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Python error: string indices must be integers - python

i need to write a small json data object with python, but when i use this, it don't work, what do i wrong?
This is for the newest version of Python
import urllib, json
import requests
import json
with open('locaties.json') as json_file:
data = json.load(json_file)
for parkeerlocaties in data['parkeerlocaties']:
for locatie in parkeerlocaties['parkeerlocatie']:
for title in locatie['title']:
print("Hello World")
{"parkeerlocaties":[{"parkeerlocatie":{"title":"Fietsenstalling Tolhuisplein","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9032801,52.3824545]}","type":"Fietspunt","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/fiets\/fietsparkeren\/gemeentelijke\/","urltitle":"www.amsterdam.nl\/fiets","adres":"Buiksloterweg 3","postcode":"1031 CC","woonplaats":"Amsterdam","opmerkingen":"Alleen toegankelijk voor abonnementhouders van Tolhuisplein, automatische stalling"}},{"parkeerlocatie":{"title":"Fietsenstalling Paradiso","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8833735,52.3621851]}","type":"Fietspunt","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/fiets\/fietsparkeren\/gemeentelijke\/","urltitle":"www.amsterdam.nl\/fiets","adres":"Weteringschans 4 A","postcode":"1017 SG","woonplaats":"Amsterdam","opmerkingen":"Maximale parkeerduur 28 dagen, stalling met toezicht"}},{"parkeerlocatie":{"title":"Fietsenstalling Zuidplein","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8719467,52.3398642]}","type":"Fietspunt","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/fiets\/fietsparkeren\/gemeentelijke\/","urltitle":"www.amsterdam.nl\/fiets","adres":"Zuidplein 5","postcode":"1077 XV","woonplaats":"Amsterdam","opmerkingen":"Maximale parkeerduur 28 dagen, stalling met toezicht"}},{"parkeerlocatie":{"title":"Fietsenstalling Station Rai (gesloten tot februari 2019)","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8905079,52.339392]}","type":"Fietspunt","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/fiets\/fietsparkeren\/gemeentelijke\/","urltitle":"www.amsterdam.nl\/fiets","adres":"Europaboulevard 4","postcode":"1083 AD","woonplaats":"Amsterdam","opmerkingen":"Sluit voor renovatie op 21 juli 2018. Er zijn rond het station extra parkeerplekken voor fiets gemaakt."}},{"parkeerlocatie":{"title":"P+R Zeeburg","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9607015,52.3719632]}","type":"P+R","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeren-reizen\/#h4f9f93f8-875b-4d18-936a-c1eba9d6f198","urltitle":"www.amsterdam.nl\/penr ","adres":"Zuiderzeeweg 46 a","postcode":"1095KJ","woonplaats":"Amsterdam","opmerkingen":"","OV_bus":"bus 37 Noord - Amstelstation vv","OV_tram":"tram 26 Ijburg - Centraal Station vv","OV":"tram;GVB_26_1;08240, bus;GVB_37_2;08134"}},{"parkeerlocatie":{"title":"Weekend P+R VUmc","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8611063,52.3361167]}","type":"P+R","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeren-reizen\/#hdce18cfd-fc8f-4728-be57-2d9a23b494d9","urltitle":"www.amsterdam.nl\/penr","adres":"Gustav Mahlerlaan 3004","postcode":"1081 LA","woonplaats":"Amsterdam","opmerkingen":"","OV_metro":"metro 51 Isolatorweg - Centraal Station vv (maart 2019 t\/m eind 2020), metro 50 met overstap Overamstel op 51 Centraal Station","OV_tram":"tram 24 VU medisch centrum - Centraal Station vv, tram 5 Amstelveen - Van Hallstraat vv","OV":"metro;GVB_50_1;07343;09563, tram;GVB_24_1;07350, tram;GVB_5_1;07410"}},{"parkeerlocatie":{"title":"P+R Bos en Lommer","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8453671,52.379131]}","type":"P+R","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeren-reizen\/#h9434503d-d323-4331-b792-5210ce062c42","urltitle":"www.amsterdam.nl\/penr ","adres":"Leeuwendalersweg 23 b","postcode":"1055JE","woonplaats":"Amsterdam","opmerkingen":"","OV_bus":"bus 21 Geuzenveld - Centraal Station vv","OV_tram":"tram 7 Slotermeer - Azartplein vv","OV":"bus;GVB_21_1;03060, tram;GVB_7_1;03167"}},{"parkeerlocatie":{"title":"P+R Sloterdijk","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8384209,52.3900128]}","type":"P+R","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeren-reizen\/#h628fb483-dec3-4a9d-9d52-50136e9639ec","urltitle":"www.amsterdam.nl\/penr","adres":"Piarcoplein 1","postcode":"1043DW","woonplaats":"Amsterdam","opmerkingen":"","OV_bus":"bus 22 Station Sloterdijk - Muiderpoortstation vv","OV_metro":"metro 50 Isolatorweg - Gein vv, overstap 51 op Station Zuid \/ Station RAI \/ Overamstel","OV_tram":"tram 19 Station Sloterdijk - Diemen vv","OV_trein":"Treinen tussen station Sloterdijk en de stations CS, Muiderpoort en Amstel (GVB P+R-kaart niet geldig)","OV":"tram;GVB_19_1;02361;00014, metro;GVB_50_1;02295;09563, metro;GVB_51_1;*09563, bus;GVB_22_1;02367;00001"}},{"parkeerlocatie":{"title":"P+R Olympisch Stadion","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8539215,52.3440266]}","type":"P+R","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeren-reizen\/#h4567b083-9fea-4848-882a-280b6abc7853","urltitle":"www.amsterdam.nl\/penr ","adres":"Olympisch Stadion 44","postcode":"1076DE","woonplaats":"Amsterdam","opmerkingen":"","OV_tram":"tram 24 VU medisch centrum - Centraal Station vv","OV":"tram;GVB_24_1;07121"}},{"parkeerlocatie":{"title":"P+R Johan Cruijff ArenA","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9405734,52.3137551]}","type":"P+R","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeren-reizen\/#h1dfa5189-98e8-42ce-8119-ce74f2451969","urltitle":"www.amsterdam.nl\/penr","adres":"Burgemeester Stramanweg 130","postcode":"1101EP","woonplaats":"Amsterdam","opmerkingen":"","OV_metro":"metro 54 Gein - Centraal Station vv","OV_trein":"Treinen tussen station Bijlmer Arena en stations Amstel, Muiderpoort en Centraal Station (GVB P+R-kaart niet geldig)","OV":"metro;GVB_54_1;09522"}},{"parkeerlocatie":{"title":"Amsterdamse Poort (P21 t\/m 24)","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9626214,52.3192019]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/amsterdamse-poort-p21\/","urltitle":"Amsterdamse Poort P21","adres":"Bijlmerdreef 700","postcode":"1103DS","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"P18 HES\/ ROC","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9466199,52.3152543]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/garage-p18-hes-roc\/","urltitle":"Bekijk P18 HES\/ ROC op www.amsterdam.nl\/parkeergarages","adres":"Fraijlemaborg 131","postcode":"1102CV","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"P1 ArenA","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9405851,52.3137433]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/parkeergarage-p1\/","urltitle":"Bekijk P1 ArenA op www.amsterdam.nl\/parkeergarages","adres":"Burgemeester Stramanweg 130","postcode":"1101EP","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"P10 Plaza ArenA","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9409531,52.3080762]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/p10-plaza-arena\/","urltitle":"Bekijk P10 Plaza ArenA op www.amsterdam.nl\/parkeergarages","adres":"Herikerbergweg 288","postcode":"1101CT","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"P 3 Mikado","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9413266,52.3103066]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/garage-p3-mikado\/","urltitle":"Bekijk P3 Mikado op www.amsterdam.nl\/parkeergarages","adres":"De entree 228","postcode":"1101EE","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"RAI Parking","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8921615,52.3383996]}","type":"CommercieleParkeergarage","url":"https:\/\/www.rai.nl\/nl\/contact-bereikbaarheid-en-parkeren\/parkeren-bij-rai-amsterdam\/","urltitle":"Rai Parking","adres":"Europaboulevard 24","postcode":"1078GZ","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark Eurocenter","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8888094,52.3358123]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/eurocenter\/","urltitle":"Qpark Eurocenter ","adres":"Barbara Strozzilaan 342","postcode":"1083HN","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark Mahler","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8723915,52.3377672]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/mahler\/","urltitle":"Qpark Mahler","adres":"Claude Debussylaan 42","postcode":"1082MD","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Olympisch Stadion","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8539215,52.3440266]}","type":"CommercieleParkeergarage","url":"http:\/\/www.p1.nl\/parkeren\/parkeergarage-olympisch-stadion\/","urltitle":"P1 Parkeergarage Olympisch Stadion ","adres":"Olympisch Stadion 44","postcode":"1076DE","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Interparking Oranjekwartier Amsterdam","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.839149,52.3546448]}","type":"CommercieleParkeergarage","url":"http:\/\/www.interparking.nl\/nl-NL\/find-parking\/Oranjekwartier\/","urltitle":"Interparking Oranjekwartier Amsterdam","adres":"Carnapstraat 200","postcode":"1062KZ","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Bomengarage P2 (Boven 't IJ) ","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9388323,52.3994577]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/garage-p2bomengarage\/","urltitle":"Bekijk Bomengarage P2 op www.amsterdam.nl\/parkeergarages","adres":"Buikslotermeerplein 237","postcode":"1025 XB","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark Westergasfabriek","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8662388,52.3847072]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/westergasfabriek\/","urltitle":"Qpark Amsterdam Westergasfabriek","adres":"Van Bleiswijkstraat 8","postcode":"1051DG","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark Europarking","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8766781,52.3699218]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/europarking\/","urltitle":"Qpark