{"id":1155,"date":"2019-11-18T14:19:49","date_gmt":"2019-11-18T06:19:49","guid":{"rendered":"http:\/\/www.yumefx.com\/?p=1155"},"modified":"2021-11-08T11:29:54","modified_gmt":"2021-11-08T03:29:54","slug":"python%e8%a1%a8%e6%a0%bc%e8%af%bb%e5%86%99","status":"publish","type":"post","link":"https:\/\/www.yumefx.com\/?p=1155","title":{"rendered":"python\u8868\u683c\u8bfb\u5199"},"content":{"rendered":"\n

\u6700\u8fd1\u5199\u4e86\u4e2a\u8bfb\u5199\u8868\u683c\u7684\u5de5\u5177\uff0c\u5728\u8fd9\u91cc\u8bb0\u5f55\u4e00\u4e0b\u76f8\u5173\u6280\u672f\u3002<\/p>\n

\u9996\u5148\u660e\u786e\u4e00\u4e0b\u5e38\u89c1\u8868\u683c\u7684\u683c\u5f0f\uff0c\u6700\u5e38\u89c1\u7684\u662fxls\u548cxlsx\uff0c\u524d\u8005\u662fExcel2003\u7248\u672c\u7684\u9ed8\u8ba4\u4fdd\u5b58\u683c\u5f0f\uff0c\u540e\u8005\u662fExcel2007\u4ee5\u540e\u7248\u672c\u7684\u9ed8\u8ba4\u4fdd\u5b58\u683c\u5f0f\u3002<\/p>\n

Excel2007\u5411\u4e0b\u517c\u5bb9xls\u683c\u5f0f\uff0c\u4f46Excel2003\u4e0d\u80fd\u517c\u5bb9xlsx\u683c\u5f0f\u3002<\/p>\n

\u56e0\u6b64\u8003\u8651\u5230\u517c\u5bb9\u6027\uff0c\u6700\u597d\u91c7\u7528xls\u683c\u5f0f\u4f5c\u4e3a\u9ed8\u8ba4\u683c\u5f0f\u8fdb\u884c\u5904\u7406\u3002<\/p>\n

\u9664\u6b64\u4ee5\u5916\u8fd8\u6709\u4e00\u79cdxlsm\u683c\u5f0f\uff0c\u662f\u4e00\u79cd\u7279\u6b8a\u7684xlsx\u6587\u4ef6\uff0c\u53ea\u662f\u5305\u542b\u4e86\u5b8f\u547d\u4ee4\uff0c\u5728\u6570\u636e\u5904\u7406\u4e2d\u6bd4\u8f83\u5c11\u89c1\u3002<\/p>\n

