def NewtonMethodAclineMonCalcResult_Fun(self, *args):
#点击理论线损
self.driver.find_element_by_id(self.LineLoss_ID).click()
time.sleep(1)
#点击输电网计算结果查询
self.driver.find_element_by_xpath(
self.WholelossCalcResultQuery_Xpath).click()
time.sleep(1)
#点击月报表
self.driver.find_element_by_xpath(self.MonCalcResult_Xpath).click()
time.sleep(1)
#点击导线损耗表
self.driver.find_element_by_xpath(self.AclineLossResult_Xpath).click()
time.sleep(5)
#切换到报表的frame
self.driver.switch_to_frame(self.AclineLossResultIframe_ID)
#点击查询
self.driver.find_element_by_id(self.Query_ID).click()
time.sleep(5)
#点击导出
self.driver.find_element_by_id(self.Export_ID).click()
time.sleep(5)
self.data_file = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\导线损耗月报表.xls'
self.sheetname = u'导线损耗月报表'
self.Excel = ExcelData(self.data_file, self.sheetname)
self.Excel_Data = self.Excel.readExcel()
#print self.Excel_Data
return self.Excel_Data
def DistrictEleQuamonWirecalcResult_Fun(self):
# 点击理论线损计算
self.driver.find_element_by_id(self.TheoreticalLineLoss_ID).click()
time.sleep(2)
# 点击配电线路计算结果查询
self.driver.find_element_by_xpath(self.TheoreticalLineLossManualcal_Xpath).click()
time.sleep(2)
# 点击月报表
self.driver.find_element_by_xpath(self.DistributionLineMonthlyReport_Xpath).click()
time.sleep(2)
# 点击台区线路线损表
self.driver.find_element_by_xpath(self.LinelosswireofDistrict_Xpath).click()
time.sleep(2)
#切换到结果frame
self.driver.switch_to_frame(self.TheoreticalwireResult_frame)
time.sleep(5)
self.driver.implicitly_wait(30)
##点击电表损耗链接
self.driver.find_element_by_xpath(self.Transformerwire_Xpath).click()
time.sleep(5)
self.driver.switch_to.parent_frame()
## 跳出当前iframe
self.driver.implicitly_wait(10)
##切换到变压器损耗明细结果frame
self.driver.switch_to_frame(self.DistrictCalcResult_frame)
self.driver.implicitly_wait(30)
# 导出按钮id
self.driver.find_element_by_id(self.export_id).click()
time.sleep(10)
self.data_path = u'C:\\Users\\'+GetUsername()+u'\\Downloads\\低压台区导线损耗报表（月）.xls'
self.sheetname = u'低压台区导线损耗报表（月）'
self.Excel = ExcelData(self.data_path, self.sheetname)
self.ExcelDataa = self.Excel.readExcel()
return self.ExcelDataa
def DistributionlineVoluMonthCalcResult_Fun(self):
# 点击理论线损树
time.sleep(1)
self.driver.find_element_by_id(
self.DistributionlineLossTree_id).click()
# 点击配电网计算结果查询
time.sleep(1)
self.driver.find_element_by_xpath(
self.TheoreticalLineLossCalResult_Xpath).click()
time.sleep(1)
# 点击月报表
self.driver.find_element_by_xpath(
self.DistributionLineMonthlyReport_Xpath).click()
time.sleep(1)
# 点击配电线路线损表
self.driver.find_element_by_xpath(
self.LinelossmeterDistributionline_Xpath).click()
time.sleep(1)
# 切换frame到配电线路线损表frame
self.driver.switch_to.frame(self.DistributionLineCalcResult_frame)
time.sleep(1)
# 点击左下方的导出按钮
self.driver.find_element_by_id(self.Export_id).click()
time.sleep(10)
#读取导出文件execl内容，生成列表返回
self.ExportExecl = ExcelData(
u"C:\\Users\\" + GetUsername() + u"\\Downloads\\配电线路损耗报表（月）.xls",
u"配电线路损耗报表（月）")
return self.ExportExecl.readExcel()
def DistributionlineEleQuamoncalcResult_Fun(self):
'''620kv月电量法计算结果验证'''
#点击理论线损
self.driver.find_element_by_id(self.TheoreticalLineLoss_ID).click()
time.sleep(2)
#点击配电线路计算结果查询xpath
self.driver.find_element_by_xpath(
self.TheoreticalLineLossManualcal_Xpath).click()
time.sleep(2)
#点击配线月报表
self.driver.find_element_by_xpath(
self.DistributionLineMonthlyReport_Xpath).click()
