Data source: http://www.kaggle.com
Installing the Kaggle API in Colab¶
In [1]:
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
In [25]:
!pip install kaggle
Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (1.5.12) Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.15.0) Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle) (2021.10.8) Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle) (6.1.2) Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from kaggle) (4.64.0) Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.23.0) Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.24.3) Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.8.2) Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle) (1.3) Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (2.10)
Authenticating with Kaggle using kaggle.json¶
Navigate to https://www.kaggle.com. Then go to the Account tab of your user profile and select Create API Token. This will trigger the download of kaggle.json, a file containing your API credentials.
Make sure you expire all other API keys first.
Then run the cell below to upload kaggle.json to your Colab runtime.
In [4]:
from google.colab import files
uploaded = files.upload()
for fn in uploaded.keys():
print('User uploaded file "{name}" with length {length} bytes'.format(
name=fn, length=len(uploaded[fn])))
# Then move kaggle.json into the folder where the API expects to find it.
!mkdir -p ~/.kaggle/ && mv kaggle.json ~/.kaggle/ && chmod 600 ~/.kaggle/kaggle.json
Saving kaggle.json to kaggle.json User uploaded file "kaggle.json" with length 63 bytes
Using the Kaggle API¶
For a more complete list of what you can do with the API, visit https://github.com/Kaggle/kaggle-api.
In [2]:
mypath = '/content/drive/My Drive/Colab Notebooks/kaggle/'
In [ ]:
In [5]:
!kaggle competitions list -s sports
ref deadline category reward teamCount userHasEntered ---------------------------------------- ------------------- ---------- --------- --------- -------------- nfl-big-data-bowl-2020 2020-01-06 23:59:00 Featured $75,000 2038 False mens-march-mania-2022 2022-04-05 04:00:00 Featured $25,000 930 False ncaam-march-mania-2021 2021-04-06 04:00:00 Playground Prizes 707 False womens-march-mania-2022 2022-04-04 15:00:00 Featured $25,000 651 False march-machine-learning-mania-2017 2017-04-04 15:00:00 Playground Swag 441 False ncaaw-march-mania-2021 2021-04-05 12:01:00 Playground Prizes 451 False mens-machine-learning-competition-2019 2019-04-09 06:00:00 Featured $25,000 862 False march-machine-learning-mania-2016 2016-04-05 06:00:00 Featured $25,000 596 False womens-machine-learning-competition-2019 2019-04-08 05:10:00 Featured $25,000 497 False march-machine-learning-mania-2015 2015-04-07 23:59:00 Featured $15,000 340 False nfl-impact-detection 2021-01-04 23:59:00 Featured $75,000 459 False march-machine-learning-mania-2014 2014-04-08 23:59:00 Featured $15,000 248 False kobe-bryant-shot-selection 2016-06-13 23:59:00 Playground Knowledge 1117 False nfl-health-and-safety-helmet-assignment 2021-11-02 23:59:00 Featured $100,000 825 False mens-machine-learning-competition-2018 2018-04-02 23:59:00 Featured $50,000 933 False ncaam-march-mania-2021-spread 2021-04-06 04:00:00 Playground Knowledge 96 False ncaaw-march-mania-2021-spread 2021-04-05 12:01:00 Playground Knowledge 70 False march-madness-analytics-2020 2020-04-30 23:59:00 Analytics $25,000 0 False NFL-Punt-Analytics-Competition 2019-01-09 23:59:00 Analytics $80,000 0 False nfl-playing-surface-analytics 2020-01-02 23:59:00 Analytics $75,000 0 False
