出租车数据的地图展示
2024-06-04 05:56:02
出租车数据的地图展示
实现方法
python数据预处理后将数据导入地图代码。
效果
数据预处理：
f1['dropoff_longitude'].fillna(value=f1['dropoff_longitude'].mean(), inplace=True)
plt.boxplot(f1["dropoff_longitude"])
plt.show()
#超过了上四分位1.5倍四分位距或下四分位1.5倍距离都算异常值，用中位数填充
a = f1["dropoff_longitude"].quantile(0.75)
b = f1["dropoff_longitude"].quantile(0.25)
c = f1["dropoff_longitude"]
c[(c>=(a-b)*1.5+a)|(c<=b-(a-b)*1.5)]=np.nan
c.fillna(c.median(),inplace=True)<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml">
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</head>
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