Im 从事ArcGIS项目,该表载有时间数据,相关领域包括:
目的是计算第四点,汇总所有年份的每轮计算法可征税的属性销售数据。 E.g. 如果同一手提代码各有10个不同年份,我想将销售单元中所有10个单位归为所有10个。
I tried to see if I could use the field calculator function, but was not familiar enough to work out how to calculate for what I needed.
我的另一种选择是把他们从Excel的ArcGIS Pro外传。
You could use the tools Summary Statistics, Add Join and Remove Join.
Summary Statistics to calculate the cumulative annual sale
Summary Statistics using the field Zipcode
使用<条码>计算外地至<条码>
Remove the join by using Remove Join
下面是该模式的简介:
Alternatively, you could use Python and a Spatially enabled DataFrame:
import pandas as pd
from arcgis.features import GeoAccessor, GeoSeriesAccessor
table = r"Default.gdbSales"
# load table
sdf = pd.DataFrame.spatial.from_table(filename=table, skip_nulls=False)
# calulate the total sales by zip code
total_sales_by_zipcode = sdf.groupby(["Zipcode"])["Sales_Annual"].sum()
sdf["Sales_Cumulative"] = sdf["Zipcode"].apply(lambda x: total_sales_by_zipcode[x])
sdf.spatial.to_table(location=table, overwrite=True)
注:
sdf.spatial.to_table, all field names are suddenly lower case.skip_nulls when reading the table, otherwise no data is read due to a "bug". See here.Example: [AttributeUsage(AttributeTargets.Class)] public class MyAttribute : Attribute { public MyAttribute() { Console.WriteLine("I was defined on the {0} class", ????); } } [MyAttribute] ...
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