2024-05-04 11:17:34 发布
网友
你可以用^{}:
from collections import Counter words = [] for line in open('data.txt'): # Your logic here words.append(line.split()[1]) words_dict = Counter(words) for key, value in words_dict.items(): print(key, value)
输出:
303574 1 55596 3 303630 1 303567 1 303595 1 303616 1 240840 3 303588 1 55590 1 303623 1 303602 1 303581 1 55608 3 303609 1
IIUC,你可以这样对待熊猫:
import pandas as pd df = pd.read_csv('Data_File_Path', sep='\s+', header=None, usecols=[1]) df[ df[1] < 6000000 ][1].value_counts()
55608 3 55602 3 55596 3 240840 3 303581 1 303609 1 303574 1 303567 1 303630 1 303595 1 303623 1 55590 1 303588 1 303602 1 303616 1 Name: 1, dtype: int64
你可以用^{}:
输出:
IIUC,你可以这样对待熊猫:
输出:
相关问题 更多 >
编程相关推荐