Europarking","adres":"Marnixstraat 250","postcode":"1016TL","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark Byzantium","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8793897,52.3618422]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/byzantium\/","urltitle":"Qpark Amsterdam Byzantium","adres":"Tesselschadestraat 1","postcode":"1054ET","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Piet Heingarage","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9173751,52.3773883]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/parkeergarage-piet\/","urltitle":"Bekijk Piet Heingarage op www.amsterdam.nl\/parkeergarages","adres":"Piet Heinkade 59","postcode":"1019GM","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Parking Centrum Oosterdok","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9092051,52.3761913]}","type":"CommercieleParkeergarage","url":"http:\/\/www.parkingcentrumoosterdok.nl\/","urltitle":"Parking Centrum Oosterdok","adres":"Oosterdoksstraat 150","postcode":"1011AD","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Markenhoven","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.908618,52.3696328]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/garage-markenhoven\/","urltitle":"Bekijk Markenhoven op www.amsterdam.nl\/parkeergarages","adres":"Anne Frankstraat 220","postcode":"1011 MP","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"(P1) Parking Waterlooplein","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9043352,52.3689665]}","type":"CommercieleParkeergarage","url":"http:\/\/www.parkereninwaterlooplein.nl\/","urltitle":"Parkeergarage Waterlooplein ","adres":"Valkenburgerstraat 238","postcode":"1011ND","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Stadhuis - Muziektheater","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9018035,52.3670615]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/garage-stadhuis\/","urltitle":" Bekijk Stadhuis-Muziektheater op www.amsterdam.nl\/parkeergarages","adres":"Waterlooplein 28","postcode":"1011PG","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Parkeergarage Prins & Keizer","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.891798,52.3622906]}","type":"CommercieleParkeergarage","url":"http:\/\/www.apcoa.nl\/parkeren-in\/amsterdam\/apcoa-parking-prins-keizer.html","urltitle":"Apcoa Parking Prins & Keizer","adres":"Prinsengracht 927","postcode":"1017HL","woonplaats":"Amsterdam","aantal":"140","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark De Bijenkorf","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.895162,52.373881]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/de-bijenkorf\/","urltitle":"Qpark De Bijenkorf","adres":"Beursplein 15","postcode":"1012JW","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark Nieuwendijk","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8944693,52.3764423]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/nieuwendijk\/","urltitle":"Qpark Nieuwendijk","adres":"Nieuwezijds Kolk 18","postcode":"1012PV","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"(P1) Parking Amsterdam Centre","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8970068,52.3785141]}","type":"CommercieleParkeergarage","url":"http:\/\/www.p1.nl\/parkeren\/p1-parking-amsterdam-centre\/","urltitle":"P1 Parking Amsterdam Centre ","adres":"Prins Hendrikkade 20 a","postcode":"1012TL","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Parkeergarage Apcoa Heinekenplein","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8924871,52.3571537]}","type":"CommercieleParkeergarage","url":"http:\/\/www.apcoa.nl\/parkeren-in\/amsterdam\/apcoa-parking-heinekenplein.html","urltitle":"Apcoa garage Heinekenplein ","adres":"Eerste Van der Helststraat 6","postcode":"1072NV","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"Qpark Museumplein","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.8798246,52.3571347]}","type":"CommercieleParkeergarage","url":"https:\/\/www.q-park.nl\/nl-nl\/parkeren\/amsterdam\/museumplein\/","urltitle":"Qpark Museumplein ","adres":"Van Baerlestraat 33 B","postcode":"1071AP","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"P4 en P5 Villa ArenA","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9389632,52.3118578]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/","urltitle":"Bekijk P4 en P5 Villa ArenA op www.amsterdam.nl\/parkeergarages ","adres":"De entree 7","postcode":"1101BH","woonplaats":"Amsterdam","opmerkingen":""}},{"parkeerlocatie":{"title":"P4 en P5 Villa ArenA","Locatie":"{\"type\":\"Point\",\"coordinates\":[4.9389632,52.3118578]}","type":"Parkeergarage","url":"https:\/\/www.amsterdam.nl\/parkeren-verkeer\/parkeergarages\/parkeergarages\/","urltitle":"Bekijk P4 en P5 Villa ArenA op www.amsterdam.nl\/parkeergarages","adres":"De entree 7","postcode":"1101BH","woonplaats":"Amsterdam","opmerkingen":""}}
The current error message is "TypeError: string indices must be integers" but i think it should give all the titles of the parkeerlocatie.

