4|7和4&7

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4|7和4&7

 


System.out.println(4|7)

4和7的2进制表示法如下: 
4: 00000100 7: 00000111
 "|"是或的意思,当: 0和1返回1, 1和0返回1, 1和1返回1, 0和0返回0 
所以: 4: 00000100 7: 00000111 
(结果) 7: 00000111

System.out.println(4&7); 

4: 00000100 7: 00000111 
"&"是与的意思,当: 0和1返回0, 1和0返回0, 1和1返回1, 0和0返回0 
所以: 4: 00000100 7: 00000111 
(结果) 4: 00000100 


 

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请详细介绍下面这段代码的功能Private Sub CREATE_TEST_SAMPLE_LIST_FILE() Dim Checking_user As Object Dim Found_reference_matricx_id As Variant Set Checking_user = CreateObject("WScript.Network") UserName = Checking_user.UserName MsgBox "Only transfer Data to empty LIMS order" Run "PREPARE_TEST_SAMPLE_LIST" Content = "" Test_sample_Content = "" reference_order = Trim(Worksheets("REFERENCE TEST ORDER").Range("A2")) row_no = 4 bom_Content = "" With Worksheets("SAMPLE MATRIX") ORDER_NO_INPUT = .Range("D1") Do Until .Cells(row_no, 2) = "" Set Found_reference_matricx_id = Worksheets("MATERIAL ID").Range("B:B").Find(What:=Trim(.Cells(row_no, 3)), LookAt:=xlWhole) If Not Found_reference_matricx_id Is Nothing Then Reference_matricx_id = Worksheets("MATERIAL ID").Range("A" & Found_reference_matricx_id.Row) If bom_Content = "" Then bom_Content = Trim(.Cells(row_no, 2)) & "||" & Reference_matricx_id & "||" & Trim(.Cells(row_no, 3)) & "||" & Trim(.Cells(row_no, 4)) & "||" & Trim(.Cells(row_no, 5)) & "||" & Trim(.Cells(row_no, 6)) Else bom_Content = bom_Content & vbCrLf & _ Trim(.Cells(row_no, 2)) & "||" & Reference_matricx_id & "||" & Trim(.Cells(row_no, 3)) & "||" & Trim(.Cells(row_no, 4)) & "||" & Trim(.Cells(row_no, 5)) & "||" & Trim(.Cells(row_no, 6)) End If End If row_no = row_no + 1 Loop col_no = 7 Do Until .Cells(1, col_no) = "" If method_id_list = "" Then method_id_list = Trim(.Cells(1, col_no)) Else method_id_list = method_id_list & vbCrLf & _ Trim(.Cells(1, col_no)) End If col_no = col_no + 1 Loop End With row_no = 2 Test_sample_Content = "" With Worksheets("TEST SAMPLE SUMMARY") Do Until .Cells(row_no, 1) = "" If Test_sample_Content = "" Then Temp_Test_sample_Content = Trim(.Cells(row_no, 1)) & "||" & Trim(.Cells(row_no, 3)) & "||" & Trim(.Cells(row_no, 4)) Temp_Test_sample_Content = Replace(Temp_Test_sample_Content, Chr(10), " ") Temp_Test_sample_Content = Replace(Temp_Test_sample_Content, vbCrLf, " ") Test_sample_Content = Temp_Test_sample_Content Else Temp_Test_sample_Content = Trim(.Cells(row_no, 1)) & "||" & Trim(.Cells(row_no, 3)) & "||" & Trim(.Cells(row_no, 4)) Temp_Test_sample_Content = Replace(Temp_Test_sample_Content, Chr(10), " ") Temp_Test_sample_Content = Replace(Temp_Test_sample_Content, vbCrLf, " ") Test_sample_Content = Test_sample_Content & vbCrLf & Temp_Test_sample_Content End If row_no = row_no + 1 Loop End With Content = vbCrLf & _ "<reference order>" & vbCrLf & _ reference_order & vbCrLf & _ "</reference order>" & vbCrLf & vbCrLf & _ "<method ids>" & vbCrLf & _ method_id_list & vbCrLf & _ "</method ids>" & vbCrLf & vbCrLf & _ "<bom Content>" & vbCrLf & _ bom_Content & vbCrLf & _ "</bom Content>" & vbCrLf & vbCrLf & _ "<Test sample Content>" & vbCrLf & _ Test_sample_Content & vbCrLf & _ "</Test sample Content>" & vbCrLf On Error GoTo errHandler Dim fsT, NEW_FILE_NAME, FILE_PATH As String ORDER_NO_INPUT = InputBox("Please input Compass service ID", "Tranfer : Only transfer Data to empty LIMS order", ORDER_NO_INPUT) If Trim(ORDER_NO_INPUT) = "" Then MsgBox "Cannot send empty request", vbExclamation Exit Sub ElseIf Len(Trim(ORDER_NO_INPUT)) < 8 Then MsgBox "Please inpute 8 digits Quotation