In [6]:
!kaggle competitions list -s finance
ref deadline category reward teamCount userHasEntered ----------------------------------------- ------------------- ---------- -------- --------- -------------- ubiquant-market-prediction 2022-07-18 23:59:00 Featured $100,000 2810 False jpx-tokyo-stock-exchange-prediction 2022-07-05 23:59:00 Featured $63,000 1056 False santander-value-prediction-challenge 2018-08-20 23:59:00 Featured $60,000 4463 False jane-street-market-prediction 2021-08-23 23:59:00 Featured $100,000 4245 False optiver-realized-volatility-prediction 2022-01-10 18:36:00 Featured $100,000 3852 False two-sigma-financial-modeling 2017-03-01 23:59:00 Featured $100,000 2063 False g-research-crypto-forecasting 2022-05-03 23:59:00 Featured $125,000 1946 False the-winton-stock-market-challenge 2016-01-26 23:59:00 Featured $50,000 829 False two-sigma-financial-news 2019-08-05 23:59:00 Featured $100,000 2927 False elo-merchant-category-recommendation 2019-02-26 23:59:00 Featured $50,000 4110 False santander-customer-satisfaction 2016-05-02 23:59:00 Featured $60,000 5115 False santander-customer-transaction-prediction 2019-04-10 23:59:00 Featured $65,000 8751 False home-credit-default-risk 2018-08-29 23:59:00 Featured $70,000 7176 False santander-product-recommendation 2016-12-21 23:59:00 Featured $60,000 1779 False bnp-paribas-cardif-claims-management 2016-04-18 23:59:00 Featured $30,000 2920 False sberbank-russian-housing-market 2017-06-29 23:59:00 Featured $25,000 3264 False tabular-playground-series-aug-2021 2021-08-31 23:59:00 Playground Swag 1753 False donorschoose-application-screening 2018-04-25 23:59:00 Playground Swag 580 False
In [7]:
!kaggle competitions list -s movies
ref deadline category reward teamCount userHasEntered -------------------------- ------------------- --------------- --------- --------- -------------- tmdb-box-office-prediction 2019-05-30 23:59:00 Playground Knowledge 1395 False santa-2021 2022-01-12 23:59:00 Featured $25,000 867 False word2vec-nlp-tutorial 2015-06-30 23:59:00 Getting Started Knowledge 577 False
In [8]:
!kaggle competitions list --category research
ref deadline category reward teamCount userHasEntered ----------------------------------------------- ------------------- -------- --------- --------- -------------- smartphone-decimeter-2022 2022-07-29 23:59:00 Research $10,000 145 False uw-madison-gi-tract-image-segmentation 2022-07-14 23:59:00 Research $25,000 573 False image-matching-challenge-2022 2022-06-02 23:59:00 Research $10,000 571 False herbarium-2022-fgvc9 2022-05-30 23:59:00 Research Knowledge 123 False iwildcam2022-fgvc9 2022-05-30 23:59:00 Research Knowledge 17 False sorghum-id-fgvc-9 2022-05-30 23:59:00 Research Knowledge 248 False hotel-id-to-combat-human-trafficking-2022-fgvc9 2022-05-30 23:59:00 Research Knowledge 76 False birdclef-2022 2022-05-24 23:59:00 Research $10,000 777 False geolifeclef-2022-lifeclef-2022-fgvc9 2022-05-24 23:59:00 Research Knowledge 50 False happy-whale-and-dolphin 2022-04-18 23:59:00 Research $25,000 1588 False tensorflow-great-barrier-reef 2022-02-14 23:59:00 Research $150,000 2025 False petfinder-pawpularity-score 2022-01-14 23:59:00 Research $25,000 3537 False chaii-hindi-and-tamil-question-answering 2021-11-15 23:59:00 Research $10,000 943 False ventilator-pressure-prediction 2021-11-03 23:59:00 Research $7,500 2605 False landmark-retrieval-2021 2021-10-01 23:59:00 Research Swag 263 False landmark-recognition-2021 2021-10-01 23:59:00 Research Swag 383 False g2net-gravitational-wave-detection 2021-09-29 23:59:00 Research $15,000 1219 False seti-breakthrough-listen 2021-08-18 23:59:00 Research $15,000 768 False google-smartphone-decimeter-challenge 2021-08-04 23:59:00 Research $10,000 810 False birdclef-2021 2021-06-01 23:59:00 Research $5,000 816 False
