Why is it the scraping process generating duplicates?












1















When i print df_goalie_per.head() I can see that I have duplicates for some reason, don't understand why, any suggestions?



I also checked the other DataFrames, and found that ONLY the df_goalie_
dataframes are affected by this. Does this have to do with the looping?
Tried changing the looping order but didn't get any success.



Code is below:



#Importing Libraries 
import numpy as np
import pandas as pd
import requests
import json
from sklearn import preprocessing
from sklearn.preprocessing import OneHotEncoder


#Create Empty lists
player_id = {}
goalie_id = {}

person =
position =
skaterstats =

goalie_person=
goalie_position=
goalie_stats=

team =
team_goals =
matchid =

#Connect to NHL-API
for game_id in range(2017020001, 2017020002, 1):
url = 'https://statsapi.web.nhl.com/api/v1/game/{}/feed/live'.format(game_id)
r = requests.get(url)
game_data = r.json()

#PLAYER SCRAPING
for homeaway in ['home','away']:
player_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('skaters')
player_id[homeaway] = player_dict


#Get PlayerStats/TeamStats
for homeaway in player_id:
for playerID in player_id[homeaway]:
play_dict_teamname = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('team').get('name')
play_dict_teamgoals = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('teamStats').get('teamSkaterStats').get('goals')
play_dict_gameid = game_data.get('gamePk')

play_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('person')
play_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('position')
play_dict_skaterstats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('stats').get('skaterStats')

#Append TeamStats to Empty list
team.append(play_dict_teamname)
team_goals.append(play_dict_teamgoals)
matchid.append(play_dict_gameid)

#Append PlayerStats to Empty list
person.append(play_dict_person)
position.append(play_dict_position)
if play_dict_skaterstats:
skaterstats.append(play_dict_skaterstats)

#GOALIE SCRAPING
for homeaway in ['home','away']:
goalie_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('goalies')
goalie_id[homeaway] = goalie_dict

#Get GoalieStats
for homeaway in goalie_id:
for goalieID in goalie_id[homeaway]:
goal_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('person')
goal_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('position')
goal_dict_stats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('stats').get('goalieStats')


#Append GoalieStats to Empty list
goalie_person.append(goal_dict_person)
goalie_position.append(goal_dict_position)
if goal_dict_stats:
goalie_stats.append(goal_dict_stats)


#Create DataFrames for all lists
df_person = pd.DataFrame(person)
df_position = pd.DataFrame(position)
df_skaterstats = pd.DataFrame(skaterstats)

df_team = pd.DataFrame(team)
df_teamgoals = pd.DataFrame(team_goals)
df_gameID = pd.DataFrame(matchid)

df_goalie_per = pd.DataFrame(goalie_person)
df_goalie_pos = pd.DataFrame(goalie_position)
df_goalie_stats = pd.DataFrame(goalie_stats)

df_goalie_per.head()

fullName id link rosterStatus shootsCatches
0 Steve Mason 8473461 /api/v1/people/8473461 Y R
1 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
2 Steve Mason 8473461 /api/v1/people/8473461 Y R
3 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
4 Frederik Andersen 8475883 /api/v1/people/8475883 Y L









share|improve this question



























    1















    When i print df_goalie_per.head() I can see that I have duplicates for some reason, don't understand why, any suggestions?



    I also checked the other DataFrames, and found that ONLY the df_goalie_
    dataframes are affected by this. Does this have to do with the looping?
    Tried changing the looping order but didn't get any success.



    Code is below:



    #Importing Libraries 
    import numpy as np
    import pandas as pd
    import requests
    import json
    from sklearn import preprocessing
    from sklearn.preprocessing import OneHotEncoder


    #Create Empty lists
    player_id = {}
    goalie_id = {}

    person =
    position =
    skaterstats =

    goalie_person=
    goalie_position=
    goalie_stats=

    team =
    team_goals =
    matchid =

    #Connect to NHL-API
    for game_id in range(2017020001, 2017020002, 1):
    url = 'https://statsapi.web.nhl.com/api/v1/game/{}/feed/live'.format(game_id)
    r = requests.get(url)
    game_data = r.json()

    #PLAYER SCRAPING
    for homeaway in ['home','away']:
    player_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('skaters')
    player_id[homeaway] = player_dict


    #Get PlayerStats/TeamStats
    for homeaway in player_id:
    for playerID in player_id[homeaway]:
    play_dict_teamname = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('team').get('name')
    play_dict_teamgoals = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('teamStats').get('teamSkaterStats').get('goals')
    play_dict_gameid = game_data.get('gamePk')

    play_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('person')
    play_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('position')
    play_dict_skaterstats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('stats').get('skaterStats')