time.sleep(2)
#点击配电线路线损表
self.driver.find_element_by_xpath(
self.Linelossmeterofdistributionline_Xpath).click()
time.sleep(2)
#切换到结果frame
self.driver.switch_to_frame(self.DistributionLineCalcResult_frame)
self.driver.implicitly_wait(30)
#点击导出按钮
self.driver.find_element_by_id(self.Daochu_id).click()
time.sleep(10)
self.data_path = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\配电线路损耗报表（月）.xls'
self.sheetname = u'配电线路损耗报表（月）'
self.Excel = ExcelData(self.data_path, self.sheetname)
self.ExcelDataa = self.Excel.readExcel()
#return json.dumps(self.ExcelDataa, encoding="UTF-8", ensure_ascii=False)
return self.ExcelDataa
'''for i in range(self.BeginNum,self.EndNum):
def DistrictEleQuamoncalcResult_Fun(self):
'''400V月电量法计算结果验证'''
#点击理论线损
self.driver.find_element_by_id(self.TheoreticalLineLoss_ID).click()
time.sleep(2)
#点击配电线路计算结果查询xpath
self.driver.find_element_by_xpath(
self.TheoreticalLineLossManualcal_Xpath).click()
time.sleep(2)
#点击配线月报表
self.driver.find_element_by_xpath(
self.DistributionLineMonthlyReport_Xpath).click()
time.sleep(2)
#点击台区线路线损表
self.driver.find_element_by_xpath(
self.LinelossmeterofDistrict_Xpath).click()
time.sleep(2)
#切换到结果frame
self.driver.switch_to_frame(self.DistrictCalcResult_frame)
#self.driver.implicitly_wait(30)
time.sleep(4)
# a=self.driver.find_element_by_id(self.export_id).text
# print a
#点击导出按钮
self.driver.find_element_by_id(self.export_id).click()
time.sleep(5)
self.data_path = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\低压台区损耗表报表（月）.xls'
self.sheetname = u'低压台区损耗表报表（月）'
self.Excel = ExcelData(self.data_path, self.sheetname)
self.ExcelDataa = self.Excel.readExcel()
#return json.dumps(self.ExcelDataa, encoding="UTF-8", ensure_ascii=False)
return self.ExcelDataa
def NewtonMethodWholelossDayVoltCalcResult_Fun(self, *args):
#点击理论线损
self.driver.find_element_by_id(self.LineLoss_ID).click()
time.sleep(1)
#点击输电网计算结果查询
self.driver.find_element_by_xpath(
self.WholelossCalcResultQuery_Xpath).click()
time.sleep(1)
#点击日报表
self.driver.find_element_by_xpath(self.DayCalcResult_Xpath).click()
time.sleep(1)
#点击输电网分压线损表
self.driver.find_element_by_xpath(
self.WholelossDayVoltCalcResult_Xpath).click()
time.sleep(5)
#切换到报表的frame
self.driver.switch_to_frame(self.WholelossDayVoltCalcResultIframe_ID)
#点击导出
self.driver.find_element_by_id(self.Export_ID).click()
time.sleep(5)
self.data_file = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\全网分电压损耗报表（日）.xls'
self.sheetname = u'全网分电压损耗报表（日）'
self.Excel = ExcelData(self.data_file, self.sheetname)
self.Excel_Data = self.Excel.readExcel()
#print self.Excel_Data
return self.Excel_Data
def NewtonMethodWholeLossAnalysisDayTrans_Fun(self,*args):
#点击线损分析
self.driver.find_element_by_id(self.LineLossAnalysis_ID).click()
time.sleep(1)
#点击输电网结果分析
self.driver.find_element_by_xpath(self.WholeLossResultAnalysis_xpath).click()
time.sleep(1)
#点击日分析
self.driver.find_element_by_xpath(self.MonAnalysis_xpath).click()
time.sleep(1)
#点击输电网综合分析
self.driver.find_element_by_xpath(self.WholeLossAnalysis_xpath).click()
time.sleep(5)
#切换到报表的frame
self.driver.switch_to_frame(self.WholelossAnalysisIframe_ID)
#点击查询
self.driver.find_element_by_id(self.Query_ID).click()
time.sleep(5)
#点击导线追溯链接
self.driver.find_element_by_xpath(self.Trans_xpath).click()
time.sleep(5)