In [9]:
!kaggle competitions files march-madness-analytics-2020
name size creationDate ------------------------------------------------------------------------------------------------ ----- ------------------- MDataFiles_Stage2/MNCAATourneyCompactResults.csv 66KB 2020-03-23 08:04:26 MDataFiles_Stage2/MConferenceTourneyGames.csv 137KB 2020-03-23 08:04:26 MDataFiles_Stage2/MGameCities.csv 2MB 2020-03-23 08:04:26 MDataFiles_Stage2/MSecondaryTourneyTeams.csv 24KB 2020-03-23 08:04:26 MDataFiles_Stage2/MRegularSeasonDetailedResults.csv 9MB 2020-03-23 08:04:26 MDataFiles_Stage2/MNCAATourneySeeds.csv 34KB 2020-03-23 08:04:26 MDataFiles_Stage2/Cities.csv 8KB 2020-03-23 08:04:26 MDataFiles_Stage2/MRegularSeasonCompactResults.csv 5MB 2020-03-23 08:04:26 MDataFiles_Stage2/MTeamSpellings.csv 22KB 2020-03-23 08:04:26 MDataFiles_Stage2/Conferences.csv 2KB 2020-03-23 08:04:26 MDataFiles_Stage2/MTeams.csv 9KB 2020-03-23 08:04:26 MDataFiles_Stage2/MNCAATourneySlots.csv 44KB 2020-03-23 08:04:26 MDataFiles_Stage2/MNCAATourneySeedRoundSlots.csv 14KB 2020-03-23 08:04:26 MDataFiles_Stage2/MSeasons.csv 2KB 2020-03-23 08:04:26 MDataFiles_Stage2/MTeamConferences.csv 195KB 2020-03-23 08:04:26 MDataFiles_Stage2/MTeamCoaches.csv 341KB 2020-03-23 08:04:26 MDataFiles_Stage2/MNCAATourneyDetailedResults.csv 109KB 2020-03-23 08:04:26 MDataFiles_Stage2/MSecondaryTourneyCompactResults.csv 54KB 2020-03-23 08:04:26 MDataFiles_Stage2/MMasseyOrdinals.csv 86MB 2020-03-23 08:04:26 WPlayByPlay_Stage2/WEvents2015.csv 165MB 2020-03-23 08:04:26 WPlayByPlay_Stage2/WEvents2018.csv 164MB 2020-03-23 08:04:26 WPlayByPlay_Stage2/WEvents2017.csv 166MB 2020-03-23 08:04:26 WPlayByPlay_Stage2/WEvents2020.csv 178MB 2020-03-23 08:04:26 WPlayByPlay_Stage2/WPlayers.csv 334KB 2020-03-23 08:04:26 WPlayByPlay_Stage2/WEvents2016.csv 166MB 2020-03-23 08:04:26 WPlayByPlay_Stage2/WEvents2019.csv 174MB 2020-03-23 08:04:26 WDataFiles_Stage2/WNCAATourneyDetailedResults.csv 62KB 2020-03-23 08:04:26 WDataFiles_Stage2/WNCAATourneySlots.csv 970B 2020-03-23 08:04:26 WDataFiles_Stage2/WRegularSeasonDetailedResults.csv 5MB 2020-03-23 08:04:26 WDataFiles_Stage2/WSeasons.csv 1KB 2020-03-23 08:04:26 WDataFiles_Stage2/WNCAATourneyCompactResults.csv 41KB 2020-03-23 08:04:26 WDataFiles_Stage2/Conferences.csv 2KB 2020-03-23 08:04:26 WDataFiles_Stage2/WTeamSpellings.csv 21KB 2020-03-23 08:04:26 WDataFiles_Stage2/WTeams.csv 6KB 2020-03-23 08:04:26 WDataFiles_Stage2/WNCAATourneySeeds.csv 21KB 2020-03-23 08:04:26 WDataFiles_Stage2/Cities.csv 8KB 2020-03-23 08:04:26 WDataFiles_Stage2/WGameCities.csv 2MB 2020-03-23 08:04:26 WDataFiles_Stage2/WTeamConferences.csv 130KB 2020-03-23 08:04:26 WDataFiles_Stage2/WRegularSeasonCompactResults.csv 3MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MNCAATourneyCompactResults.csv 66KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MConferenceTourneyGames.csv 133KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MGameCities.csv 2MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MSecondaryTourneyTeams.csv 24KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MRegularSeasonDetailedResults.csv 8MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MNCAATourneySeeds.csv 34KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/Cities.csv 8KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MRegularSeasonCompactResults.csv 5MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MTeamSpellings.csv 22KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/Conferences.csv 2KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MTeams.csv 9KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MNCAATourneySlots.csv 44KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MNCAATourneySeedRoundSlots.csv 14KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MSeasons.csv 2KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MTeamConferences.csv 195KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MTeamCoaches.csv 331KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MNCAATourneyDetailedResults.csv 109KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MSecondaryTourneyCompactResults.csv 54KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MDataFiles_Stage1/MMasseyOrdinals.csv 80MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MEvents2016.csv 170MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MEvents2017.csv 168MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MEvents2019.csv 178MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MEvents2015.csv 162MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MEvents2018.csv 166MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Mens-Data/MPlayers.csv 329KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WNCAATourneyDetailedResults.csv 62KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WNCAATourneySlots.csv 970B 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WRegularSeasonDetailedResults.csv 5MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WSeasons.csv 1KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WNCAATourneyCompactResults.csv 41KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/Conferences.csv 2KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WTeamSpellings.csv 21KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WTeams.csv 6KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WNCAATourneySeeds.csv 21KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/Cities.csv 8KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WGameCities.csv 2MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WTeamConferences.csv 130KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WDataFiles_Stage1/WRegularSeasonCompactResults.csv 3MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WEvents2015.csv 161MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WEvents2018.csv 161MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WEvents2017.csv 162MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WPlayers.csv 290KB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WEvents2016.csv 163MB 2020-03-23 08:04:26 2020DataFiles/2020DataFiles/2020-Womens-Data/WEvents2019.csv 172MB 2020-03-23 08:04:26 MPlayByPlay_Stage2/MEvents2020.csv 180MB 2020-03-23 08:04:26 MPlayByPlay_Stage2/MEvents2016.csv 174MB 2020-03-23 08:04:26 MPlayByPlay_Stage2/MEvents2017.csv 173MB 2020-03-23 08:04:26 MPlayByPlay_Stage2/MEvents2019.csv 181MB 2020-03-23 08:04:26 MPlayByPlay_Stage2/MEvents2015.csv 167MB 2020-03-23 08:04:26 MPlayByPlay_Stage2/MEvents2018.csv 170MB 2020-03-23 08:04:26 MPlayByPlay_Stage2/MPlayers.csv 386KB 2020-03-23 08:04:26
