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, ...
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 file_summary(file_path): wb = Workbook() ws=wb.active print ("file_summary") with open('File_list.csv','w',newline='', encoding='utf-8-sig') as f_csv: w=csv.writer(f_csv) ws.cell(1,1).value='File_name' ws.cell(1,2).value='Size' ws.cell(1,3).value='Modify_ti...
Python将数组元素按列写入csv文件 import pandas as pd #长度必须保持一致,否则报错 a = [x for x in data] b = [x for x in data3] c = [x for x in data2] #字典中的key值即为csv中列名 dataframe = pd.DataFrame({'车流量':a,'速度':b,'占有率':c}) #将DataFrame存储为csv dataframe....
python 数组保存到文件 python保存数组到csv,1.importnumpyasnpnp.savetxt('E:\\forpython\\featvector.csv',data_to_save,delimiter=',')2.importpandasaspdlist=[[1,2,3],[4,5,6],[7,9,9]]name=['one','two','three']test=pd.DataFrame(column
json_data['list'])# 将DataFrame保存为CSV文件csv_file_path='data.csv'df.to_csv(csv_file_path...
workbook.save(result_path) print('*** 生成Excel文件 ' + result_path + ' *** \n') if __name__ == '__main__': write_excel_file("D:\core\\") 第三种,使用pandas,可以写入到csv或者xlsx格式文件 import pandas as pd result_list = [['1', 1, 1], ['2', 2, 2], ['3', 3...
打开输出文件并写入数据withopen('output.csv',mode='w',newline='')asfile:writer=csv.writer(file...
Python 将数据写入文件(txt、csv、excel) 一、将列表数据写入txt、csv、excel 1、写入txt def text_save(filename, data):#filename为写入CSV文件的路径,data为要写入数据列表...") 2、写入csv import csv import codecs def data_write_csv(file_name, datas):#file_name为写入CSV文件的路径,datas...为...
import csv #python2可以用file替代open with open("test.csv","w") as csvfile: writer = csv.writer(csvfile) #先写入columns_name writer.writerow(["index","a_name","b_name"]) #写入多行用writerows writer.writerows([[0,1,3],[1,2,3],[2,3,4]]) ...