how to create groups from string? [duplicate]

how to create groups from string? [duplicate] - python

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))

Related

how to retrieve sector and industry for a list of tickers with python?

I have a list of tickers (below: tick1) that comes from the Earnings Report.
I would like to add the "shortname", "sector" and the "industry" next to the ticker while creating a dataframe.
Unfortunately, the columns are always shuffeling up a bit and they are not matched properly. for instance: VFC --> sector: technology; industry: Semiconductors, which is wrong. It should be sector: Consumer Cyclical; industry: Apparel Manufacturing
Here is my code below: can you please help to adjust it?
---tickers to be read---
import yfinance as yf
with open("/Users/Doc/AB/Earnings/tickers.txt") as fh:
tick1 = fh.read().split()
tickers in txt file
ABOS
ACRX
ADI
ADMP
ADOCY
AER
AGYS
AINV
ALBO
ALLT
AMAT
AMPS
AOZOY
ARCO
AREC
ARZGY
ATAI
AUTO
AVAL
AXDX
BAH
BBAR
BBWI
BHIL
BJ
BKYI
BLBX
BPCGY
BPTH
BRDS
BZFD
CAAP
CAE
CALT
CCHWF
CCSI
CELC
CFRHF
CGEN
CINT
CLSN
CMRX
CRLBF
CRXT
CSCO
CSWI
CVSI
CWBHF
CWBR
DAC
DADA
DE
DECK
DESP
DLO
DOYU
DTST
DUOT
EAST
EBR
EBR.B
EDAP
ENJY
EVTV
EXP
FATH
FL
FLO
FSI
FTK
FUV
FXLV
GAN
GBOX
GDS
GLBE
GLOB
GNLN
GOED
GOGL
GRAB
GRAMF
GRCL
HD
HOOK
HPK
HUYA
HWKN
HYRE
IBEX
IGIC
IKT
IMPL
INLB
INLX
INVO
IONM
IONQ
IPW
IPWR
ISUN
ITCTY
JBI
JD
JHX
JMIA
KALA
KBNT
KEYS
KMDA
KORE
KSLLF
KSS
KULR
LOW
LTRY
LUNA
LVLU
MARK
MBT
MCG
MCLD
MDWD
MDWT
MIGI
MIRO
MNDY
MNMD
MNRO
MSADY
MSGM
MUFG
MVST
NEXCF
NGS
NNOX
NOVN
NRDY
NRGV
NU
NXGN
OBSV
OEG
OMQS
ONON
PANW
PASG
PCYG
PEAR
PLNHF
PLX
PTE
PTN
PXS
QIPT
QRHC
QTEK
QUIK
RCRT
RDY
REE
REED
REKR
RKLB
RMED
RMTI
ROST
RSKD
RYAAY
SANW
SCVL
SDIG
SE
SHLS
SHPW
SHWZ
SLGG
SNPS
SPRO
SQM
SRAD
SSYS
SUNL
SUNW
SUPV
SYN
SYRS
TCEHY
TCRT
TCS
TGI
TGT
THBRF
TJX
TKOMY
TLLTF
TME
TRMR
TSEM
TSHA
TTWO
TXMD
USWS
VBLT
VERB
VEV
VFC
VIPS
VJET
VOXX
VTRU
VVOS
VWE
VYGVF
VYNT
WEBR
WEDXF
WEJO
WIX
WMS
WMT
WRBY
WYY
YALA
YOU
ZIM
---adding the shortname, sector, industry ---
from yahooquery import Ticker
import pandas as pd
symbols = tick1
tickers = Ticker(symbols, asynchronous=True)
datasi = tickers.get_modules("summaryProfile quoteType")
dfsi = pd.DataFrame.from_dict(datasi).T
dataframes = [pd.json_normalize([x for x in dfsi[module] if isinstance(x, dict)]) for
module in ['summaryProfile', 'quoteType']]
dfsi = pd.concat(dataframes, axis=1)
dfsi

import pandas as pd
from yahooquery import Ticker
symbols = ['TSHA', 'GRAMF', 'VFC', 'ABOS', 'INLX', 'INVO', 'IONM', 'IONQ']
tickers = Ticker(symbols, asynchronous=True)
datasi = tickers.get_modules("summaryProfile quoteType")
dfsi = pd.DataFrame.from_dict(datasi).T
dataframes = [pd.json_normalize([x for x in dfsi[module] if isinstance(x, dict)]) for
module in ['summaryProfile', 'quoteType']]
dfsi = pd.concat(dataframes, axis=1)
dfsi = dfsi.set_index('symbol')
dfsi = dfsi.loc[symbols]
print(dfsi[['industry', 'sector']])
Output
industry sector
symbol
TSHA Biotechnology Healthcare
GRAMF Drug Manufacturers—Specialty & Generic Healthcare
VFC Apparel Manufacturing Consumer Cyclical
ABOS Biotechnology Healthcare
INLX Software—Application Technology
INVO Medical Devices Healthcare
IONM Medical Care Facilities Healthcare
IONQ Computer Hardware Technology
Try the following. Set the column'symbol' as indexes.
And send it to the ticker list. Again, you need to check.
I have run the ticker 'VFC' several times: VFC industry---Apparel Manufacturing, sector---Consumer Cyclical.