In [10]:
!kaggle competitions leaderboard ubiquant-market-prediction -s
teamId teamName submissionDate score
------- ---------------------------------------------- ------------------- -------
8091195 yrtchn 2022-04-16 12:48:19 0.1041
8178392 rinovan 2022-02-26 18:06:41 0.0988
8031391 BigQuant 2022-04-20 01:48:12 0.0970
8029675 nagao 2022-03-13 06:39:27 0.0969
8082407 Kensuke Yamamoto 2022-02-25 09:42:00 0.0949
8173626 Dereka 2022-02-17 02:15:24 0.0941
8021093 K I Y 2022-04-19 17:07:10 0.0918
8025225 Lorenzo 2022-02-22 12:48:57 0.0917
8027677 Hugh Pu 2022-04-17 15:24:00 0.0910
8075564 GFHS 2022-04-18 03:06:25 0.0905
8022337 内存不爆就是好模型 2022-04-20 17:38:36 0.0903
8037700 Karthikeyan 2022-02-22 18:19:34 0.0894
8074681 Wenrui Kong 2022-04-20 02:17:15 0.0894
8204030 Ageonsen 2022-03-03 14:30:58 0.0886
8026444 LEM 2022-03-24 11:00:34 0.0870
8091565 ricopue 2022-04-12 13:41:53 0.0865
8113065 AdroitBot 2022-03-13 17:34:16 0.0864
8020994 simple feature LGBM 2022-02-17 15:57:18 0.0863
8049497 cmanning 2022-03-31 15:50:48 0.0862
8099626 Fmakarem 2022-04-18 18:19:23 0.0856
8029459 ttttt 2022-04-13 10:52:41 0.0855
8163567 Alexandre Rodrigues 2022-02-21 16:48:38 0.0847
8030431 Yang Ruijing 2022-02-22 13:15:34 0.0845
8450941 BibekBehera 2022-04-09 09:40:37 0.0844
8042497 Takafumi Takizawa 2022-02-23 08:07:49 0.0840
8123730 TZC 2022-04-18 20:13:37 0.0838
8028955 lhagiimn 2022-04-20 01:34:05 0.0837
8329254 Mehdi Karech 2022-03-19 12:57:41 0.0834
8065675 enp 2022-04-15 20:54:43 0.0833
8349797 Bon Intelli 2022-04-20 16:24:18 0.0831
8025614 hklee 2022-04-06 04:25:09 0.0830
8232024 Hiroki #2 2022-03-28 06:43:46 0.0830
8358642 Lucas Lingle 2022-04-08 09:55:35 0.0829
8171095 Davide Stenner 2022-04-17 21:49:21 0.0828
8080752 dgKim 2022-03-21 01:40:08 0.0828
8389183 ifuseok 2022-04-07 15:11:49 0.0826
8295859 cylykryatsl 2022-04-19 03:50:47 0.0826
8076436 Alex Emerick Jones 2022-04-19 17:35:20 0.0825
8031556 Xie Zejian 2022-01-22 16:55:33 0.0824
8032034 Alexandre Durand 2022-04-20 05:39:20 0.0823
8367334 Vladimir Artus 2022-04-11 11:38:23 0.0820
8309875 redEye 2022-03-25 19:32:01 0.0820
8126078 Random Walk 2022-04-20 10:47:18 0.0819
8256441 Sumit Kant 2022-03-18 13:59:03 0.0819
8042167 rotto 2022-01-26 16:19:05 0.0819
8073056 Jose Antonio Alatorre 2022-04-19 12:11:47 0.0817
8372881 WHK~ 2022-04-17 07:32:19 0.0815
8020962 Trojans 2022-04-20 18:43:20 0.0811
8065677 kaggleYaro 2022-04-18 00:03:36 0.0809
8059228 Fritz Cremer 2022-04-19 23:29:16 0.0809
8147969 Aleksey Eliseev 2022-02-13 18:55:53 0.0808
8062487 cymchen 2022-04-19 13:00:43 0.0808
8258359 tamirpuzanov 2022-03-24 09:28:42 0.0808
8032562 Oliver Wang 2022-01-24 11:19:04 0.0806
8040998 NocturneBflat 2022-03-25 00:43:30 0.0806
8025038 Antoniu Gugu 2022-04-07 07:35:53 0.0806
8053062 Martin Kovacevic Buvinic 2022-02-21 14:20:48 0.0805
8087134 Petr Dobeš 2022-02-02 19:48:09 0.0805
8146372 kagglembb 2022-02-16 15:49:11 0.0803
8189061 JohnBlake 2022-03-04 04:54:32 0.0801
8049232 ZizouHe 2022-03-02 13:30:48 0.0798
8252572 Devolnyx 2022-04-20 08:43:32 0.0797
8039580 Vakha Gaparkhoev 2022-02-12 22:13:47 0.0796
8023881 Forky 2022-04-11 08:52:48 0.0796
8398766 Didier Feng 2022-04-20 14:53:22 0.0796
8390705 cjamplunc 2022-04-10 12:23:26 0.0796
8065908 DaoSword 2022-04-18 06:16:34 0.0795
8176459 alchemist 2022-04-18 23:03:24 0.0794