no", vbExclamation Exit Sub End If NEW_FILE_NAME = "CREATE_TEST_SAMPLE_GC_VERSION-" & UserName & "-" & Trim(ORDER_NO_INPUT) & "-" & Format(Now, "DD-MM-YYYY_hhmmss") Content_Text = ORDER_NO_INPUT FILE_PATH = "L:\.Greater China\Softlines\10.LIMS\AutoBOM\Autorun Triggering\" & NEW_FILE_NAME & ".txt" 'Create Stream object Set fsT = CreateObject("ADODB.Stream") 'Specify stream type - we want To save text/string data. fsT.Type = 2 'Specify charset For the source text data. fsT.Charset = "utf-8" 'Open the stream And write binary data To the object fsT.Open fsT.WriteText Content 'Save binary data To disk fsT.SaveToFile FILE_PATH, 2 GoTo finish errHandler: MsgBox (Err.Description) Exit Sub finish: MsgBox "Request have been sent, please wait around 1 minute! " Return_file_path = "L:\.Greater China\Softlines\10.LIMS\AutoBOM\Autorun Triggering Feedback file\" & _ NEW_FILE_NAME & ".txt" loop_no = 0 Application.Wait (Now + TimeValue("0:00:05")) Do While (Len(Dir(Return_file_path)) > 0 Or loop_no <= 30) 'strFile = Dir If Len(Dir(Return_file_path)) > 0 Then MsgBox ("SUCCESS") Exit Do End If loop_no = loop_no + 1 If loop_no > 30 Then MsgBox "UNSUCCESS!" Exit Do End If Application.Wait (Now + TimeValue("0:00:05")) Loop 'MsgBox Content End Sub
11-07
<think>我们注意到用户的问题是关于pandas中逻辑运算符`||``&&`的用法。但是,根据引用[1][2][4]的内容,在pandas中我们不能直接使用`||``&&`,而应该使用`|``&`,并且要注意与Python基础语法的区别。在Python中,`and`、`or`、`not`是逻辑运算符,而`&`、`|`、`~`是位运算符。然而,在pandas中,由于需要处理SeriesDataFrame的向量化操作,我们使用`&`、`|`、`~`来实现逻辑与、或、非运算。因此,用户提到的`||``&&`在pandas中并不存在。在pandas中,我们使用:-`&`代替`&&`(逻辑与)-`|`代替`||`(逻辑或)同时,需要注意的是,由于运算符优先级的问题,在使用这些运算符时,每个条件必须用括号括起来。下面我们将详细解释pandas中逻辑运算符的用法注意事项。</think>在 Pandas 中,**`||` `&&` 不是有效的逻辑运算符**。Pandas 使用不同的运算符进行逻辑操作,这是与 Python 基础语法的重要区别。下面详细解释: ### 🔍 Pandas 中的逻辑运算符 | 逻辑操作 | Python 基础语法 | Pandas 正确用法 | 错误用法示例 | |----------|-----------------|-----------------|-------------| | **与(AND)** | `and` | `&` | `df[(df['A'] > 0) and (df['B'] < 10)]` ❌ | | **或(OR)** | `or` | `|` | `df[(df['A'] > 0) or (df['B'] < 10)]` ❌ | | **非(NOT)** | `not` | `~` | `df[not(df['A'] > 0)]` ❌ | ### ✅ 正确使用示例 ```python import pandas as pd # 创建示例 DataFrame data = {'A': [1, 2, 3, 4], 'B': [5, 6, 7, 8]} df = pd.DataFrame(data) # AND 操作: 筛选 A>2 且 B<8 的行 df_filtered = df[(df['A'] > 2) & (df['B'] < 8)] # 正确使用 & """ A B 2 3 7 """ # OR 操作: 筛选 A<=2 或 B>=7 的行 df_filtered = df[(df['A'] <= 2) | (df['B'] >= 7)] # 正确使用 | """ A B 0 1 5 1 2 6 2 3 7 3 4 8 """ # NOT 操作: 筛选 A 不大于 2 的行 df_filtered = df[~(df['A'] > 2)] # 正确使用 ~ """ A B 0 1 5 1 2 6 """ ``` ### ⚠️ 关键注意事项 1. **括号强制优先级** 必须用括号包裹每个条件表达式: ```python # 正确 ✅ (condition1) & (condition2) # 错误 ❌(会引发 TypeError) condition1 & condition2 ``` 2. **运算符优先级差异** `&`/`|` 的优先级高于比较运算符(如 `>`,`==`),不加括号会导致错误: ```python # 错误示例 ❌ df['A'] > 0 & df['B'] < 5 # 实际解析为: df['A'] > (0 & df['B']) < 5 ``` 3. **与 Python 基础语法的区别** | 场景 | Python | Pandas | |------|--------|--------| | 逻辑与 | `and` | `&` | | 逻辑或 | `or` | `|` | | 逻辑非 | `not` | `~` | | 操作对象 | 标量值 | Series/DataFrame | 4. **位运算与逻辑运算** 在基础 Python 中,`&`, `|`, `~` 是位运算符: ```python # Python 位运算示例 print(3 & 2) # 2 (二进制: 11 & 10 = 10) print(3 | 2) # 3 (二进制: 11 | 10 = 11) print(~3) # -4 (按位取反) ``` ### 💡 为什么 Pandas 不使用 `&&` `||`? 1. **向量化运算需求** Pandas 需要对整个 Series/DataFrame 进行批量逻辑运算,而 `&&`/`||` 是 Python 的短路运算符(仅处理标量)。 2. **运算符重载限制** Python 不允许重载 `and`/`or`/`not`,但允许重载 `&`/`|`/`~`[^1][^4]。 3. **性能优化** 使用 `&`/`|` 可利用 NumPy 的底层优化,实现高效的向量化逻辑运算。 ### 🛠️ 替代方法 对于复杂逻辑,可使用 `query()` 方法: ```python # 使用 query 方法 df_filtered = df.query("A > 2 and B < 8") # 注意: 这里用 'and' 但仅在 query 内有效 ```
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