Problems in trying to decode through statistics

My goal is to decode a message with the statistics of letters occurrence in the French language. For that, I created a first function which creates a string in decreasing order of occurrence in the text. Then, I match the index of the characters and I change each character with the one corresponding to the French language. The problem is that the text comes out unchanged in the console. I am a beginner in programming and any help on my mistakes or inaccuracies are appreciated. Thanks !!!
import string
texte = f"""iwnspa rynjjdj arg sj hjuajhask awaigkhihaj ag sj ongyaonghihaj ps vvha rhaiwa, rdsqajg idjrhpaka
idooa wa xaka pa wn gyadkha pa w’hjbdkonghdj. hw arg ja wa 30 nqkhw 1916 n xagdrlaf, pnjr wa
ohiyhunj. rdj xaka arg sj csua, ag rn oaka arg wa xkdqhrask ps wfiaa pa unfwdkp, sja nsgka qhwwa
ps ohiyhunj. hw agspha n w’sjhqakrhga ps ohiyhunj ds hw rshg sj pdszwa iskrsr aj awaigkhihga
ag aj ongyaonghmsar. hw dzghajg sja whiajia pnjr iar pasv phrihxwhjar aj 1936, nqnjg pa xdskrshqka
rar agspar ns kaxsga ohg (onrrniysraggr hjrghgsga db gaiyjdwduf ). hw rdsghajg aj 1940 sja
gyara pa pdigdkng aj ongyaonghmsar (awwa xdkgnhg rsk par nxxwhinghdjr par ongyaonghmsar n
wn uajaghmsa) ag sj oaodhka pa onrgak aj awaigkhihga. rh wn xkaohaka bsg wnkuaoajg hujdkaa,
wn raidjpa,msh avxwhmsa idooajg sghwhrak war nwuazkar pa zddwa xdsk w’njnwfra par rhujnsv
awaigkhmsar, arg kargaa iawazka. aj 1941, hw arg aoznsiya pnjr war wnzdkngdhkar pa wn idoxnujha
pa gawaxydja ngg zaww. hooaphngaoajg, hw gknqnhwwa rsk par xkdcagr aj whnhrdj nqai war
rakqhiar raikagr, msh wsh bdjg jdgnooajg nzdkpak par msarghdjr pa ikfxgduknxyha. aj 1949, hw
ra onkha; xnk wn rshga, hw nskn gkdhr ajbnjgr. rynjjdj gknqnhwwa nsv wnzdkngdhkar pa zaww
csrms’aj 1971. xnknwwawaoajg n iawn, hw arg nsrrh xkdbarrask ns ohg pa 1958 n 1978. rynjjdj
idoxkajpmsa gdsga pdjjaa, oaoa wn qdhv ds par honuar, xasg ra gknjroaggka n w’nhpa p’sja rshga
pa 0 ag pa 1 (war zhgr), dsqknjg wn qdha nsv idoosjhinghdjr jsoakhmsar ag jdj xwsr njnwduhmsar.
hw odjgka nsrrh idooajg wa bnhg p’ncdsgak iakgnhjr zhgr n sj oarrnua xasg xakoaggka pa qakhbhak
msa war nsgkar djg aga idkkaigaoajg gknjrohr (dj xnkwa pa idpa idkkaigask p’akkaskr). hw n
kais pa jdozkasv ydjjaskr, pdjg wn oapnhwwa jnghdjnwa par rihajiar par onhjr ps xkarhpajg cdyjrdj
aj 1966, ag wa xkhv lfdgd aj 1985. n wn bhj pa rn qha, hw rdsbbka pa wn onwnpha p’nwtyahoak,
ia msh wa idjpshg pnjr sja onhrdj pa kaxdr ps onrrniysraggr. hw f paiapa wa 24 baqkhak 2001, n
w’nua pa 84 njr."""
def count(texte):
ordre_txt = {}
order = ""
texte.lower()
alfb = list(string.ascii_lowercase)
for i in range(len(alfb)):
ordre_txt[alfb[i]] = texte.count(alfb[i])
ordre_txt = sorted(ordre_txt.items(), key = lambda x: x[1], reverse = True)
for elt in ordre_txt:
order += elt[0]
return order
def trad2(texte):
ordre_fr = 'esaitnruolhdcgmpvfqbjxzykw'
ordre_txt = count(texte)
for i in range(26):
texte.replace(ordre_txt[i], ordre_fr[i])
return texte
print(trad2(texte))

