Question

我已经实现了以下代码（Pandas）来绘制每个不同类别的地图 - 有没有办法提高此代码的性能？处理100K记录需要花费大量时间。

vehicleList = a2.vehicleId.unique()
timeList = a2.time.unique()
dayList = a2.day.unique()
seasonList = a2.season.unique()

for vehicle in vehicleList:
    for day in dayList:
        for time in timeList:
            for season in seasonList:
                tempDf = a2[(a2["vehicleId"] == vehicle)  & (a2["day"] == day) & (a2["time"] == time) & (a2["season"] == season)]
                if not tempDf.empty:
                    # # Plot Chart

Answer 1

如果没有您的具体数据，很难了解时间，但您的代码相当于此代码，至少看起来更简单：

a2.groupby([vehicleList, timeLis, dayList, seasonList]).apply(lambda g: g.plot())

数据框分割和绘图

1 个答案: