【问题标题】:CSV being read with no rows读取的 CSV 没有行
【发布时间】:2019-03-08 01:55:03
【问题描述】:

我正在尝试将网页中的 csv 读入 pandas,但得到的内容是空数据框和 0 行 155 列的对象。我觉得我错过了一步。努力使用来自网络的数据,而不是我的机器。

url ="https://data.world/exercises/data-wrangling-exercise-1/workspace/file?filename=Crime_2015.csv"
crimex= pd.read_csv(url)
print(crimex)

输出如下:

空数据框 列:[ data.world 正在加载...?反馈{“dataset”:{“hasError”:false,loadedDatasets:{},usersDatasets:{},loadedCurrentUsersDatasets:false,usersDatasetsTotalCount:0},user:{“hasError”:假,loadedUsers:{},userFollows:{},userLikes:{},userInvites:null,userRecentComments:{},groupAuthorizations:{}},邀请:{},治疗:[“showVersions”,showWorkspaceTabs,showEntityLinkOptions,paramQueries] , currentUser:{"authorizedAccounts":null, requests:[], unDismissedTourCount:2, needsAnalyticsAlias:false, notifications:[],dismissed:[], profile:{"agentid":"", visitorid:"109156be-c4fb- 41ea-b1b4-efe1671c580f", displayName:"", email:"", company:"", activeSubscriptionid:"", accountStanding:"good", bio:"", emailVerified:true, location:"", website:" ", avatarUrl:"", numFollowers:0, numFollowing:0, numOrganizations:0, allowedRoles:[], 关系:{}, created:"", updated:"", tags:[], abTests:{"buckets" :{"landingPageVideo":{"name":"video", value:1}, openAccessTwo:{"name":"normal", value:0}, 边doorVideo:{"name":"play-video", value:1}}}, orgMode:"", orgDetails:"", level:"", userCapabilities:{}}, requestsFetching:false, authorizedClients:[], isLoggedIn:假的,onboardThisSession:假的,令牌: “eyJhbGciOiJIUzUxMiJ9.eyJzdWIiOiJwcm9kLXVzZXItY2xpZW50IiwiaXNzIjoiYXV0aG9yaXR5OmRhdGFkb3R3b3JsZDo6MEJGMEVCRDMtMkRFNy00OUZCLUI4N0ItQUQwMzA1N0JCODlFIiwiaWF0IjoxNTM4NDkxMzM0LCJyb2xlIjpbXSwiZXhwIjoxNTM4NTc3NzM0LCJ2aXNpdG9yaWQiOiIxMDkxNTZiZS1jNGZiLTQxZWEtYjFiNC1lZmUxNjcxYzU4MGYiLCJnZW5lcmFsLXB1cnBvc2UiOnRydWUsImF1dGhvcml0eWlkcyI6WyJkYXRhZG90d29ybGQiXX0.9zL3wK5ceD8ylOykw30wuN5JQLPNjArVYo7H-1R85OvTb2hHPTKekcZKYoW-fLhZhnRH22PXTfg23RD__wK3wA”},讨论:{},路由:{ “locationBeforeTransitions”:空},siteStatus:{ “uploadsOperational”:真实,queryOperational:真, websiteOperational:true, downloadsOperational:true, shouldAskReload:false, shouldForceReload:false,incidentName:"", eventMessage:"", pageStatus:"none"}, loginModal:{"show":false}, signUpModal:{"show" :假,治疗:空,治疗道具s:null},linkedOnboardModal:{“show”:false},查询:{},requestInfo:{“pathsMarkedAs404”:[],元数据:{}},集成:{“activeIntegrations”:[]},客户:{ },事件:{“状态”:“关闭”,元:{}}}{“分析”:{“snowplow_pixel”:“d2vtrn3jrzj4cp.cloudfront.net”,segment_id:“IXhtZmPohuGM60VHk59cdSbWqWQBB7aR”},filestack_media_key:“AhpzUeRlHRGCiCUDy2Tz3z”, filestack_dataset_key: “AuM8NdQnIQGE3NOBFdr6wz”,filestack_dataset_strings_url: “HTTPS:\ u002F \ u002Fcdn.filepicker.io \ u002Fapi \ u002Ffile \ u002F2OkHIxqQqq0DvgBPfiAh”,filestack_max_upload_size:524288000,iframely_key: “e4239223dd4ad21531b3a044840d5898”,sentry_dsn_client:“HTTPS:\ u002F \ u002F78d03c5189424a139f3e29423a60f67f@app.getsentry .com\u002F78710", version_build:"b003207", version_commit:"96f0da448", version_check_interval:60000, csrf_cookie_name:"_csrf", csrf_header_name:"x-csrf-token", analytics_log_to_console:false, ...] 索引:[]

[0 行 x 155 列]

【问题讨论】:

    标签: python pandas csv import


    【解决方案1】:

    您需要按照 data.world 网站上所说的去做。

    点击下载链接(在右上角),分享网址并使用:

    共享安全下载链接:

    https://query.data.world/s/xxxxxxxlink_codexxxxxxxx
    

    要导入:

    import pandas as pd
    df = pd.read_csv('https://query.data.world/s/xxxxxxxlink_codexxxxxxxx')
    

    注意:我的链接已被编辑为无效,您可以提供自己的链接。

    【讨论】:

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