A tool for transportation big data
Project description
TransBigData 针对交通时空大数据处理的Python包
TransBigData工具针对时空大数据处理而开发,集成了交通时空大数据处理过程中常用的方法。,例如:
更多细节请查看:
TransBigData的说明文档
安装
pip install -U transbigdata
使用
下面例子展示如何使用TransBigData工具快速地从出租车GPS数据中提取出行OD:
#导入TransBigData包
import transbigdata as tbd
#读取数据
import pandas as pd
data = pd.read_csv('TaxiData-Sample.csv',header = None)
data.columns = ['VehicleNum','time','slon','slat','OpenStatus','Speed']
data
使用transbigdata.taxigps_to_od方法,传入对应的列名,即可提取出行OD:
#从GPS数据提取OD
oddata = tbd.taxigps_to_od(data,col = ['VehicleNum','time','slon','slat','OpenStatus'])
oddata
对提取出的OD进行OD的栅格集计:
#定义研究范围
bounds = [113.6,22.4,114.8,22.9]
#输入研究范围边界bounds与栅格宽度accuracy,获取栅格化参数
params = tbd.grid_params(bounds = bounds,accuracy = 1500)
#栅格化OD并集计
od_gdf = tbd.odagg_grid(oddata,params)
od_gdf.plot(column = 'count')
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