str.lower()
Return a copy of the string with all the cased characters converted to lowercase. So use texte = texte.lower() instead of texte.lower() at the 3rd line in def count(texte):.
Apply str.translate(table) in def trad2(texte): e.g. as follows:
def trad2(texte):
ordre_fr = 'esaitnruolhdcgmpvfqbjxzykw'
ordre_txt = count(texte)
tr_table = str.maketrans(ordre_txt, ordre_fr)
return texte.translate(tr_table)
Note the str.maketrans() static method (returns a translation table usable for str.translate())…If there are two arguments, they must be strings of equal length, and in the resulting dictionary, each character in x will be mapped to the character at the same position in y.

Normalization words for sentiment analysis

I'm currently doing sentiment analysis and having a problem.
I have a big normalization for word and I want to normalization text before tokenize like this example:
data
normal
kamu knp sayang
kamu kenapa sayang
drpd sedih mending belajar
dari pada sedih mending belajar
dmna sekarang
di mana sekarang
knp: kenapa
drpd: dari pada
dmna: di mana
This is my code:
import pandas as pd
slang = pd.DataFrame({'before': ['knp', 'dmna', 'drpd'], 'after': ['kenapa', 'di mana', 'dari pada']})
df = pd.DataFrame({'data': ['kamu knp sayang', 'drpd sedih mending bermain']})
normalisasi = {}
for index, row in slang.iterrows():
if row[0] not in normalisasi:
normalisasi[row[0]] = row[1]
def normalized_term(document):
return [normalisasi[term] if term in normalisasi else term for term in document]
df['normal'] = df['data'].apply(normalized_term)
df
But, the result like this:
result
I want the result like the example table.

There is a utility named str.replace in pandas that allows us to replace a substring with another or even find/replace patterns. You can find full documentation here. Your desired output would have appeared like this:
UPDATE
There were two things wrong with the answer:
You must only replace in whole word mode, not subword
After each entry in the slang file you must keep the changes not discard them
So it would be like this:
import pandas as pd
df = pd.read_excel('data bersih.xlsx')
slang = pd.read_excel('slang.xlsx')
df['normal'] = df.text
for idx, row in slang.iterrows():
df['normal'] = df.normal.str.replace(r"\b"+row['before']+r"\b", row['after'], regex=True)
output:
text \
0 hari ini udh mulai ppkm yaa
1 mohon info apakah pgs pasar turi selama ppkm b...
2 di rumah aja soalnya lagi ppkm entah bakal nga...
3 pangkal penanganan pandemi di indonesia yang t...
4 ppkm mikro anjingggggggg
... ...
9808 drpd nonton sinetron mending bagi duit kayak g...
9809 ppkm pelan pelan kalau masukin
9810 masih ada kepala desa camat bahkan kepala daer...
9811 aku suka ppkm tapi tanpa pp di depannya
9812 menteri ini perlu tidak dibayarkan gajinya set...
normal
0 hari ini sudah mulai ppkm yaa
1 mohon informasi apakah pgs pasar turi selama p...
2 di rumah saja soalnya lagi ppkm entah bakal se...
3 pangkal penanganan pandemi di indonesia yang t...
4 ppkm mikro anjingggggggg
... ...
9808 dari pada nonton sinema elektronik lebih baik ...
9809 ppkm pelan pelan kalau masukkan
9810 masih ada kepala desa camat bahkan kepala daer...
9811 aku suka ppkm tapi tanpa pulang pergi di depannya
9812 menteri ini perlu tidak dibayarkan gajinya set...
[9813 rows x 2 columns]

Python error: string indices must be integers

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'])