parkeerlocaties['parkeerlocatie'] is not a list, it's a dictionary. You should use parkeerlocaties['parkeerlocaties']['title']. And the title is a string, there's no reason to iterate over it (unless you want to process it character by character for some reason).
with open('locaties.json') as json_file:
data = json.load(json_file)
for parkeerlocaties in data['parkeerlocaties']:
print('Title: ', parkeerlocaties['parkeerlocaties']['title'])

>>> type(data)
<type 'dict'>
>>> data['parkeerlocaties']
<type 'list'>
So the code could be
import urllib, json
import requests
import json
with open('locaties.json') as json_file:
data = json.load(json_file)
parkeerlocaties = data['parkeerlocaties']
for parkeerlocatie in parkeerlocaties:
print(parkeerlocatie['parkeerlocatie']['title'])

Related

Consider the following pandas dataframe:
this is an example of ingredients_text :
farine de blé 34% (france), pépites de chocolat 20g (ue) (sucre, pâte de cacao, beurre de cacao, émulsifiant lécithines (tournesol), arôme) (cacao : 44% minimum), matière grasse végétale (palme), sucre, 8,5% chocolat(sucre, pâte de cacao, cacao et cacao maigre en poudre) (cacao: 38% minimum), 5,5% éclats de noix de pécan (non ue), poudres à lever : diphosphates carbonates de sodium, blancs d’œufs, fibres d'acacia, lactose et protéines de lait, sel. dont lait.
oignon 18g oil hell: kartoffelstirke, milchzucker, maltodextrin, reismehl. 100g produkt enthalten: 1559KJ ,energie 369 kcal lt;0.5g lt;0.1g 909 fett davon gesättigte fettsāuren kohlenhydrate davon ,zucker 26g
I separated the ingredients of each line into words with the folowing code :
for i in df['ingredients_text'][:].index:
words = df["ingredients_text"][i].split(',')
df["ingredients_text"][i]=words
Any idea of how to extract the ingredients with % and g from the text in onether column called 'ingredient' ?
For instance, the desired output should be:
['farine de blé 34%', 'pépites de chocolat 20g','cacao : 44%' ,'8,5% chocolat' ,'cacao: 38%', '5,5% éclats de noix de pécan']
['oignon 18g oil hell', '100g produkt enthalten', 'lt;0.5g', 'lt;0.1g' , '26g zucker']

