68,6 +68,8 @@
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68
68
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69
69
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For loop のコード
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70
70
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71
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+
```
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72
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+
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71
73
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for jy in range(1,y+1):
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72
74
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73
75
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for jx in range(1,x+1):
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@@ -78,7 +80,7 @@
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78
80
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79
81
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df2[ix][iy]=df[jx][jy]
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80
82
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81
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-
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83
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+
```
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82
84
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83
85
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欲しい結果
|
|
84
86
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1
誤字修正
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -1,6 +1,6 @@
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1
1
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### 前提・実現したいこと
|
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2
2
|
|
|
3
|
-
Python の
|
|
3
|
+
Python のpandasでFor loop を使わずdataframe を更新したいです。
|
|
4
4
|
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5
5
|
欲しい結果のDataframeはFor loopで作れますが、 以下のようにしても作成できません。
|
|
6
6
|
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