Python file parsing, can't catch strings in new line

So Parsing a large text file with 56,900 book titles with authors and a etext no.
Trying to find the authors. By parsing the file.
The file is a like this:
TITLE and AUTHOR ETEXT NO.
Aspects of plant life; with special reference to the British flora,      56900
by Robert Lloyd Praeger
The Vicar of Morwenstow, by Sabine Baring-Gould 56899
[Subtitle: Being a Life of Robert Stephen Hawker, M.A.]
Raamatun tutkisteluja IV, mennessä Charles T. Russell 56898
[Subtitle: Harmagedonin taistelu]
[Language: Finnish]
Raamatun tutkisteluja III, mennessä Charles T. Russell 56897
[Subtitle: Tulkoon valtakuntasi]
[Language: Finnish]
Tom Thatcher's Fortune, by Horatio Alger, Jr. 56896
A Yankee Flier in the Far East, by Al Avery 56895
and George Rutherford Montgomery
[Illustrator: Paul Laune]
Nancy Brandon's Mystery, by Lillian Garis 56894
Nervous Ills, by Boris Sidis 56893
[Subtitle: Their Cause and Cure]
Pensées sans langage, par Francis Picabia 56892
[Language: French]
Helon's Pilgrimage to Jerusalem, Volume 2 of 2, by Frederick Strauss 56891
[Subtitle: A picture of Judaism, in the century
which preceded the advent of our Savior]
Fra Tommaso Campanella, Vol. 1, di Luigi Amabile 56890
[Subtitle: la sua congiura, i suoi processi e la sua pazzia]
[Language: Italian]
The Blue Star, by Fletcher Pratt 56889
Importanza e risultati degli incrociamenti in avicoltura, 56888
di Teodoro Pascal
[Language: Italian]
The Junior Classics, Volume 3: Tales from Greece and Rome, by Various 56887
~ ~ ~ ~ Posting Dates for the below eBooks: 1 Mar 2018 to 31 Mar 2018 ~ ~ ~ ~
TITLE and AUTHOR ETEXT NO.
The American Missionary, Volume 41, No. 1, January, 1887, by Various 56886
Morganin miljoonat, mennessä Sven Elvestad 56885
[Author a.k.a. Stein Riverton]
[Subtitle: Salapoliisiromaani]
[Language: Finnish]
"Trip to the Sunny South" in March, 1885, by L. S. D 56884
Balaam and His Master, by Joel Chandler Harris 56883
[Subtitle: and Other Sketches and Stories]
Susien saaliina, mennessä Jack London 56882
[Language: Finnish]
Forged Egyptian Antiquities, by T. G. Wakeling 56881
The Secret Doctrine, Vol. 3 of 4, by Helena Petrovna Blavatsky 56880
[Subtitle: Third Edition]
No Posting 56879
Author name usually starts after "by" or when there is no "by" in line then author name starts after a comma ","...However the "," can be a part of the title if the line has a by.
So, I parsed it for by first then for comma.
Here is what I tried:
def search_by_author():
fhand = open('GUTINDEX.ALL')
print("Search by Author:")
for line in fhand:
if not line.startswith(" [") and not line.startswith("TITLE"):
if not line.startswith("~"):
words = line.rstrip()
words = line.lstrip()
words = words[:-6]
if ", by" in words:
words = words[words.find(', by'):]
words = words[5:]
print (words)
else:
words = words[words.find(', '):]
words = words[5:]
if "," in words:
words = words[words.find(', '):]
if words.startswith(','):
words =words[words.find(','):]
print (words)
else:
print (words)
else:
print (words)
if " by" in words:
words = words[words.find('by')]
print(words)
search_by_author()
However it can't seem to find the author name for lines like
Aspects of plant life; with special reference to the British flora,      56900
by Robert Lloyd Praeger

As per your file, info about a book can be spread across multiple lines. There is a blank line after each book info. I used that to gather all info about a book and then parse it to get the author info.
import re
def search_by_author():
fhand = open('GUTINDEX.ALL')
book_info = ''
for line in fhand:
line = line.rstrip()
if (line.startswith('TITLE') or line.startswith('~')):
continue
if (len(line) == 0):
# remove info in square bracket from book_info
book_info = re.sub(r'\[.*$', '', book_info)
if ('by ' in book_info):
tokens = book_info.split('by ')
else:
tokens = book_info.split(',')
if (len(tokens) > 1):
authors = tokens[-1].strip()
print(authors)
book_info = ''
else:
# remove ETEXT NO. from line
line = re.sub(r'\d+$', '', line)
book_info += ' ' + line.rstrip()
search_by_author()
Output:
Robert Lloyd Praeger
Sabine Baring-Gould
mennessä Charles T. Russell
mennessä Charles T. Russell
Horatio Alger, Jr.
Al Avery and George Rutherford Montgomery
Lillian Garis
Boris Sidis
par Francis Picabia
Frederick Strauss
di Luigi Amabile
Fletcher Pratt
di Teodoro Pascal
Various
Various
mennessä Sven Elvestad
L. S. D
Joel Chandler Harris
mennessä Jack London
T. G. Wakeling
Helena Petrovna Blavatsky

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