df = pd.DataFrame({'ingredient_text': ['a%bgC, abc, a%, cg', 'xyx']})
ingredient_text
0 a%bgC, abc, a%, cg
1 xyx
Split the ingredients into a list
df['ingredient_text'] = df['ingredient_text'].str.split(',')
ingredient_text
0 [a%bgC, abc, a%, cg]
1 [xyx]
Search for your strings in the list
df['ingredient'] = df['ingredient_text'].apply(lambda x: [s for s in x if ('%' in s) or ('g' in s)])
ingredient_text ingredient
0 [a%bgC, abc, a%, cg] [a%bgC, a%, cg]
1 [xyx] []

I am using selenium to navigate a webpage - https://gmet.edupage.org/. I have gotten to the login page entered the login details and entered the page where I wanna read the text and print it into console. There isnt any text I dont want I just want to print out only and only the visible text not the code. Unfortunately there is a lot of text so manually setting each element and printing the text out would take ages. So is there an easy function or way to print out only the readeable text with selenium?

First find the body of the page and just print out the text within it using .text
txt = driver.find_element_by_class_name('browser_chrome')
print(txt.text)
Output:
Tieto stránky používajú súbory cookie na analýzu návštevnosti stránok. Informácie o používaní našich stránok sú na tento účel zdieľané so spoločnosťou Google.
Ok
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Ako postupovať v jednotlivých prípadoch v súvislosti s COVID-19?
Riaditeľka školy zverejňuje pre rodičov, žiakov a učiteľov prehľad ako postupovať v jednotlivých prípadoch pri ochorení COVID-19
Ako postupovať v jednotlivých prípadoch (podozrenie, resp. pozitivita)?
Vyhlásenie zákonného zástupcu o bezinfekčnosti
Vyhlásenie návštevníka školy po súhlase riaditeľky školy
Informácie pre rodičov a žiakov školy
Riaditeľka školy si Vám dovoľuje oznámiť, že aktuálna situácia na škole v súvislosti s pandémiou COVID- 19 je nezmenená od začiatku školského roka, t.j. škola je v zelenej fáze semaforu. Výsledky testovaných žiakov a učiteľov na COVID-19, ktorí nastúpili na začiatku školského roka do školy, boli všetky k dnešnému dňu, 18.9.2020, negatívne.
Podrobné informácie k jednotlivým fázam a im prislúchajúcim opatreniam sú uvedené v „Manuáli pre stredné školy k úprave organizácie a podmienok výchovy a vzdelávania v stredných školách pre školský rok 2020/2021“ zverejnenom na stránke MŠVVaŠ SR na tomto linku: https://www.minedu.sk/stredne-skoly-aktualizovane-1692020/, ďalej len „Manuál“. Podmienky výchovy a vzdelávania na našej škole sú vždy plne v súlade s uvedeným dokumentom, aj po jeho aktualizáciách.
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Ukáž sa! Pomôž Eliške získať grant.
Podpor svojim hlasom Elišku Klepkovú zo Septimy A, ktorá je vynikajúca atlétka, výborná žiačka, držiteľka strieborného odznaku DofE.
Bližšie informácie o Eliške a spôsobe hlasovania nájdeš na stránke:
https://www.olympic.sk/ukazsa/eliska-klepkova.
Hlasovať môžeš každý deň do 27.9.2020.
Začiatok školského roka 2020/2021
Vyučovanie začína dňa 2.9.2020.
V tento deň majú žiaci vyučovanie od 8:00 hod. do 9:30 hod. (V tento deň sa obedy v školskej jedálni nevydávajú).
Vstup žiakov do školy je od 7:00 hod. do 8:00 hod. do budovy na Metodovej aj Jelačičovej z ulice aj z dvora, celkovo cez štyri vstupy. Prichádzať môžu priebežne. Pri každom vchode bude pedagogický dozor koordinovať vstup žiakov.
Odporúčame žiakom, aby sa nezdržiavali v priestoroch pred budovami školy a dodržiavali dvojmetrové rozostupy.
Z dôvodu dodržiavania protiepidemických opatrení a odporúčaní Ministerstva školstva, vedy, výskumu a športu SR zákonný zástupca:
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OZNAM
Úradné hodiny počas prázdnin
v termíne od 13. 07. 2020 do 21. 08. 2020
sú každú stredu od 9.00 h do 12.00 h.
Ing. Zuzana Vaterková
riaditeľka školy
Informácia pre uchádzačov o štúdium na 8GYM
Všetkým uchádzačom o 8-ročné štúdium oznamujeme, že ku dňu 7.7.2020 sú všetky miesta na prijatie obsadené na 100%.
Ing. Zuzana Vaterková, riaditeľka školy
Kontakt
GYMNÁZIUM
Metodova 2
821 08 BRATISLAVA
+421 2 50 10 24 11
Fotogaléria

