使用字典查找列表列表的最大值和最小值

Question

I'm trying to find the maximum and minimum value within a list of lists. To elaborate, I have this variable which stores tweets:

lines = [['ladybug7501',
  'RT SamaritansPurse: You can help the many across #PuertoRico who remain in desperate need after #HurricaneMaria. See how here: …',
  'Negative',
  -1],
 ['DyEliana',
  'RT daddy_yankee: La madre naturaleza está azotando con potencia a sus hijos. Mi corazón y mis oraciones con mi tierra #PuertoRico y mis he…',
  'Neutral',
  0],
 ['waffloesH',
  'RT SteveCase: PLEASE HELP: ChefJoseAndres is working tirelessly to feed #PuertoRico, but urgently needs our help: ',
  'Neutral',
  0],
 ['SteveLevinePR',
  'RT StarrMSS: .elvisduran gave 30K to @Bethenny to charter  plane to bring supplies to #PuertoRico HurricaneMaria. He also gave 100K to ',
  'Neutral',
  0],
 ['bronxdems',
  'RT theCEI: THANK YOU to rubendiazjr and the NY Hispanic Clergy for organizing an amazing event last week in support of PuertoRico! 🇵🇷❤️…',
  'Positive',
  3]]

It has a lot more lists but I only posted a sample. I've done most of the grunt work to get to this point. What I'm trying to do is print out the tweet which has the highest positive words and the highest negative. The higher the number on the last slice of the list, the more positive it is. (The -1, 0, and 3). I'm trying to print out the tweet which has the highest value associated with it.

This is some code I've been playing around with:

user_lines = []
for line in lines:
    freqs  = {}
    user_lines.append(line[2])
    for i in user_lines:
        if i not in freqs:
            freqs[i] = 1
        else:
            freqs[i] += 1
        
freqs

But that's all I have. Anyone have any ideas?

Answer 1

You could try it by specifying the key of max and min

mini=min(lines, key=lambda x: x[-1])
maxi=max(lines, key=lambda x: x[-1])

print(mini)
print(maxi)

Output:

mini
['ladybug7501', 'RT SamaritansPurse: You can help the many across #PuertoRico who remain in desperate need after #HurricaneMaria. See how here: …', 'Negative', -1]

maxi
['bronxdems', 'RT theCEI: THANK YOU to rubendiazjr and the NY Hispanic Clergy for organizing an amazing event last week in support of PuertoRico! 🇵🇷❤️…', 'Positive', 3]

Answer 2

If you want to save only the worst and the best rated tweet in a dictionary, you could iterate through the tweets and save the index where the worst/best rating is placed. After that you could save the informations of these indices into a dictionary like this:

highest = 0
lowest = 0
dic = {}
for i, line in enumerate(lines):
    number_of_likes = line[3]
    if number_of_likes < lowest:
        lowest = i
    if number_of_likes > highest:
        highest = i

dic['lowest'] = [lines[lowest][3], lines[lowest][1]]
dic['highest'] = [lines[highest][3], lines[highest][1]]

output:

{'lowest': [-1, 'RT SamaritansPurse: You can help the many across #PuertoRico who remain in desperate need after #HurricaneMaria. See how here: …'], 'highest': [3, 'RT theCEI: THANK YOU to rubendiazjr and the NY Hispanic Clergy for organizing an amazing event last week in support of PuertoRico! 🇵🇷❤️…']}