 <\/h1>\n

xlsx\u8bfb\u53d6<\/h1>\n\n\n\n
import xlrd<\/span>\n <\/span>\n    wb = xlrd.open_workbook(filename=\"test.xlsx\")#\u6253\u5f00\u6587\u4ef6<\/span>\n    print(wb.sheet_names())#\u83b7\u53d6\u6240\u6709\u8868\u683c\u540d\u5b57<\/span>\n<\/span>\n    sheet1 = wb.sheet_by_index(0)#\u901a\u8fc7\u7d22\u5f15\u83b7\u53d6\u8868\u683c<\/span>\n    sheet2 = wb.sheet_by_name('\u5e74\u7ea7')#\u901a\u8fc7\u540d\u5b57\u83b7\u53d6\u8868\u683c<\/span>\n    print(sheet1.name,sheet1.nrows,sheet1.ncols)<\/span>\n<\/span>\n    rows = sheet1.row_values(2)#\u83b7\u53d6\u884c\u5185\u5bb9<\/span>\n    cols = sheet1.col_values(3)#\u83b7\u53d6\u5217\u5185\u5bb9<\/span>\n    print(rows)<\/span>\n    print(cols)<\/span>\n<\/span>\n    print(sheet1.cell(1,0).value)#\u83b7\u53d6\u8868\u683c\u91cc\u7684\u5185\u5bb9\uff0c\u4e09\u79cd\u65b9\u5f0f<\/span>\n    print(sheet1.cell_value(1,0))<\/span>\n    print(sheet1.row(1)[0].value) <\/span>\n<\/pre>\n\n\n\n
 <\/h1>\n
xlsx\u5199\u5165<\/h1>\n\n\n\n
import xlwt<\/span>\n<\/span>\nf = xlwt.Workbook()<\/span>\nsheet1 = f.add_sheet('\u5b66\u751f',cell_overwrite_ok=True)<\/span>\nrow0 = [\"\u59d3\u540d\",\"\u5e74\u9f84\",\"\u51fa\u751f\u65e5\u671f\",\"\u7231\u597d\"]<\/span>\ncolum0 = [\"\u5f20\u4e09\",\"\u674e\u56db\",\"\u604b\u4e60Python\",\"\u5c0f\u660e\",\"\u5c0f\u7ea2\",\"\u65e0\u540d\"]<\/span>\n#\u5199\u7b2c\u4e00\u884c<\/span>\nfor i in range(0,len(row0)):<\/span>\n    sheet1.write(0,i,row0[i],set_style('Times New Roman',220,True))<\/span>\n#\u5199\u7b2c\u4e00\u5217<\/span>\nfor i in range(0,len(colum0)):<\/span>\n    sheet1.write(i+1,0,colum0[i],set_style('Times New Roman',220,True))<\/span>\n<\/span>\nsheet1.write(1,3,'2006\/12\/12')<\/span>\nsheet1.write_merge(6,6,1,3,'\u672a\u77e5')#\u5408\u5e76\u884c\u5355\u5143\u683c<\/span>\nsheet1.write_merge(1,2,3,3,'\u6253\u6e38\u620f')#\u5408\u5e76\u5217\u5355\u5143\u683c<\/span>\nsheet1.write_merge(4,5,3,3,'\u6253\u7bee\u7403')<\/span>\n<\/span>\nf.save('test.xls') <\/span>\n<\/pre>\n\n\n\n
\u9664\u4e86Excel\u4ee5\u5916\uff0c\u8fd8\u6709\u4e00\u79cd\u7c7b\u8868\u683ccsv\u683c\u5f0f\uff0c\u8fd9\u662f\u4e00\u79cd\u660e\u6587\u5b58\u50a8\uff0c\u4ee5\u884c\u548c\u5206\u9694\u7b26\u4e3a\u754c\u7684\u6570\u636e\u5b58\u50a8\u683c\u5f0f\uff0c \u7b2c\u4e00\u884c\u53ef\u4ee5\u662f\u5217\u540d \uff0c\u5206\u9694\u7b26\u9ed8\u8ba4\u662f\u9017\u53f7\uff0c\u4e5f\u53ef\u4ee5\u662f\u5206\u53f7\u6216\u5236\u8868\u7b26\u3002<\/p>\n
\u8bb8\u591a\u7a0b\u5e8f\u7279\u522b\u662f\u6570\u636e\u5e93\u90fd\u652f\u6301\u5bfc\u5165\u5bfc\u51fa\u8be5\u683c\u5f0f\uff0c\u7528\u6765\u4f5c\u4e3a\u4e0e\u5176\u4ed6\u8f6f\u4ef6\u8fdb\u884c\u6570\u636e\u4ea4\u6362\u7684\u901a\u7528\u683c\u5f0f\u3002<\/p>\n
csv\u683c\u5f0f\u8bfb\u5199\u53ef\u4ee5\u4f7f\u7528python\u81ea\u5e26\u7684csv\u5e93\uff0c\u6216\u8005\u7b2c\u4e09\u65b9\u7684pandas\u5e93\u3002<\/p>\n