This question already has answers here:
How do I split a list into equally-sized chunks?
(66 answers)
Closed 2 years ago.
I have string and I will do split for this string and then I will get 320 elements. I need to create 4 groups. Every group will be with 100 elements and the last group must be with 20 last elements. And the last step is that all groups must be string and not list. how can I do that?
I can do that if I know how many elements I have:
s_l = 'AA AAL AAOI ACLS ADT ADTX ADVM AEL AIG ALEC ALLY ALT AMCX ANGI APA APDN APLS APPS APRN AQUA ARMK ARNC ARVN ATNM ATOM ATRA ATSG AVCT AVT AX AXDX BCLI BE BEAM BJRI BKE BKU BLDR BLNK BMRA BOOT BXS BYD CAKE CALX CAPR CARG CARR CARV CATM CC CCL CELH CEQP CFG CHEF CHRS CIT CLDX CLR CLSK CNK CNST CODX COLB COOP CPE CRS CTVA CUK CVET CVI CVM CYTK DAL DBX DCP DDS DEI DISCA DISCK DK DNB DRNA DVAX DXC ECOM EIGR ELAN ELF ELY ENVA EQ EQT EXEL FE FHI FIXX FL FLWS FMCI FORM FOX FOXA FRTA FUN GBX GIII GM GNMK GOCO GPRE GRAF GRPN GRWG GTHX GWB HALO HCC HCSG HEAR HFC HGV HIBB HMSY HOG HOME HP HSC HTH HWC IMUX IMVT INO INOV INSG INSM INT IOVA IRDM ITCI JELD JWN KMT KODK KPTI KSS KTB KTOS KURA LAKE LB LCA LL LPI LPRO LSCC LYFT MAXR MBOT MCRB MCS MD MDP MGM MGNX MIC MLHR MOS MRSN MTOR MXL MYGN NCLH NCR NK NKTR NLS NMIH NOVA NTLA NTNX NUAN NVST NXTC ODP OFC OKE OMER OMF OMI ONEM OSPN OSUR OXY OZK PACW PD PDCE PDCO PEAK PGNY PLAY PLCE PLT PLUG PPBI PRPL PRTS PRVB PS PSNL PSTX PSXP PTGX PVAC RCUS REAL REZI RKT RMBL RPAY RRGB RRR RVLV RVP RXN SANM SAVE SBGI SC SCPL SEAS SEM SFIX SFM SGMS SGRY SHLL SHOO SHYF SIX SKX SLQT SMCI SNAP SNDX SNV SONO SPAQ SPCE SPR SPWH SPWR SRG SRNE SSNT SSSS STOR SUM SUN SUPN SVMK SWBI SYF SYRS TBIO TCDA TCF TCRR TDC TEX TFFP TGTX THC TMHC TRGP TRIP TSE TUP TVTY UBX UCBI UCTT UFS UNFI UONE UPWK URBN USFD VCRA VERI VIAC VIRT VIVO VREX VSLR VSTO VXRT WAFD WBS WFC WHD WIFI WKHS WORK WORX WRK WRTC WW WWW WYND XEC XENT XPER XRX YELP ZGNX ZUMZ ZYXI'
split_s_l = s_l.split(" ")
part_1 = ' '.join(split_s_l[:100])
part_2 = ' '.join(split_s_l[100:200])
part_3 = ' '.join(split_s_l[200:300])
part_4 = ' '.join(split_s_l[300:])
for part in (part_1, part_2, part_3, part_4):
print(part)
but I don't know how to do that If I have many elements in list.

