Hi I am new on Python and pandas. So please excuse my mistakes.
I want to know if it's possible to use a dataframe and sort it with pandas.
I'm still in class, but I'd like to advance in my projects.
I want / I'd like to extract part of the JSON file.
I want all the system_name =Métro de Paris to be in a JSON file.
Following are the current code I have (JSON and script).
Thanks in advance for your help!
import pandas as pd
# parse according to "system_name":"Métro de Paris"
data = pd.read_json(r'paris_lines_systems_and_modes.json')
[{"id":406,"name":"Ancien M 2nord","url_name":"406-ancien-m-2nord","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":405,"name":"Ancien M 2sud","url_name":"405-ancien-m-2sud","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":399,"name":"Ancien M 14","url_name":"399-ancien-m-14","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":460,"name":"Ancienne ligne A Nord-Sud","url_name":"460-ancienne-ligne-a-nord-sud","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":459,"name":"Ancienne ligne B Nord-Sud","url_name":"459-ancienne-ligne-b-nord-sud","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":411,"name":"Austerlitz-Auteuil","url_name":"411-austerlitz-auteuil","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":471,"name":"CDG Express","url_name":"471-cdgexpress","color":"#f0871f","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":7,"transport_mode_name":"people_mover"},{"id":465,"name":"CDGVal 1","url_name":"465-cdgval-1","color":"#0a3071","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":7,"transport_mode_name":"people_mover"},{"id":466,"name":"CDGVal 2","url_name":"466-cdgval-2","color":"#0a3071","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":7,"transport_mode_name":"people_mover"},{"id":410,"name":"Charenton-Auteuil","url_name":"410-charenton-auteuil","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":407,"name":"Funiculaire de Monmartre","url_name":"407-funiculaire","color":"#601e92","system_id":302,"system_name":"Funiculaire","transport_mode_id":0,"transport_mode_name":"default"},{"id":381,"name":"H","url_name":"381-h","color":"#7b4339","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":382,"name":"J","url_name":"382-j","color":"#cdcd00","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":383,"name":"K","url_name":"383-k","color":"#c7b300","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":384,"name":"L","url_name":"384-l","color":"#7584bc","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":472,"name":"Le Bus Direct 1","url_name":"472-le-bus-direct-1","color":"#b20066","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":473,"name":"Le Bus Direct 2","url_name":"473-le-bus-direct-2","color":"#7bbb58","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":474,"name":"Le Bus Direct 3","url_name":"474-le-bus-direct-3","color":"#0098d8","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":475,"name":"Le Bus Direct 4","url_name":"475-le-bus-direct-4","color":"#ff9b00","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":412,"name":" Le Louvre-Ablon","url_name":"412-le-louvre-ablon","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":643,"name":"Ligne 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9","url_name":"361-ligne-9","color":"#cdc92b","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":362,"name":"M 10","url_name":"362-ligne-10","color":"#dfb03a","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":363,"name":"M 11","url_name":"363-ligne-11","color":"#8c6539","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":364,"name":"M 12","url_name":"364-ligne-12","color":"#008c59","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":365,"name":"M 13","url_name":"365-ligne-13","color":"#87d2df","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":366,"name":"M 14","url_name":"366-ligne-14","color":"#662c91","system_id":83,"system_name":"Métro de 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So I managed to find how do extract part of the data you want to use / analyse.
You should simply call the column you are trying to extract (in my case system_name) and give its value (in my case "Métro de Paris"). Here The dataframe, data, will now have the data with value "Métro de Paris" form the column "system_name".
data = data[data.system_name == "Métro de Paris"]
I am trying to decode this string with python by using the JSON module but I keep getting this error I do not know what is the problem I will appreciate any help with this
here is my code
print(json.loads(data))
i get this error raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 1 column 38284 (char 38283)
here is the string
data = "{"config":{"csrf_token":"C32Czt1OaAEPfa0yfnexUwIfpRisDbEn","viewer":null,"viewerId":null},"country_code":"AE","language_code":"en","locale":"en_US","entry_data":{"ProfilePage":[{"logging_page_id":"profilePage_501391458","show_suggested_profiles":false,"show_follow_dialog":false,"graphql":{"user":{"biography":"AMEM, sem acento pra amar mais. \n\ud83d\udce9 brendamoniiique#gmail.com \n\ud83d\udcf7\ud83c\udfad\nSnap: brendamoniiique \ud83d\udc7b\nTwitter: brenndamonique \nSe inscreva no canal!\nV\u00eddeo novo \u2b07\ufe0f","blocked_by_viewer":false,"country_block":false,"external_url":"https://m.youtube.com/watch?v=rbQXKj8fgY4","external_url_linkshimmed":"https://l.instagram.com/?u=https%3A%2F%2Fm.youtube.com%2Fwatch%3Fv%3DrbQXKj8fgY4\u0026e=ATNF-ClUCsPTnGqme96AMWs934pGkHIP89zemVqEdVXLGs1DCPVyGA0_OkiLhLCwGDnk7nyP","edge_followed_by":{"count":513368},"followed_by_viewer":false,"edge_follow":{"count":610},"follows_viewer":false,"full_name":"Brenda Monique","has_channel":false,"has_blocked_viewer":false,"highlight_reel_count":4,"has_requested_viewer":false,"id":"501391458","is_business_account":true,"is_joined_recently":false,"business_category_name":"Creators \u0026 Celebrities","is_private":false,"is_verified":false,"edge_mutual_followed_by":{"count":0,"edges":[]},"profile_pic_url":"https://instagram.fauh1-1.fna.fbcdn.net/vp/c2f9a7480743127046dd6d77bd4d0616/5E341F01/t51.2885-19/s150x150/70377448_2518104848237245_4413369807659859968_n.jpg?_nc_ht=instagram.fauh1-1.fna.fbcdn.net","profile_pic_url_hd":"https://instagram.fauh1-1.fna.fbcdn.net/vp/9c2092522304ee52cd557e4ba41b96da/5E31A379/t51.2885-19/s320x320/70377448_2518104848237245_4413369807659859968_n.jpg?_nc_ht=instagram.fauh1-1.fna.fbcdn.net","requested_by_viewer":false,"username":"brenda","connected_fb_page":null,"edge_felix_video_timeline":{"count":2,"page_info":{"has_next_page":false,"end_cursor":null},"edges":[{"node":{"__typename":"GraphVideo","id":"2101210976602167456","edge_media_to_caption":{"edges":[{"node":{"text":"Mais medo do que dor.\nM\u00e3os de fada #fabipiercerr\n#brazillianinktattoo\nDesculpa por quebrar sua m\u00e3o amigo! 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Your string is not a valid JSON, it is missing many closing brackets. You can use a JSON validator online such as https://jsonformatter.curiousconcept.com that will show you all the errors.
To be more specific add ]}}]}}}}]}} at the end of your string and you are good to go.