 <\/h1>\n
\u8bfbcsv<\/h1>\n\n\n\n
import csv   <\/span>\n<\/span>\nwith open('test.csv','r') as myFile:       <\/span>\n    lines=csv.reader(myFile)   <\/span>\n    for line in lines: <\/span>\n        print line  <\/span>\n<\/pre>\n\n\n\n
import pandas <\/span>\n<\/span>\npandas.read_csv('test.csv',encoding='gbk') <\/span>\n#\u5176\u4ed6\u5e38\u7528\u53c2\u6570<\/span>\n#sep=\";\"  \u6307\u5b9a\u9017\u53f7\u4ee5\u5916\u7684\u5206\u9694\u7b26<\/span>\n#delimiter=\";\" \u5907\u9009\u5206\u9694\u7b26\uff0c\u6307\u5b9a\u4e86\u8fd9\u4e2a\u5219sep\u5931\u6548<\/span>\n#usecols=[\"name\"] \u8bfb\u53d6\u90e8\u5206\u5217\uff0c\u53ef\u4ee5\u6307\u5b9a\u5217\u5e8f\u53f7\u6216\u8005\u5217\u540d<\/span>\n<\/pre>\n\n\n\n
 <\/h1>\n
\u5199csv<\/h1>\n\n\n\n
import csv<\/span>\n<\/span>\n#\u7531\u4e8e\u9ed8\u8ba4\u5199\u5165\u4e00\u884c\u540e\u4f1a\u7559\u7a7a\u4e00\u884c\u4f1a\u5199\u5165\uff0c\u56e0\u6b64newline=\"\"\u7684\u610f\u601d\u5c31\u662f\u4e0d\u7559\u7a7a\u884c\u3002 <\/span>\nwith open('frank.csv','w', newline='' ) as myFile:<\/span>\n    writer = csv.writer(myFile)<\/span>\n    writer.writerow(['frank', 'yangchao']) <\/span>\n    writer.writerows([('Bob','Tom'), ('liuwei', 'liuyong')]) <\/span>\n<\/pre>\n\n\n\n
import pandas<\/span>\n<\/span>\nData = {'col2': [3, 4], 'col4': [1, 2]} <\/span>\nDF =  pd.DataFrame(Data) #\u53ef\u4ee5\u907f\u514ddict\u7684key\u65e0\u5e8f\u6027 <\/span>\nDF.drop_duplicates()  #\u5220\u9664\u91cd\u590d\u6570\u636e<\/span>\nDF.to_csv(r'test.csv',encoding='gbk') <\/span>\n<\/pre>\n\n\n\n
 <\/h1>\n
json\u683c\u5f0f\u8bfb\u5199csv<\/h1>\n\n\n\n
import csv<\/span>\n<\/span>\nwith open('frank.csv','r') as myFile: <\/span>\n    reader = csv.DictReader(myFile) <\/span>\n#\u7b2c\u4e00\u884c\u4f5c\u4e3akey\uff0c\u5176\u4ed6\u884c\u4e3avalue<\/span>\n<\/pre>\n\n\n\n
import csv<\/span>\n<\/span>\nwith open('frank.csv','w',newline='') as myFile:<\/span>\n    writer = csv.DictWriter(myFile, fieldnames=['name', 'address']) <\/span>\n    # \u8fd9\u91cc\u6ce8\u610f\uff0cfieldname\u5217\u8868\u4e2d\u7684\u5b57\u6bb5\u4e3a\u9700\u8981\u5b58\u5165\u7684\u5b57\u5178\u7684key\uff0c\u5b58\u5165\u4e4b\u540e\u5c31\u5b58\u5165key\u6240\u5bf9\u5e94\u7684value <\/span>\n    writer.writeheader() <\/span>\n    writer.writerows([{'name':'Tom','address':'American'}, {'name':'Bob', 'address':'China'}])<\/span>\n<\/pre>\n\n\n\n
 <\/h1>\n
csv\u8f6c\u6362\u6210xlsx\u683c\u5f0f<\/h1>\n\n\n\n
import csv <\/span>\nimport xlwt<\/span>\n<\/span>\nwith open('1.csv', 'r', encoding='utf-8') as f:    <\/span>\n    read = csv.reader(f)    <\/span>\n    workbook = xlwt.Workbook()      <\/span>\n    sheet = workbook.add_sheet('data')  # \u521b\u5efa\u4e00\u4e2asheet\u8868\u683c     <\/span>\n    l = 0     <\/span>\n    for line in read:     <\/span>\n        r = 0    <\/span>\n        for i in line:           <\/span>\n            sheet.write(l, r, i)  # \u4e00\u4e2a\u4e00\u4e2a\u5c06\u5355\u5143\u683c\u6570\u636e\u5199\u5165   <\/span>\n            r = r + 1  <\/span>\n        l = l + 1       <\/span>\nworkbook.save('1.xlsx')  # \u4fdd\u5b58Excel<\/span>\n<\/pre>\n\n\n\n