For a variable number of items, you can loop using:
sep = ' '
num = 100
split_s_l = s_l.split(sep)
for i in range(0, len(split_s_l), num):
part = sep.join(split_s_l[i : i+num])
print(part)
Bear in mind that for the last slice in the example case ([300:400]) it does not matter that there are only 320 elements -- just the last 20 items will be included (no error).

Something like this?
def break_up(s, nwords, separator):
words = s.split()
return [separator.join(words[n:n+nwords]) for n in range(0, len(words), nwords)]
print(break_up('a b c d e f g h', 3, ' '))
Result:
['a b c', 'd e f', 'g h']
Of course, you might call as print(break_up(s_l, 100, ' '))

Below
s_l = 'AA AAL AAOI ACLS ADT ADTX ADVM AEL AIG ALEC ALLY ALT AMCX ANGI APA APDN APLS APPS APRN AQUA ARMK ARNC ARVN ATNM ATOM ATRA ATSG AVCT AVT AX AXDX BCLI BE BEAM BJRI BKE BKU BLDR BLNK BMRA BOOT BXS BYD CAKE CALX CAPR CARG CARR CARV CATM CC CCL CELH CEQP CFG CHEF CHRS CIT CLDX CLR CLSK CNK CNST CODX COLB COOP CPE CRS CTVA CUK CVET CVI CVM CYTK DAL DBX DCP DDS DEI DISCA DISCK DK DNB DRNA DVAX DXC ECOM EIGR ELAN ELF ELY ENVA EQ EQT EXEL FE FHI FIXX FL FLWS FMCI FORM FOX FOXA FRTA FUN GBX GIII GM GNMK GOCO GPRE GRAF GRPN GRWG GTHX GWB HALO HCC HCSG HEAR HFC HGV HIBB HMSY HOG HOME HP HSC HTH HWC IMUX IMVT INO INOV INSG INSM INT IOVA IRDM ITCI JELD JWN KMT KODK KPTI KSS KTB KTOS KURA LAKE LB LCA LL LPI LPRO LSCC LYFT MAXR MBOT MCRB MCS MD MDP MGM MGNX MIC MLHR MOS MRSN MTOR MXL MYGN NCLH NCR NK NKTR NLS NMIH NOVA NTLA NTNX NUAN NVST NXTC ODP OFC OKE OMER OMF OMI ONEM OSPN OSUR OXY OZK PACW PD PDCE PDCO PEAK PGNY PLAY PLCE PLT PLUG PPBI PRPL PRTS PRVB PS PSNL PSTX PSXP PTGX PVAC RCUS REAL REZI RKT RMBL RPAY RRGB RRR RVLV RVP RXN SANM SAVE SBGI SC SCPL SEAS SEM SFIX SFM SGMS SGRY SHLL SHOO SHYF SIX SKX SLQT SMCI SNAP SNDX SNV SONO SPAQ SPCE SPR SPWH SPWR SRG SRNE SSNT SSSS STOR SUM SUN SUPN SVMK SWBI SYF SYRS TBIO TCDA TCF TCRR TDC TEX TFFP TGTX THC TMHC TRGP TRIP TSE TUP TVTY UBX UCBI UCTT UFS UNFI UONE UPWK URBN USFD VCRA VERI VIAC VIRT VIVO VREX VSLR VSTO VXRT WAFD WBS WFC WHD WIFI WKHS WORK WORX WRK WRTC WW WWW WYND XEC XENT XPER XRX YELP ZGNX ZUMZ ZYXI'
words= s_l.split(" ")
num_of_100_groups = int(len(words) / 100)
groups = []
for i in range(0,num_of_100_groups):
groups.append(words[i * 100 : (i+1) * 100])
groups.append(words[num_of_100_groups * 100:])
for sub_group in groups:
print(' '.join(sub_group))

