Total bytes for each IPs in the dataset using pandas-CodePudding

df.value_counts(subset='DstAddr', ascending=False)

df.head()

I am trying to find a way to show for each unique IP: How many in the sum of total bytes does it have? For example, if I want to find all dataset:

df['TotBytes'].sum()

But I want to find for each destination unique IP to see how much KB it is used for that IP.

CodePudding user response：

You can use df.groupby("DstAddr") to work with groups - something like

df.groupby("DstAddr")['TotBytes'].sum()

or using loop

for key, val in df.groupby("DstAddr"): 
    print(key, val['TotBytes'].sum() )

Minimal working example

import pandas as pd

data = {
    'A': ['1.0.0.0','2.0.0.0','3.0.0.0', '2.0.0.0',], 
    'B': [4,5,6,7], 
    'C': [7,8,9,0]
}

df = pd.DataFrame(data)
print(df)

print(df.groupby('A')['B'].sum())

for key, val in df.groupby('A'):
    print('---', key, '---')
    print(val['B'].sum())

Result:

         A  B  C
0  1.0.0.0  4  7
1  2.0.0.0  5  8
2  3.0.0.0  6  9
3  2.0.0.0  7  0

A
1.0.0.0     4
2.0.0.0    12
3.0.0.0     6
Name: B, dtype: int64

--- 1.0.0.0 ---
4
--- 2.0.0.0 ---
12
--- 3.0.0.0 ---
6