删除重复项并排除特定列并取最低值

Question

我有这个示例数据集

CPU_Sub_Series  RAM     Screen_Size   Resolution   Price
Intel i5         8      15.6          1920x1080    699
Intel i5         8      15.6          1920x1080    569
Intel i5         8      15.6          1920x1080    789
Ryzen 5          16     16.0          2560x1600    999
Ryzen 5          32     16.0          2560x1600    1299

我只想检查并删除重复数据，价格列除外，然后保留价格列中的最低值。
所以，输出列是这样的：

CPU_Sub_Series  RAM     Screen_Size   Resolution   Price
Intel i5         8      15.6          1920x1080    569
Ryzen 5          16     16.0          2560x1600    999
Ryzen 5          32     16.0          2560x1600    1299

我应该先按价格排序吗？然后呢？
df.sort_values('Price') ？然后呢？

Answer 1

df.groupby(["CPU_Sub_Series","RAM","Screen_Size","Resolution"], as_index=False).min()

Answer 2

除了@Daniele Bianco 的回答，你还可以得到这样的结果（几乎类似的方法，但形式略有不同）：

import pandas as pd

df = pd.DataFrame({
    'CPU_Sub_Series': ['Intel i5', 'Intel i5', 'Intel i5', 'Ryzen 5', 'Ryzen 5'],
    'RAM': [8, 8, 8, 16, 32],
    'Screen_Size': [15.6, 15.6, 15.6, 16.0, 16.0],
    'Resolution': ['1920x1080', '1920x1080', '1920x1080', '2560x1600', '2560x1600'],
    'Price': [699, 569, 789, 999, 1299]
})

df = df.groupby(["CPU_Sub_Series", "RAM", "Screen_Size", "Resolution"])['Price'].min().reset_index()
print(df)
#  CPU_Sub_Series  RAM  Screen_Size Resolution  Price
#0       Intel i5    8         15.6  1920x1080    569
#1        Ryzen 5   16         16.0  2560x1600    999
#2        Ryzen 5   32         16.0  2560x1600   1299

删除重复项并排除特定列并取最低值

drop duplicates and exclude specific columns and take the lowest value

python

duplicates

pandas