Suppose My first json file data is like this.
{"derivedFrom": "1e21781bfc33ae80e074369165368080", "text": "PAKIS RAPE KIDS: Mexico police in college raids: Vehicles are set ablaze and more than 120 peo... #Ewok_League #edl"}
{"derivedFrom": "1e26ebbfbfaea600e0746a3016b628a8", "text": "Bullfighting sparks animal rights protests in Mexico - video - The Guardian "}
and second JSON file data is like this
{"derivedFrom": "1e21292e9b4ca680e074bd999ef8cc3a","text": "#TheArkham No crea que me olvido de los amigos,espero todo este marchando bien, un abrazo."}
{"derivedFrom": "1e2602635130a980e0744bad1c470046", "text": "Avisale al IFE Que #SiDragonBallFueraMexicano Le hubiera dado a Noe Hernandez Semillas Del Ermita\u00f1o (ESO HUBIERA SIDO ESTUPENDO. QEPD)"}
My ultimate goal is to merge both the JSON file's text data only by appending "1," in the first file and "0," in the second file.
I wrote the script like this but I'm sure I cannot do in this way in Python.
import json
positiveFile = open('train_posi_tweets_2017.txt')
negativeFile = open('train_nega_tweets_2017.txt')
for linePos,lineNeg in positiveFile,negativeFile:
distros_dictPos=json.loads(linePos)
distros_dictNeg=json.loads(lineNeg)
distros_dictPosVal = distros_dict['text'].encode('utf-8')
distros_dictNegVal = distros_dict['text'].encode('utf-8')
print distros_dictNegVal
So the final output should be like this.
1,"PAKIS RAPE KIDS: Mexico police in college raids: Vehicles are set ablaze and more than 120 peo... #Ewok_League #edl"
1,"Bullfighting sparks animal rights protests in Mexico - video - The Guardian "
0,"#TheArkham No crea que me olvido de los amigos,espero todo este marchando bien, un abrazo."
0,"Avisale al IFE Que #SiDragonBallFueraMexicano Le hubiera dado a Noe Hernandez Semillas Del Ermita\u00f1o (ESO HUBIERA SIDO ESTUPENDO. QEPD)

import json
positiveFile = open('test1.txt')
negativeFile = open('test2.txt')
for linePos,lineNeg in positiveFile,negativeFile:
print(1, json.loads(linePos)['text'].encode('utf-8'))
print(0, json.loads(lineNeg)['text'].encode('utf-8'))
Output
1 b'PAKIS RAPE KIDS: Mexico police in college raids: Vehicles are set ablaze and more than 120 peo... #Ewok_League #edl'
0 b'Bullfighting sparks animal rights protests in Mexico - video - The Guardian '
1 b'#TheArkham No crea que me olvido de los amigos,espero todo este marchando bien, un abrazo.'
0 b'Avisale al IFE Que #SiDragonBallFueraMexicano Le hubiera dado a Noe Hernandez Semillas Del Ermita\xc3\xb1o (ESO HUBIERA SIDO ESTUPENDO. QEPD)'
the output is
0
1
0
1
or you want to be first of all 1 and after this 0 ?

I have millions of sentence fragments and I am trying to determine if each is in English, French, Japanese, or Germ. Is there a python program to do this?
s1 = 'This is where lies a person'
s2 = 'ボウリング・フォー・コロンバイン(字幕版)'
s3 = 'Ep. 2448 : épisode du 12 mars 2014 (Plus belle la vie, Saison 10, Vol. 6)
language_of_string(s1) ==> EN
language_of_string(s2) ==> JP
language_of_string(s3) ==> FR

try langid with source code
https://github.com/saffsd/langid.py
>>> import langid
>>> langid.classify("This is a test")
('en', 0.99999999099035441)

guess_language
s1 = 'This is where lies a person'
s2 = 'ボウリング・フォー・コロンバイン(字幕版)'
s3 = 'Ep. 2448 : épisode du 12 mars 2014 (Plus belle la vie, Saison 10, Vol. 6)'
import guess_language
print guess_language.guessLanguage(s1)
print guess_language.guessLanguage(s2)
print guess_language.guessLanguage(s3)
en
ja
fr