    #Append TeamStats to Empty list
    team.append(play_dict_teamname)
    team_goals.append(play_dict_teamgoals)
    matchid.append(play_dict_gameid)

    #Append PlayerStats to Empty list
    person.append(play_dict_person)
    position.append(play_dict_position)
    if play_dict_skaterstats:
    skaterstats.append(play_dict_skaterstats)

    #GOALIE SCRAPING
    for homeaway in ['home','away']:
    goalie_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('goalies')
    goalie_id[homeaway] = goalie_dict

    #Get GoalieStats
    for homeaway in goalie_id:
    for goalieID in goalie_id[homeaway]:
    goal_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('person')
    goal_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('position')
    goal_dict_stats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('stats').get('goalieStats')


    #Append GoalieStats to Empty list
    goalie_person.append(goal_dict_person)
    goalie_position.append(goal_dict_position)
    if goal_dict_stats:
    goalie_stats.append(goal_dict_stats)


    #Create DataFrames for all lists
    df_person = pd.DataFrame(person)
    df_position = pd.DataFrame(position)
    df_skaterstats = pd.DataFrame(skaterstats)

    df_team = pd.DataFrame(team)
    df_teamgoals = pd.DataFrame(team_goals)
    df_gameID = pd.DataFrame(matchid)

    df_goalie_per = pd.DataFrame(goalie_person)
    df_goalie_pos = pd.DataFrame(goalie_position)
    df_goalie_stats = pd.DataFrame(goalie_stats)

    df_goalie_per.head()

    fullName id link rosterStatus shootsCatches
    0 Steve Mason 8473461 /api/v1/people/8473461 Y R
    1 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
    2 Steve Mason 8473461 /api/v1/people/8473461 Y R
    3 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
    4 Frederik Andersen 8475883 /api/v1/people/8475883 Y L









    share|improve this question

























      1












      1








      1








      When i print df_goalie_per.head() I can see that I have duplicates for some reason, don't understand why, any suggestions?



      I also checked the other DataFrames, and found that ONLY the df_goalie_
      dataframes are affected by this. Does this have to do with the looping?
      Tried changing the looping order but didn't get any success.



      Code is below:



      #Importing Libraries 
      import numpy as np
      import pandas as pd
      import requests
      import json
      from sklearn import preprocessing
      from sklearn.preprocessing import OneHotEncoder


      #Create Empty lists
      player_id = {}
      goalie_id = {}

      person =
      position =
      skaterstats =

      goalie_person=
      goalie_position=
      goalie_stats=

      team =
      team_goals =
      matchid =

      #Connect to NHL-API
      for game_id in range(2017020001, 2017020002, 1):
      url = 'https://statsapi.web.nhl.com/api/v1/game/{}/feed/live'.format(game_id)
      r = requests.get(url)
      game_data = r.json()

      #PLAYER SCRAPING
      for homeaway in ['home','away']:
      player_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('skaters')
      player_id[homeaway] = player_dict


      #Get PlayerStats/TeamStats
      for homeaway in player_id:
      for playerID in player_id[homeaway]:
      play_dict_teamname = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('team').get('name')
      play_dict_teamgoals = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('teamStats').get('teamSkaterStats').get('goals')
      play_dict_gameid = game_data.get('gamePk')

      play_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('person')
      play_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('position')
      play_dict_skaterstats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('stats').get('skaterStats')

      #Append TeamStats to Empty list
      team.append(play_dict_teamname)
      team_goals.append(play_dict_teamgoals)
      matchid.append(play_dict_gameid)

      #Append PlayerStats to Empty list
      person.append(play_dict_person)
      position.append(play_dict_position)
      if play_dict_skaterstats:
      skaterstats.append(play_dict_skaterstats)

      #GOALIE SCRAPING
      for homeaway in ['home','away']:
      goalie_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('goalies')
      goalie_id[homeaway] = goalie_dict

      #Get GoalieStats
      for homeaway in goalie_id:
      for goalieID in goalie_id[homeaway]:
      goal_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('person')
      goal_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('position')
      goal_dict_stats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('stats').get('goalieStats')


      #Append GoalieStats to Empty list
      goalie_person.append(goal_dict_person)
      goalie_position.append(goal_dict_position)
      if goal_dict_stats:
      goalie_stats.append(goal_dict_stats)