import pandas as pd<\/span>\n<\/span>\ncsv = pd.read_csv('1.csv', encoding='utf-8')     <\/span>\ncsv.to_excel('1.xlsx', sheet_name='data') <\/span>\n<\/pre>\n\n\n\n
 <\/h1>\n
xlsx\u8f6c\u6362\u6210csv\u683c\u5f0f<\/h1>\n\n\n\n
import xlrd <\/span>\nimport csv   <\/span>\n    <\/span>\nworkbook = xlrd.open_workbook('1.xlsx')     <\/span>\ntable = workbook.sheet_by_index(0)     <\/span>\nwith codecs.open('1.csv', 'w', encoding='utf-8') as f:     <\/span>\n    write = csv.writer(f)      <\/span>\n    for row_num in range(table.nrows):    <\/span>\n        row_value = table.row_values(row_num)  <\/span>\n        write.writerow(row_value) <\/span>\n<\/pre>\n\n\n\n
import pandas as pd<\/span>\n<\/span>\ndata_xls = pd.read_excel('1.xlsx', index_col=0)  <\/span>\ndata_xls.to_csv('1.csv', encoding='utf-8')<\/span>\n<\/pre>\n\n\n\n\n\n
\n\n\n\n
\u4eba\u751f\u7684\u65c5\u7a0b\u5c31\u662f\u8fd9\u6837\uff0c\u7528\u5927\u628a\u7684\u65f6\u95f4\u8ff7\u832b\u5728\u51e0\u4e2a\u77ac\u95f4\u6210\u957f\u3002<\/p>\n
\u2014\u2014\u745e\u5361\u65af<\/p>\n","protected":false},"excerpt":{"rendered":"
\u6700\u8fd1\u5199\u4e86\u4e2a\u8bfb\u5199\u8868\u683c\u7684\u5de5\u5177\uff0c\u5728\u8fd9\u91cc\u8bb0\u5f55\u4e00\u4e0b\u76f8\u5173\u6280\u672f\u3002 \u9996\u5148\u660e\u786e\u4e00\u4e0b\u5e38\u89c1\u8868\u683c\u7684\u683c\u5f0f\uff0c\u6700\u5e38\u89c1\u7684\u662fxls\u548cxlsx\uff0c\u524d […]<\/p>\n","protected":false},"author":1,"featured_media":1186,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[12,4],"tags":[37,22,15],"_links":{"self":[{"href":"https:\/\/www.yumefx.com\/index.php?rest_route=\/wp\/v2\/posts\/1155"}],"collection":[{"href":"https:\/\/www.yumefx.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.yumefx.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.yumefx.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.yumefx.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1155"}],"version-history":[{"count":0,"href":"https:\/\/www.yumefx.com\/index.php?rest_route=\/wp\/v2\/posts\/1155\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.yumefx.com\/index.php?rest_route=\/wp\/v2\/media\/1186"}],"wp:attachment":[{"href":"https:\/\/www.yumefx.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1155"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.yumefx.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1155"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.yumefx.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}