我在一个项目上的工作,以计数聊天中唯一的评论者,并存储在一个csv文件中的文件名和该聊天的评论者人数为每个文件。但是,我现在的代码是打开所有文档,并计算多个文件中的所有注释者。因此,它不是为每个文件获取单个唯一的评论者,而是计算多个文件中的所有评论者。所有文件中都有10个唯一的注释者,但是,我需要能够看到每个文件的唯一注释者的数量,并将这些数据存储在csv文件中(请参见csv文件图片的所需输出)。我觉得我很接近,但我被卡住了。有没有人能帮助解决这个问题,或者建议其他方法?你知道吗
import os, sys, json
from collections import Counter
import csv
filename=""
filepath = ""
jsondata = ""
dictjson = ""
commenterid = []
FName = []
UList = []
TextFiles = []
UCommenter = 0
def get_FilePathList():
for root, dirs, files in os.walk("/Users/ammcc/Desktop/"):
for file in files:
##Find File with specific ending
if file.endswith("chatinfo.txt"):
path = "/Users/ammcc/Desktop/"
##Get the File Path of the file
filepath = os.path.join(path,file)
##Get the Filename of the file ending in chatinfo.txt
head, filename = os.path.split(filepath)
##Append all Filepaths of files ending in chatinfo.txt to TextFiles array/list
TextFiles.append(filepath)
##Append all Filenames of files ending in chatinfo.txt to FName array/list
FName.append(filename)
def open_FilePath():
for x in TextFiles:
##Open each filepath in TextFiles one by one
open_file = open(x)
##Read that file line by line
for line in open_file:
##Parse the Json of the file into jsondata
jsondata = json.loads(line)
##Line not needed but, Parse the Json of the file into dictjson as Dictionary
dictjson = json.dumps(jsondata)
## if the field commenter is found in jsondata
if "commenter" in jsondata:
##Then, append the field ["commenter"]["_id"] **(nested value in the json)** into list commenterid
commenterid.append(jsondata["commenter"]["_id"])
##Get and count the unique ids for the commenter
Ucommenter = (len(set(commenterid)))
##Appended that unique count in UList
UList.append(Ucommenter)
## create or append to the Commenter.csv file
with open('Commenter.csv', 'a') as csvfile:
filewriter = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
##Write the individual filename and the unique commenters for that file
filewriter.writerow([filename, Ucommenter])
commenterid.clear()
##Issue: Not counting the commenters for each file and storing the filename and its specific number of commneters in csv.
##the cvs is being created but the rows in the csv is not generating correctly.
##Call the functions
get_FilePathList()
open_FilePath()
csv文件中的当前输出
csv文件的所需输出
建议后输出
Nemanja Radojković溶液后的输出和代码:
**正确的输出格式,但仍不计算每个文件的唯一注释者。你知道吗
import json, os
import pandas as pd
import numpy as np
from collections import Counter
TextFiles = []
FName = []
csv_rows = []
commenterid = []
unique_id = []
NC = []
for root, dirs, files in os.walk("/Users/ammcc/Desktop/"):
for file in files:
if file.endswith("chatinfo.txt"):
path = "/Users/ammcc/Desktop/"
filepath = os.path.join(path,file)
head, filename = os.path.split(filepath)
TextFiles.append(filepath)
FName.append(filename)
n_commenters = 0
with open(filepath) as open_file:
for line in open_file:
jsondata = json.loads(line)
if "commenter" in jsondata:
commenterid.append(jsondata["commenter"]["_id"])
list_set = set(commenterid)
unique_list = (list(list_set))
for x in list_set:
n_commenters += 1
commenterid.clear()
csv_rows.append([filename, n_commenters])
df = pd.DataFrame(csv_rows, columns=['FileName', 'Unique_Commenters'])
df.to_csv('CommeterID.csv', index=False)
试试这个:
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