self.driver.switch_to.parent_frame()
#切换Iframe
self.driver.switch_to_frame(self.TransIframe_ID)
#点击导出
self.driver.find_element_by_id(self.Export_ID).click()
time.sleep(5)
self.data_file=u'C:\\Users\\'+GetUsername()+ u'\\Downloads\\输电网高损变压器分析（日）.xls'
self.sheetname=u'输电网高损变压器分析（日）'
self.Excel=ExcelData(self.data_file,self.sheetname)
self.Excel_Data=self.Excel.readExcel()
#print self.Excel_Data
return self.Excel_Data
def NewtonMethodTransAnalysisMonRetrospect_Fun(self,*args):
#点击线损分析
self.driver.find_element_by_id(self.LineLossAnalysis_ID).click()
time.sleep(1)
#点击输电网结果分析
self.driver.find_element_by_xpath(self.WholeLossResultAnalysis_xpath).click()
time.sleep(1)
#点击月分析
self.driver.find_element_by_xpath(self.MonAnalysis_xpath).click()
time.sleep(1)
#点击变压器经济运行分析
self.driver.find_element_by_xpath(self.TransAnalysis_xpath).click()
time.sleep(5)
#切换到报表的frame
self.driver.switch_to_frame(self.TransAnalysisIframe_ID)
time.sleep(1)
#激活月份选择框
self.driver.find_element_by_id(self.Month_ID).click()
time.sleep(1)
#选择2015
self.driver.find_element_by_xpath(self.Year_xpath).click()
time.sleep(1)
#选择八月
self.driver.find_element_by_xpath(self.Month_xpath).click()
time.sleep(1)
#点击确定
self.driver.find_element_by_id(self.ConfirmButton_ID).click()
time.sleep(1)
#点击查询
self.driver.find_element_by_id(self.Query_ID).click()
time.sleep(5)
#点击重载变追溯链接
self.driver.find_element_by_xpath(self.TransRetrospect_xpath).click()
time.sleep(5)
self.driver.switch_to.parent_frame()
#切换Iframe
self.driver.switch_to_frame(self.TransRetrospect_Iframe)
#点击导出
self.driver.find_element_by_id(self.Export_ID).click()
time.sleep(5)
self.data_file=u'C:\\Users\\'+GetUsername()+ u'\\Downloads\\输电网变压器损耗明细（月）-重载变.xls'
self.sheetname=u'输电网变压器损耗明细（月）-重载变'
self.Excel=ExcelData(self.data_file,self.sheetname)
self.Excel_Data=self.Excel.readExcel()
#print self.Excel_Data
return self.Excel_Data
def TranotherlosshourCalcResult_Fun(self):
#进入理论线损模块
self.driver.find_element_by_id(self.TheoreticalLineLoss_ID).click()
time.sleep(2)
#进入输电网计算结果查询
self.driver.find_element_by_xpath(
self.TranotherlossManualcal_Xpath).click()
time.sleep(2)
#进入整点报表
self.driver.find_element_by_xpath(
self.TranotherlosshourReport_Xpath).click()
time.sleep(2)
#进入其他损耗表
self.driver.find_element_by_xpath(
self.TranotherlosshourCalcResult_Xpath).click()
time.sleep(5)
#进入查询frame框
self.driver.switch_to_frame(self.TranotherlosshourCalcResult_frame)
time.sleep(3)
#打开日期控件
self.driver.find_element_by_id(self.Day_box_xpath).click()
time.sleep(2)
#选择20140801
self.driver.find_element_by_xpath(self.DayResult_xpath).click()
time.sleep(2)
#选择零点
self.driver.find_element_by_id(self.ZeroHour_ID).clear()
time.sleep(2)
self.driver.find_element_by_id(self.ZeroHour_ID).send_keys('0')
time.sleep(2)
#点击日期控件确定
self.driver.find_element_by_id(self.DayQueding_id).click()
time.sleep(2)
#点击查询
self.driver.find_element_by_id(self.Chaxun_id).click()
time.sleep(3)
#点击导出
self.driver.find_element_by_id(self.Daochu_id).click()
time.sleep(10)
self.data_file = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\输电网其他损耗报表（小时）.xls'
self.sheetname = u'输电网其他损耗报表（小时）'
self.Excel = ExcelData(self.data_file, self.sheetname)
self.Excel_Data = self.Excel.readExcel()
#print self.Excel_Data
return self.Excel_Data
def NewtonMethodLosspartVoltHourCalcResult_Fun(self, *args):
