importnumpy as np wab1= [1,2,3,4,5,6,7] wab2= [7,6,5,4,3,2,1] list2=[]for(i,j)inzip(wab1,wab2): list2.append(i) list2.append(j)print(list2) a= np.array(list2).reshape(7,2)print(a) np.savetxt('new.csv',a, delimiter =',') #output[1, 7, 2, 6, 3, ...
print(save_list) for i in save_list: print(i) save_dic = ({'编号': row[0], '名称': row[1], '磁力链接': row[2]} for row in save_list) pd1 = pd.DataFrame(save_dic) pd1.to_csv('mysave.csv', encoding='gbk', index=False, header=None) to_scv_() 下面备忘录: 需求2 将...
下面通过代码进行说明 1importpandas as pd234classSaveCsv:56def__init__(self):7self.clist = [[1,2,3], [4,5,6], [7,8,9]]89defsavefile(self, my_list):10"""11把文件存成csv格式的文件,header 写出列名,index写入行名称12:param my_list: 要存储的一条列表数据13:return:14"""15df = ...
def add_list(): def select(): 1. 2. 3. 三个方法,最后使用保存的方法: def save(): with open("E:\\study.csv","w+",newline="",encoding="utf-8_sig")as f: writer = csv.writer(f) writer.writerow(["名字", "年龄", '电话']) for row in all: writer.writerow(row) 1. 2. ...
引入pandasimport pandas as pd 。 具体代码如下: 1 import pandas as pd 2 # 将列表存储为CSV格式 3 list = [[1,2,3],[4,5,6],[7,8,9]] 4 name = ["id" , "uid", "time"] 5 # 格式化并存储为CSV文件 6 pd.DataFrame(columns=name , data=list).to_csv("csvtest.csv") ...
DataFrame(json_data['list'])# 将DataFrame保存为CSV文件csv_file_path='data.csv'df.to_csv(csv_...
# Then save it to file xml_data = dicttoxml(data_dict).decode() with open("output.xml", "w+") as f: f.write(xml_data) JSON数据 JSON提供了一种简洁且易于阅读的格式,它保持了字典式结构。就像CSV一样,Python有一个内置的JSON模块,使阅读和写作变得非常简单!我们以字典的形式读取CSV时,然后我...
Create a list you want to save as CSV, as shown below. daily_task = ['Wake up at 5:00 AM', 'Take a Shower', 'Prepare breakfast', 'Start remote work'] In the above, a list nameddaily_taskis created. To save this list as CSV, convert it into a dictionary using the code below...
使用 Numpy 库：Numpy 是一个数值计算库，其中包含了 savetxt() 函数，可以将数组保存为 csv 文件。
1、使用csv.DictWriter()写入字典格式的数据 import csv with open('test.csv', 'w', newline='') as csvfile:...fieldnames = ['first_name', 'last_name'] writer = csv.Di...