def strftime(self, fmt): "Format using strftime()." return _wrap_strftime(self, fmt, self.timetuple())

这是一个 Python 中的 datetime 模块中的方法 strftime 的定义。它接收一个格式字符串 fmt 作为参数，根据这个格式字符串将日期时间对象转换成字符串并返回。这个方法的具体实现是调用了 _wrap_strftime 函数，该函数使用传入的 timetuple() 方法将日期时间对象转换成时间元组，然后再调用 C 库函数 strftime 将时间元组格式化成字符串。

相关问题

把这段代码转化为python代码（package service import ( "encoding/json" "errors" "fmt" "gin-syudy/api/device/req" "gin-syudy/define" "gin-syudy/models" "gin-syudy/mqtt" "gin-syudy/tools/resp" "gin-syudy/utils" mq "github.com/eclipse/paho.mqtt.golang" "github.com/gin-gonic/gin" "log" "net/http" "strconv" "time" ) // DeviceController 控制设备 // @BasePath /api/v1 // @Description 启动对应设备 // @Tags 启动设备 // @param identity query string false "Identity" // @param controllerId query string false "controllerId" // @param controlState query string false "controlState" // @Success 200 {object} resp.Response "{"code":200,"data":[...]}" // @Failure 502 {object} resp.Response "{"code":502,"data":[...]}" // @Router /api/v1/device/start [Post] func DeviceController(c *gin.Context) { device := new(models.DeviceBasic) write := new(mqtt.Write) device.Identity = c.Query("identity") id, _ := strconv.Atoi(c.Query("controllerId")) fmt.Println(id) state, _ := strconv.Atoi(c.Query("controllerState")) fmt.Println(state) write.Id = uint32(id) write.State = uint32(state) if device.Identity == "" { resp.RespFail(c, http.StatusBadGateway, errors.New("必填参数为空"), resp.FoundFail) return } deviceBasic := device.GetTopicByIdentity() subTopic := "Device/" + deviceBasic.ItemName + "/" + deviceBasic.BridgeName + "/control" + deviceBasic.Secret fmt.Println(subTopic) sendTopic := "Host/" + deviceBasic.ItemName + "/" + deviceBasic.BridgeName + "/control" + deviceBasic.Secret fmt.Println(sendTopic) dataChan := make(chan *mqtt.StartDataResp, 1) mqtt.SubscribeMessage(subTopic, func(client mq.Client, message mq.Message) { fmt.Printf("MESSAGE : %s\n", message.Payload()) fmt.Printf("TOPIC : %s\n", message.Topic()) subscribeStartData := new(mqtt.StartDataResp) err := json.Unmarshal(message.Payload(), &subscribeStartData) if err != nil { resp.RespFail(c, http.StatusBadGateway, err, "回调函数格式不正确") return } dataChan <- subscribeStartData }) startData := new(mqtt.StartData) startData.SampTime = time.Now().String() startData.CommandID = utils.GetUUid() startData.Write = write data, _ := json.Marshal(startData) err := mqtt.SendMessage(sendTopic, data) if err != nil { resp.RespFail(c, http.StatusBadGateway, err, resp.FoundFail) return } responseMessage := <-dataChan err, _ = mqtt.Unsubscribe(sendTopic) if err != nil { resp.RespFail(c, http.StatusBadGateway, err, "取消订阅失败") return } resp.RespOK(c, responseMessage, "控制成功") }）

以下是将给定的 Go 代码翻译为 Python 的代码：

import json
import logging
import time
from http import HTTPStatus

import paho.mqtt.client as mqtt
from flask import jsonify, request

from service.models import DeviceBasic
from service.mqtt import SendMessage, SubscribeMessage, Unsubscribe
from service.tools.resp import RespFail, RespOK
from service.utils import GetUUid