#点击理论线损
self.driver.find_element_by_id(self.LineLoss_ID).click()
time.sleep(1)
#点击输电网计算结果查询
self.driver.find_element_by_xpath(
self.WholelossCalcResultQuery_Xpath).click()
time.sleep(1)
#点击整点报表
self.driver.find_element_by_xpath(self.HourCalcResult_Xpath).click()
time.sleep(1)
#点击分片分压线损表
self.driver.find_element_by_xpath(
self.LossPartVoltResult_Xpath).click()
time.sleep(5)
#切换到报表的frame
self.driver.switch_to_frame(self.LossPartVoltResultIframe_ID)
#选择开始时间
self.driver.find_element_by_xpath(self.StartTimeWindow_xpath).click()
time.sleep(0.2)
self.driver.find_element_by_xpath(self.StartTimeDate_xpath).click()
time.sleep(0.2)
for i in range(0, 23):
self.driver.find_element_by_id(self.StartTimeAdjust_ID).click()
i = i + 1
time.sleep(0.1)
time.sleep(0.2)
self.driver.find_element_by_xpath(self.StartTimeButton_xpath).click()
#点击查询
self.driver.find_element_by_id(self.Query_ID).click()
time.sleep(5)
#点击导出
self.driver.find_element_by_id(self.Export_ID).click()
time.sleep(5)
self.data_file = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\全网分片分压线损报表（小时）.xls'
self.sheetname = u'全网分片分压线损报表（小时）'
self.Excel = ExcelData(self.data_file, self.sheetname)
self.Excel_Data = self.Excel.readExcel()
#print self.Excel_Data
return self.Excel_Data
def DistAclinesegeEleQuaMonCalResult_Fun(self):
'''导线损耗表链接页面结果验证'''
#点击理论线损计算
self.driver.find_element_by_id(self.TheoreticalLineLoss_ID).click()
time.sleep(2)
#点击配电线路计算结果查询
self.driver.find_element_by_xpath(
self.TheoreticalLineLossManualcalResult_Xpath).click()
time.sleep(2)
#点击月报表
self.driver.find_element_by_xpath(
self.TheoreticalLineloss620kVMonth_Xpath).click()
time.sleep(2)
#点击配电线路线损表
self.driver.find_element_by_xpath(self.WiringReport_Xpath).click()
time.sleep(2)
###切换到结果frame
self.driver.switch_to_frame(self.TheoreticalLinelossResult_frame)
time.sleep(2)
self.driver.implicitly_wait(30)
##点击导线损耗链接
self.driver.find_element_by_xpath(self.WireLosslj_Xpath).click()
time.sleep(3)
self.driver.switch_to.parent_frame() ## 跳出当前iframe
self.driver.implicitly_wait(10)
##切换到导线结果frame
self.driver.switch_to_frame(self.WireCalculateResult_frame)
self.driver.implicitly_wait(30)
#导出按钮id
self.driver.find_element_by_id(self.Daochu_ID).click()
time.sleep(10)
self.data_path = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\配电线路导线损耗报表（月）.xls'
self.sheetname = u'配电线路导线损耗报表（月）'
self.Excel = ExcelData(self.data_path, self.sheetname)
self.ExcelDataa = self.Excel.readExcel()
return self.ExcelDataa
def DistributionlineVoluDayCalcTransLoss_Fun(self):
# 点击理论线损树
time.sleep(1)
self.driver.find_element_by_id(
self.DistributionlineLossTree_id).click()
# 点击配电网计算结果查询
time.sleep(1)
self.driver.find_element_by_xpath(
self.TheoreticalLineLossCalResult_Xpath).click()
time.sleep(1)
# 点击月报表
self.driver.find_element_by_xpath(
self.DistributionLineDaylyReport_Xpath).click()
time.sleep(1)
# 点击配电线路线损表
self.driver.find_element_by_xpath(
self.LinelossmeterDistributionline_Xpath).click()
time.sleep(1)
# 切换frame到配电线路线损表frame
self.driver.switch_to.frame(self.DistributionLineCalcResult_frame)
self.driver.implicitly_wait(30)
#点击变压器损耗的连接
self.driver.find_element_by_xpath(self.TransLossLink_Path).click()
time.sleep(1)
#切换到变压器损耗的frame中
self.driver.switch_to.parent_frame()
time.sleep(1)
self.driver.switch_to.frame(self.TransLossFrame_id)
