题解 | #筛选某店铺最有价值用户中消费最多前5名#
筛选某店铺最有价值用户中消费最多前5名
https://www.nowcoder.com/practice/58655010a7c34e9fb2b7b491c3f79ca4
2022.8.16 提交完最后一道Pandas数据分析，有机会重头再做一遍
import pandas as pd
import numpy as np
sales = pd.read_csv("sales.csv")
down = sales.quantile(0.25)
mid = sales.quantile(0.5)
up = sales.quantile(0.75)
sales["R_Quartile"] = np.where(
sales.recency <= down.recency,
4,
np.where(
sales.recency <= mid.recency, 3, np.where(sales.recency <= up.recency, 2, 1)
),
)
sales["F_Quartile"] = np.where(
sales.frequency <= down.frequency,
1,
np.where(
sales.frequency <= mid.frequency,
2,
np.where(sales.frequency <= up.frequency, 3, 4),
),
)
sales["M_Quartile"] = np.where(
sales.monetary <= down.monetary,
1,
np.where(
sales.monetary <= mid.monetary, 2, np.where(sales.monetary <= up.monetary, 3, 4)
),
)
sales["RFMClass"] = (
sales["R_Quartile"].map(str)
+ sales["F_Quartile"].map(str)
+ sales["M_Quartile"].map(str)
)
print(sales.head(5).loc[:, ["user_id", "recency", "frequency", "monetary", "RFMClass"]])
print()
sales.query("RFMClass == '444'").sort_values("monetary", ascending=False).head(5).loc[
:, ["user_id", "recency", "frequency", "monetary", "RFMClass"]
]
投递腾讯等公司8个岗位