Set pFeatureCompared = pFeatureCursorCompared.NextFeature While Not pFeatureCompared Is Nothing Set pShapeCompared = pFeatureCompared.Shape If pRelOp.Equals(pShapeCompared) And pFeature.Value(fid) <> pFeatureCompared.Value(fid) Then pFeatureCompared.Delete '删除之后,查询可以可以自动调节 End If Se...
sht.Rows(row).Delete() def save(self, newfile=None): if newfile: self.filename = newfile self.workbook.SaveAs(newfile) else: self.workbook.Save() def close(self): self.workbook.Close(SaveChanges = 0) del self.workApp def getCell(self,sheet,row,col): sht = self.workbook.Worksheets...
for id in df_new.index: ## 先删除要新增的数据 delete_sql = f"delete from student where id={id}" print(delete_sql) engine.execute(delete_sql) delete from student where id=0 delete from student where id=1 delete from student where id=2 delete from student where id=3 delete from stud...
import arcpy # Create update cursor for feature class with arcpy.da.UpdateCursor("c:/base/data.gdb/roads", ["roadtype"]) as cursor: # Delete all rows that have a roads type of 4 for row in cursor: if row[0] == 4: cursor.deleteRow() ...
如果这个对象实现了描述符(实现了__get__,__set__,__delete__),那么优先返回__get__方法的返回值...
arcpy.DeleteRows_management("parcels_lyr") #删除上一级选定的行 1. 2. 3. 4. 5. 官方链接 2. 添加字段 try: arcpy.AddField_management(in_table, "field_name", "field_type") except:field_name arcpy.DeleteField_management(in_table, "field_name") ...
今天我将从7个方面详细介绍Hive,包括什么是hive、hive基本用法、hive类型的种类、自定义函数、shell命令运行hive sql 等,喜欢本文记得收藏、关注、点赞。 注:喜欢技术交流、学习的,可以文末获取 一、了解Hive 1、Hive的概念及架构 Hive 是建立在Hadoop上的数据仓库基础构架。它提供了一系列的工具,可以用来进行数据提...
# selecting data for all the weeks having "1" in week name and using 20e5 rows due to the memory limitation of Kaggle notebook. # As only 16 gigs is allowed to use. dataframe = pd.DataFrame() for files in weekly_data: df = pd.read_csv(filepath_or_buffer = "/kaggle/input/nfl-...
vertica://(user):(password)@(host):(port)/(database)?(arg1=val1&arg2=val2&...) The connection string would be parsed byvertica_python.parse_dsn(connection_str), and the parsing result (a dictionary of keywords and values) would be merged withkwargs. If the same keyword is specified...
It’s easy to grab rows by simple indexing because the matrix is stored by rows, but it’s almost as easy to get a column with a list comprehension: >>> col2 = [row[1] for row in M]# Collect the items in column 2 >>> col2 [2, 5, 8] >>> M# The matrix is unchanged ...