      #Create DataFrames for all lists
      df_person = pd.DataFrame(person)
      df_position = pd.DataFrame(position)
      df_skaterstats = pd.DataFrame(skaterstats)

      df_team = pd.DataFrame(team)
      df_teamgoals = pd.DataFrame(team_goals)
      df_gameID = pd.DataFrame(matchid)

      df_goalie_per = pd.DataFrame(goalie_person)
      df_goalie_pos = pd.DataFrame(goalie_position)
      df_goalie_stats = pd.DataFrame(goalie_stats)

      df_goalie_per.head()

      fullName id link rosterStatus shootsCatches
      0 Steve Mason 8473461 /api/v1/people/8473461 Y R
      1 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
      2 Steve Mason 8473461 /api/v1/people/8473461 Y R
      3 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
      4 Frederik Andersen 8475883 /api/v1/people/8475883 Y L









      share|improve this question














      When i print df_goalie_per.head() I can see that I have duplicates for some reason, don't understand why, any suggestions?



      I also checked the other DataFrames, and found that ONLY the df_goalie_
      dataframes are affected by this. Does this have to do with the looping?
      Tried changing the looping order but didn't get any success.



      Code is below:



      #Importing Libraries 
      import numpy as np
      import pandas as pd
      import requests
      import json
      from sklearn import preprocessing
      from sklearn.preprocessing import OneHotEncoder


      #Create Empty lists
      player_id = {}
      goalie_id = {}

      person =
      position =
      skaterstats =

      goalie_person=
      goalie_position=
      goalie_stats=

      team =
      team_goals =
      matchid =

      #Connect to NHL-API
      for game_id in range(2017020001, 2017020002, 1):
      url = 'https://statsapi.web.nhl.com/api/v1/game/{}/feed/live'.format(game_id)
      r = requests.get(url)
      game_data = r.json()

      #PLAYER SCRAPING
      for homeaway in ['home','away']:
      player_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('skaters')
      player_id[homeaway] = player_dict


      #Get PlayerStats/TeamStats
      for homeaway in player_id:
      for playerID in player_id[homeaway]:
      play_dict_teamname = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('team').get('name')
      play_dict_teamgoals = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('teamStats').get('teamSkaterStats').get('goals')
      play_dict_gameid = game_data.get('gamePk')

      play_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('person')
      play_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('position')
      play_dict_skaterstats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(playerID)).get('stats').get('skaterStats')

      #Append TeamStats to Empty list
      team.append(play_dict_teamname)
      team_goals.append(play_dict_teamgoals)
      matchid.append(play_dict_gameid)

      #Append PlayerStats to Empty list
      person.append(play_dict_person)
      position.append(play_dict_position)
      if play_dict_skaterstats:
      skaterstats.append(play_dict_skaterstats)

      #GOALIE SCRAPING
      for homeaway in ['home','away']:
      goalie_dict = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('goalies')
      goalie_id[homeaway] = goalie_dict

      #Get GoalieStats
      for homeaway in goalie_id:
      for goalieID in goalie_id[homeaway]:
      goal_dict_person = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('person')
      goal_dict_position = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('position')
      goal_dict_stats = game_data.get('liveData').get('boxscore').get('teams').get(homeaway).get('players').get('ID' + str(goalieID)).get('stats').get('goalieStats')


      #Append GoalieStats to Empty list
      goalie_person.append(goal_dict_person)
      goalie_position.append(goal_dict_position)
      if goal_dict_stats:
      goalie_stats.append(goal_dict_stats)


      #Create DataFrames for all lists
      df_person = pd.DataFrame(person)
      df_position = pd.DataFrame(position)
      df_skaterstats = pd.DataFrame(skaterstats)

      df_team = pd.DataFrame(team)
      df_teamgoals = pd.DataFrame(team_goals)
      df_gameID = pd.DataFrame(matchid)

      df_goalie_per = pd.DataFrame(goalie_person)
      df_goalie_pos = pd.DataFrame(goalie_position)
      df_goalie_stats = pd.DataFrame(goalie_stats)

      df_goalie_per.head()

      fullName id link rosterStatus shootsCatches
      0 Steve Mason 8473461 /api/v1/people/8473461 Y R
      1 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
      2 Steve Mason 8473461 /api/v1/people/8473461 Y R
      3 Connor Hellebuyck 8476945 /api/v1/people/8476945 Y L
      4 Frederik Andersen 8475883 /api/v1/people/8475883 Y L






      python python-3.x api for-loop iteration






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      share|improve this question










      asked Jan 2 at 18:21









      MisterButterMisterButter

      739




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