回答編集履歴
4
サンプルを追加
test
CHANGED
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@@ -73,3 +73,67 @@
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73
73
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tb['Week_Number'] = (tb['date1'].dt.week - tb['date1'].astype('datetime64[M]').dt.week) + 1
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74
74
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75
75
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```
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76
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+
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77
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+
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78
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+
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79
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+
###【更に追記】
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80
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+
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81
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+
動作確認サンプル
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82
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+
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83
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+
```Python
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84
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+
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85
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+
import pandas as pd
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86
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+
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87
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import io
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88
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+
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89
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csv = """
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90
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+
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91
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date1,val
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92
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+
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93
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+
2019/1/1,1
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94
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+
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95
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+
2019/1/15,2
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96
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+
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97
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+
2019/2/1,3
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98
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+
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99
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2019/2/15,4
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100
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+
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101
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"""
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102
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+
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103
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df = pd.read_csv(io.StringIO(csv),parse_dates=['date1'])
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104
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+
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105
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print(df['date1'].dt.week)
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106
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+
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107
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#0 1
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108
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+
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109
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+
#1 3
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110
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+
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111
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+
#2 5
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112
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+
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113
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#3 7
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114
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+
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115
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#Name: date1, dtype: int64
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116
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+
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117
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print(df['date1'].astype('datetime64[M]').dt.week)
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118
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+
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119
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#0 1
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120
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+
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121
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#1 1
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122
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+
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123
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#2 5
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124
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+
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125
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#3 5
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126
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+
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127
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#Name: date1, dtype: int64
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128
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+
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129
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print(df['date1'].dt.week - df['date1'].astype('datetime64[M]').dt.week + 1)
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130
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+
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131
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#0 1
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132
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+
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133
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+
#1 3
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134
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+
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135
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#2 1
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136
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+
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137
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#3 3
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138
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+
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139
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+
```
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3
回答に追記
test
CHANGED
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@@ -45,3 +45,31 @@
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45
45
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```
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46
46
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47
47
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となります
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48
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+
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49
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50
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+
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51
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+
### 【追記】
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|
52
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+
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53
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+
> 年ではなく、月の週番号になります。
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54
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+
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55
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+
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56
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+
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57
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+
であれば、
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58
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+
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59
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+
```Python
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60
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+
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61
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+
tb['date1'].astype('datetime64[M]').dt.week
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62
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+
|
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63
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+
```
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64
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+
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65
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+
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66
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+
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67
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で ``date1`` の月の初め（１日）の Week番号が得られますので、ここからの差を求めると良いのではないでしょうか
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68
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+
|
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69
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+
|
|
70
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+
|
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71
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+
```Python
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72
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+
|
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73
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+
tb['Week_Number'] = (tb['date1'].dt.week - tb['date1'].astype('datetime64[M]').dt.week) + 1
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74
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+
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75
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+
```
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2
サンプル修正
test
CHANGED
|
@@ -40,7 +40,7 @@
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40
40
|
|
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41
41
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tb=pd.read_csv('./total_table.csv',sep=',', parse_dates=['date1'])
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42
42
|
|
|
43
|
-
tb['
|
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43
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+
tb['weeknum'] = tb['date1'].dt.week
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44
44
|
|
|
45
45
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```
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46
46
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1
タイポを修正
test
CHANGED
|
@@ -12,7 +12,7 @@
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12
12
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13
13
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```csv
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14
14
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15
|
-
date1,
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15
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+
date1,val1
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16
16
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17
17
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2019/1/1,1
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18
18
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