如果列表中的 0 值相同，有没有办法组合列表的第一个索引？

Question

import csv
import pandas as pd
from matplotlib import pyplot as plt

# Declaring workout data to df variable
df = pd.read_csv('workout.csv')

# Declaring name variable and storing name data into it
name = df['name']

# Calculating the mass moved
moved_mass_data = df['sets'] * df['reps'] * df['weight']

# storing mass moved data into the df data frame
df['mass moved'] = moved_mass_data

# turning moved mass data frame into a list
moved_mass = moved_mass_data.to_list()

# turning exercise name data frame into a list
exercise_name = name.to_list()

# zip names and mass moved together
exercise_moved_mass = zip(exercise_name, moved_mass)

# converting the zip into a list
exercise_moved_mass_list = list(exercise_moved_mass)

---

# exercise_moved_mass_list prints
[('Facepull', 480), ('Lat Pull Down', 600), ('Dumbbell Bench', 720), ('Dumbbell Bench', 1200), ('Dumbbell Bench', 2880), ('Dips', 3780), ('Incline Fly', 720), ('Incline Fly', 800), ('Incline Fly', 1200), ('Incline Fly', 800)]

#How could I make a function that would turn list to this
[('Facepull', 480), ('Lat Pull Down', 600), ('Dumbbell Bench', 4,800), ('Dips',3780), ('Incline Fly', 2800)]

Answer 1

In the expected output the Incline Fly should be ('Incline Fly',3520), if yes,

This code should work->

b = {}
for i in exercise_moved_mass_list:
  try:
    b[i[0]]+=i[1]
  except:
    b[i[0]]=i[1]

c = [(x, y) for x, y in b.items()]

Output:

[('Facepull', 480),
 ('Lat Pull Down', 600),
 ('Dumbbell Bench', 4800),
 ('Dips', 3780),
 ('Incline Fly', 3520)]

Answer 2

Another method using your dataframe df :

>>> df[["name", "mass moved"]].groupby("name").sum().to_records().tolist()

[('Dips', 3780),
 ('Dumbbell Bench', 4800),
 ('Facepull', 480),
 ('Incline Fly', 3520),
 ('Lat Pull Down', 600)]