# DeviceController
# 控制设备
# @BasePath /api/v1
# @Description 启动对应设备
# @Tags 启动设备
# @param identity query string false "Identity"
# @param controllerId query string false "controllerId"
# @param controlState query string false "controlState"
# @Success 200 {object} resp.Response "{"code":200,"data":[...]}"
# @Failure 502 {object} resp.Response "{"code":502,"data":[...]}"
# @Router /api/v1/device/start [Post]
def DeviceController():
    device = DeviceBasic()
    device.identity = request.args.get('identity', '')
    id = int(request.args.get('controllerId', 0))
    logging.debug(f"id: {id}")
    state = int(request.args.get('controllerState', 0))
    logging.debug(f"state: {state}")

    write = Write()
    write.id = id
    write.state = state

    if not device.identity:
        RespFail(HTTPStatus.BAD_GATEWAY, errors=["必填参数为空"])
        return

    deviceBasic = device.GetTopicByIdentity()
    subTopic = f"Device/{deviceBasic.ItemName}/{deviceBasic.BridgeName}/control{deviceBasic.Secret}"
    logging.debug(f"subTopic: {subTopic}")
    sendTopic = f"Host/{deviceBasic.ItemName}/{deviceBasic.BridgeName}/control{deviceBasic.Secret}"
    logging.debug(f"sendTopic: {sendTopic}")

    dataChan = []
    def on_message(client, userdata, message):
        logging.debug(f"MESSAGE : {message.payload}")
        logging.debug(f"TOPIC : {message.topic}")
        subscribeStartData = mqtt.StartDataResp()
        try:
            subscribeStartData = json.loads(message.payload)
        except json.JSONDecodeError as e:
            RespFail(HTTPStatus.BAD_GATEWAY, errors=[f"回调函数格式不正确: {str(e)}"])
            return
        dataChan.append(subscribeStartData)

    mqtt.SubscribeMessage(subTopic, on_message)

    startData = mqtt.StartData()
    startData.SampTime = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
    startData.CommandID = GetUUid()
    startData.Write = write
    data = json.dumps(startData, default=lambda obj: obj.__dict__, ensure_ascii=False)
    err = SendMessage(sendTopic, data.encode())
    if err:
        RespFail(HTTPStatus.BAD_GATEWAY, errors=[err])
        return

    responseMessage = dataChan[0]
    err = Unsubscribe(sendTopic)
    if err:
        RespFail(HTTPStatus.BAD_GATEWAY, errors=[f"取消订阅失败: {err}"])
        return

    RespOK(responseMessage, message="控制成功")

xlwings 读取时读入了公式,但单元格格式未读入，此时需要将Range.number_format一起转换为pandas dataframe，代码示例

要将 xlwings 的 `Range` 对象转换为 Pandas DataFrame，您可以使用 `Range.options(pd.DataFrame)` 方法。以下是一个示例代码，演示如何将 Excel 文件中的数据和格式读取到 Pandas DataFrame 中：

import xlwings as xw
import pandas as pd

# 打开 Excel 文件
wb = xw.Book('example.xlsx')

# 选择第一个工作表
ws = wb.sheets[0]

# 读取单元格数据和格式
data_range = ws.range('A1:B5')
df = data_range.options(pd.DataFrame, index=False, header=True).value
formats = data_range.number_format

# 将格式应用于 DataFrame
for col, fmt in zip(df.columns, formats):
    df[col] = df[col].apply(lambda x: x.strftime(fmt) if isinstance(x, pd.Timestamp) else x)

# 关闭 Excel 文件
wb.close()

在上面的代码中，`data_range` 是 `A1:B5` 单元格范围的 xlwings `Range` 对象。`df` 是将 `data_range` 转换为 Pandas DataFrame 的结果。`formats` 是 `data_range` 中每个单元格的格式。

然后，我们遍历 DataFrame 的每一列和每个单元格的格式，并使用 Pandas 的 `strftime()` 方法将日期格式化为字符串。最后，我们关闭 Excel 文件。

请注意，如果您的 Excel 文件中包含日期和时间数据，您可能需要使用 `pandas.to_datetime()` 函数将其转换为 Pandas 的日期时间类型。例如：

df['Date'] = pd.to_datetime(df['Date'], format='%Y-%m-%d')

这将将名为 `Date` 的列转换为 Pandas 的日期时间类型，其中日期格式为 `YYYY-MM-DD`。