数学建模之Python操作csv文件

1.用Python通过csv文件里面的某一列，形成键值，然后统计键在其他列出现的次数。

import pandas as pd
import numpy as np
import csv
import codecs
import sys

data_original = pd.read_csv('D:/csv_data_original.csv')
data = pd.read_csv('D:/week1.csv')
#data = data['retweeted_status_mid'].fillna('NOT PROVIDED',inplace=True)
#data_transpond = data[data['retweeted_status_mid'] != 'NOT PROVIDED']

#每条原创微博转发次数统计
def statistics(path1,path2):
    num1 = 0
    num2 = 0
    #这块代码用来形成键值，初始化为0
    with open(path2, 'r', encoding="iso-8859-1") as f:
        reader2 = csv.reader(f)
        data_head2 = next(reader2)
        print(data_head2)
        data_line = next(reader2)
        while(data_line):
            if data_line[0] not in mid.keys():
                mid[data_line[0].encode("iso-8859-1").decode("gbk", "ignore")] = 0
                num2 += 1
                print("正在创建第" + str(num2) + "个键")
            try:
                data_line = next(reader2)
            except StopIteration:
                print("数据处理完毕，键值完全形成" + str(num2) + "!")
                break
                #sys.exit()
        f.close()
    #这块代码用来统计每个键出现的次数
    with open(path1, 'r', encoding="iso-8859-1") as f:
        reader1 = csv.reader(f)
        data_head1 = next(reader1)
        print(data_head1)
        data_line = next(reader1)
        while(data_line):
            if data_line[1] in mid.keys():
                mid[data_line[1].encode("iso-8859-1").decode("gbk", "ignore")] += 1
                print("这条微博被转发" + str(mid[data_line[1]]) + "次")
            try:
                data_line = next(reader1)
            except StopIteration:
                print("数据处理完毕，转发次数统计完毕")
                break
                #sys.exit()
        f.close()
#字典转化为列表
def transpond(dict):
    global list_key#保存键
    global list_value#保存值
    list_key = list(dict)
    list_value = list(dict.values())


#将数据写入csv文件
def data_write_csv(file_name, list1,list2):#file_name为写入CSV文件的路径，datas为要写入数据列表
    with open(file_name,'w',newline='') as f:
        writer = csv.writer(f)
        writer.writerows(zip(list1, list2))


if __name__ == "__main__":
    path_data = 'D:/week1.csv'  # 原始数据路径
    path_data_original = 'D:/csv_data_original.csv'  # 处理后只含原创的微博数据路径
    path_save = 'D:/transpond_data.csv'  # 保存处理后的数据
    mid = {}  # 定义字典用来保存每条原创微博被转发的次数
    list_key = []  # 保存键
    list_value = []  # 保存值
    statistics(path_data,path_data_original)
    transpond(mid)
    data_write_csv(path_save,list_key,list_value)

2.与1类似的操作，具体有一些细节变动，代码中有注释

import csv
import pandas as pd

#每条原创微博转发次数统计
def statistics(path1,path2):
    num2 = 0
    #这块代码用来形成键值，初始化为0
    with open(path2, 'r', encoding="iso-8859-1") as f:
        reader2 = csv.reader(f)
        data_head2 = next(reader2)
        print(data_head2)
        data_line = next(reader2)
        while(data_line):
            if data_line[0] not in mid.keys():
                mid[data_line[0].encode("iso-8859-1").decode("gbk", "ignore")] = 0
                num2 += 1
                print("正在创建第" + str(num2) + "个键")
            try:
                data_line = next(reader2)
            except StopIteration:
                print("数据处理完毕，键值完全形成" + str(num2) + "!")
                break
                #sys.exit()
        f.close()
    #这块代码用来统计每个键出现的次数
    with open(path1, 'r', encoding="iso-8859-1") as f:
        reader1 = csv.reader(f)
        data_head1 = next(reader1)
        print(data_head1)
        data_line = next(reader1)
        while(data_line):
            if data_line[2] in mid.keys():
                mid[data_line[2].encode("iso-8859-1").decode("gbk", "ignore")] += int(data_line[1])
                print("这个用户的微博被转发一共" + str(mid[data_line[2]]) + "次")
            try:
                data_line = next(reader1)
            except StopIteration:
                print("数据处理完毕，转发次数统计完毕")
                break
                #sys.exit()
        f.close()

#字典转化为列表
def transpond(dict):
    global list_key#保存键
    global list_value#保存值
    list_key = list(dict)
    list_value = list(dict.values())

#将数据写入csv文件
def data_write_csv(file_name, list1,list2):#file_name为写入CSV文件的路径，datas为要写入数据列表
    with open(file_name,'w',newline='') as f:
        writer = csv.writer(f)
        writer.writerows(zip(list1, list2))

if __name__ == '__main__':
    path1 = 'D:/csv_data_original_num.csv'  # 用来形成键的数据路径
    path2 = 'D:/data_all.csv'  # 用来查找键值的数据路径
    path_save = 'D:/user_transpond.csv'  # 存放统计好的数据路径
    mid = {}
    list_key = []
    list_value = []
    statistics(path2,path1)
    transpond(mid)
    data_write_csv(path_save,list_key,list_value)

3.将大数据的csv文件根据特定条件分成几份小文件

#coding = utf-8
import pandas as pd
import csv


def get_txt(path1,path2,path3,path4,path5,path6,path7,path8):
    num = 0
    with open(path1, 'r',encoding = 'utf-8') as f:
        txt1 = open(path2, "w", encoding='utf-8')
        txt2 = open(path3, "w", encoding='utf-8')
        txt3 = open(path4, "w", encoding='utf-8')
        txt4 = open(path5, "w", encoding='utf-8')
        txt5 = open(path6, "w", encoding='utf-8')
        txt6 = open(path7, "w", encoding='utf-8')
        txt7 = open(path8, "w", encoding='utf-8')
        reader1 = csv.reader(f)
        data_head1 = next(reader1)
        print(data_head1)
        data_line = next(reader1)
        while(data_line):
            num += 1
            print(num)
            print(data_line[6])
            if num > 0 and num < 700000:
                txt1.write(data_line[6] + '
')
            elif num >= 700000 and num < 1400000:
                txt2.write(data_line[6] + '
')
            elif num >= 1400000 and num < 2100000:
                txt3.write(data_line[6] + '
')
            elif num >= 2100000 and num < 2800000:
                txt4.write(data_line[6] + '
')
            elif num >= 2800000 and num < 3500000:
                txt5.write(data_line[6] + '
')
            elif num >= 3500000 and num < 4200000:
                txt6.write(data_line[6] + '
')
            elif num >= 4200000 and num < 4700000:
                txt7.write(data_line[6] + '
')
            try:
                data_line = next(reader1)
            except StopIteration:
                print("数据处理完毕，转发次数统计完毕")
                break
                #sys.exit()
        f.close()
if __name__ == '__main__':
    path1 = 'D:/week1.csv'
    path2 = 'D:/text1.txt'
    path3 = 'D:/text2.txt'
    path4 = 'D:/text3.txt'
    path5 = 'D:/text4.txt'
    path6 = 'D:/text5.txt'
    path7 = 'D:/text6.txt'
    path8 = 'D:/text7.txt'
    get_txt(path1,path2,path3,path4,path5,path6,path7,path8)