time.sleep(1)
# 点击左下方的导出按钮
self.driver.find_element_by_id(self.Export_id).click()
time.sleep(10)
#读取导出文件execl内容，生成列表返回
self.ExportExecl = ExcelData(
u"C:\\Users\\" + GetUsername() + u"\\Downloads\\配电变压器损耗表报表（日）.xls",
u"配电变压器损耗表报表（日）")
return self.ExportExecl.readExcel()
def DistTransformerEleQuaDayCalResult_Fun(self):
'''配电日电量法变压器损耗表链接页面结果验证'''
#点击理论线损计算
self.driver.find_element_by_id(self.TheoreticalLineLoss_ID).click()
time.sleep(2)
#点击配电线路计算结果查询
self.driver.find_element_by_xpath(
self.TheoreticalLineLossManualcalResult_Xpath).click()
time.sleep(2)
#点击月报表
self.driver.find_element_by_xpath(
self.TheoreticalLineloss620kVMonth_Xpath).click()
time.sleep(2)
#点击配电线路线损表
self.driver.find_element_by_xpath(self.WiringReport_Xpath).click()
time.sleep(2)
###切换到结果frame
self.driver.switch_to_frame(self.TheoreticalLinelossResult_frame)
time.sleep(2)
self.driver.implicitly_wait(30)
##点击变压器损耗链接
self.driver.find_element_by_xpath(self.Transformerlosslj_Xpath).click()
time.sleep(3)
self.driver.switch_to.parent_frame() ## 跳出当前iframe
self.driver.implicitly_wait(10)
##切换到变压器损耗明细结果frame
self.driver.switch_to_frame(self.TransformerlossCalcResult_frame)
self.driver.implicitly_wait(30)
#导出按钮id
self.driver.find_element_by_id(self.Daochu_ID).click()
time.sleep(10)
self.data_path = u"C:\\Users\\" + GetUsername(
) + u"\\Downloads\\配电变压器损耗表报表（日）.xls"
self.sheetname = u'配电变压器损耗表报表（日）'
self.Excel = ExcelData(self.data_path, self.sheetname)
self.ExcelDataa = self.Excel.readExcel()
return self.ExcelDataa
import pandas as pd
import operator
import numpy
from pandas import Series,DataFrame
class ExcelData:
def __init__(self,data_path):
self.data_path=data_path
def readExcel(self):
book = xlrd.open_workbook(self.data_path,encoding_override='gbk')
L=[]
for sheet in book.sheets():
df = pd.read_excel(self.data_path,sheet.name,index_col = None,na_values= ['9999'])
#df = pd.read_excel(self.data_path,sheet.name,index_col = 0)
pd.set_option('display.width',None)
#pd.set_option('expand_frame_repr',False)
df1=df.head()
df2 = numpy.array(df1).tolist()
L.append(df2)
return L
if __name__=='__main__':
data_path=u'C:\\Users\\'+GetUsername()+u'\\Downloads\\低压台区综合分析报表(月).xls'
get_data=ExcelData(data_path)
print(get_data.readExcel())
data_path1 = u'C:\\Users\\'+GetUsername()+u'\\Downloads\\低压台区综合分析报表(月) (1).xls'
get_data1 = ExcelData(data_path1)
print(get_data1.readExcel())
result = operator.eq(get_data,get_data1)
print(result)
可以通过'Image.open(path)'进行创建。
'size' 重新将 image 对象的尺寸进行重置，默认大小为256 * 256 .
'part_size' 定义了分割图片的大小.默认大小为64*64 .
返回值是 'image1' 和 'image2'对比后的相似度，相似度越高，图片越接近，达到100.0说明图片完全相同。
'''
img1 = image1.resize(size).convert("RGB")
sub_image1 = split_image(img1, part_size)
img2 = image2.resize(size).convert("RGB")
sub_image2 = split_image(img2, part_size)
sub_data = 0
for im1, im2 in zip(sub_image1, sub_image2):
sub_data += calculate(im1, im2)
x = size[0] / part_size[0]
y = size[1] / part_size[1]
pre = round((sub_data / (x * y)), 6)
print(pre * 100)
return pre * 100
if __name__ == '__main__':
data_path = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\低压台区综合分析历史数据图表(月).png'
data_path1 = u'C:\\Users\\' + GetUsername(
) + u'\\Downloads\\低压台区综合分析历史数据图表(月) 1.png'
image1 = Image.open(data_path)
image2 = Image.open(data_path1)
classfiy_histogram_with_split(image1, image2)