python - Pandas group the next row after a query -


i'm trying group possible mistaken values in dataframe, this:

df[(df.text == '4,') | (df.text == '85')]

i get: 

    region   line   text 58  15       2      85 76  0        4      4, 77  0        4      85 80  2        4      4, 81  2        4      85 82  3        4      4, 83  3        4      85

knowing values can group them, this:

df_values = df[(df.text == '4,') | (df.text == '85')] df_values.groupby("line")['text'].apply(''.join).reset_index()

the result this:

    line    text 0   0       4,85 1   2       4,85 2   3       4,85 3   15      85

but need conditionally possible cases, this:

possible[(df.text.str.contains(currency_re)==true)                       | (df.text.str.contains(re.compile('^([0-9 {2})$')))]

i did quick solution this:

possible_currencies.groupby(['region', "line"])['text']     .apply(''.join).reset_index()

the downside having possible values, or in same line/region like: 88 product u$: 10,23 grouping be: 8810,23 (bad)

i think best idea might group next row matches criteria.

but have no idea how that.

any thoughts?


Comments

Post a Comment

Popular posts from this blog

What is happening when Matlab is starting a "parallel pool"? -

running parallel cpu processes in matlab starts command parpool() according documentation , function: [creates] special job on pool of workers, , [connects] matlab client parallel pool. this function takes bit of time execute, on order of 30 seconds. in other multi-cpu paradigms openmp, parallel execution seems totally transparent -- i've never noticed behavior analogous matlab (granted i'm not experienced parallel programming). so, happening between time parpool() called , when finishes executing? takes long? parallel computing toolbox enables run matlab code in parallel using several different paradigms (e.g. jobs , tasks, parfor , spmd , parfeval , batch processing), , run either locally (parallelised across cores in local machine) or remotely (parallelised across machines in cluster - either 1 own, or 1 in cloud). in of these cases, code run on matlab workers , copies of matlab without interactive desktop. if you're intending run on remo...
Read more

angular - DownloadURL return null in below code -

when change file updated in firebase storage when try downloadurl show null. filechange(event: any) { const imagefolder: string = this.employee.id; const filelist: filelist = event.target.files; const file: file = filelist[0]; const storageref = firebase.storage().ref().child(`${imagefolder}/profile.jpg`).put(file); console.log(storageref.snapshot.downloadurl); } the put() asynchronous. if want url after file uploaded have this: firebase.storage().ref().child(`${imagefolder}/profile.jpg`).put(file).then((snapshot) => { storageref = snapshot.downloadurl: console.log(snapshot.downloadurl); });
Read more

php - Cannot override Laravel Spark authentication with own implementation -

during login process of laravel spark need request token of remote api. api stores exact same users , passwords laravel spark application. therefore need username , non hashed password of user during authentication process. i thought overriding authenticated method solution problem. in routes/web.php override post /login endpoint , pointing endpoint own logincontroller: <?php namespace app\http\controllers\auth; use illuminate\support\facades\log; use illuminate\http\request; use laravel\spark\http\controllers\auth\logincontroller sparklogincontroller; class logincontroller extends sparklogincontroller { /** * create new login controller instance. * * @return void */ public function __construct() { parent::__construct(); } /** * handle successful authentication attempt. * * @param request $request * @param \illuminate\contracts\auth\authenticatable $user * @return response */ public fu...
Read more