8237436 Yoshiyanana 2022-03-21 14:00:03 0.0794
8024160 Lindada 2022-04-02 02:32:07 0.0793
8036683 ron 2022-04-17 03:50:39 0.0792
8026326 clavin harris 2022-04-12 14:48:42 0.0792
8231034 empKiros 2022-04-10 14:00:44 0.0792
8072415 MarcDumon 2022-04-18 19:39:55 0.0791
8052144 Anh Vu NGUYEN 2022-04-02 08:42:03 0.0790
8142035 mabnnnni 2022-02-25 05:45:07 0.0790
8160525 kaggle_rookies 2022-04-18 00:36:50 0.0788
8053652 Icaruscookie 2022-02-09 18:05:12 0.0787
8115229 yoctofoot 2022-04-15 11:37:44 0.0786
8446419 Grokli 2022-04-08 10:14:38 0.0786
8047490 super-trader-ai 2022-02-11 11:04:47 0.0786
8026364 FRESHMAN 2022-04-04 12:21:15 0.0785
8032996 Stavros Tsalides 2022-02-15 08:32:05 0.0784
8032104 a-brice 2022-02-14 22:46:13 0.0783
8082869 radrshp 2022-04-20 18:46:23 0.0783
8025601 Hamza 2022-04-07 08:48:46 0.0782
8199770 yushaoshao 2022-02-24 06:27:12 0.0782
8023662 Venturillo JE 2022-02-15 07:48:04 0.0782
8259047 Charles #2 2022-04-20 21:06:16 0.0781
8048759 Stochoshi 2022-04-19 20:11:48 0.0781
8258044 m2learning 2022-04-20 21:19:37 0.0781
8040543 VK 2022-01-24 07:59:12 0.0780
8030892 MiaoChenglin616 2022-01-23 11:10:21 0.0780
8030864 Uladzislau Sakalou 2022-01-25 08:20:42 0.0780
8092231 Mr. Li 2022-02-02 11:09:10 0.0780
8060385 JennnnnD 2022-02-27 05:02:28 0.0780
8091046 Chen Yongqiang 2022-02-07 03:13:33 0.0780
8092927 Shopee Hirata 2022-02-11 07:46:06 0.0780
8186419 Trust.W 2022-02-22 03:49:03 0.0780
8047845 Vuk119 2022-03-08 21:16:21 0.0780
8282950 Kirill Duvakin 2022-03-11 09:52:19 0.0780
8409752 pata123 2022-04-06 13:09:00 0.0780
8037464 SKRRRRA 2022-04-20 17:42:04 0.0780
8042899 Jerry LLC 2022-02-19 14:00:31 0.0780
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8133080 Nick yeah 2022-02-18 10:26:12 0.0715
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8047193 Taku 2022-01-23 13:35:25 0.0433
8037857 William Li 2022-02-02 05:41:58 0.0429
8151834 Sedat GOLGİYAZ 2022-04-20 13:31:05 0.0428
8318978 anthonybax 2022-04-15 17:08:25 0.0428
8428601 n-yuzuto 2022-04-10 08:48:12 0.0426
8444720 ryan ren 2022-04-20 19:03:40 0.0425
8406562 Antonio 2022-04-02 10:51:53 0.0424
8026185 xstt201 2022-02-20 09:43:42 0.0424
8399772 NotSoDumbCoders 2022-04-06 13:29:33 0.0423
8035611 Gagan Dhillon 2022-03-11 12:09:40 0.0419
8222667 TM Shen 2022-03-02 06:33:28 0.0415
8067161 Joe Young 2022-02-18 13:31:27 0.0415
8281177 Roberto G 2022-03-12 21:51:31 0.0413
8094362 Subash Gandyer 2022-02-02 21:42:12 0.0412
8274174 Darshan Sawant 2022-03-12 14:27:35 0.0412
8141900 Anton Semenov 2022-04-06 17:13:40 0.0411
8021216 Winner 2022-01-26 07:27:44 0.0410
8176912 SaiSohith 2022-04-17 16:51:18 0.0410
8052485 UnavailableProtocol 2022-04-10 05:30:00 0.0410
8309341 aromatic_coconut_231 2022-04-11 17:12:56 0.0408
8114015 PeaceNAN 2022-02-07 09:17:59 0.0407
8044445 Dong Chen 2022-02-02 19:45:07 0.0405
8030502 summerdaway 2022-01-30 15:11:36 0.0405
8341594 no way home 2022-03-21 07:57:49 0.0405
8045032 Tomohiro Yazaki 2022-01-29 22:40:34 0.0404
8021106 maze508 2022-03-29 22:54:30 0.0401
8196152 Hojae Lee 2022-03-12 09:44:14 0.0401
8255969 Walter Alvarado 2022-03-21 14:49:25 0.0395
8065407 518030910265_孙开来 2022-04-20 06:59:56 0.0388
8080856 Graker Charms 2022-02-13 11:56:25 0.0387
8122965 Samuel Guimaraes 2022-03-08 19:03:15 0.0387
8084191 Jiri Prudky 2022-02-17 20:53:51 0.0385
8225930 Amruta Kabade 2022-02-27 06:05:04 0.0385
8272244 Shu 2022-03-22 13:37:22 0.0385
8375636 toshi_k_1985 2022-04-17 12:31:52 0.0385
8026236 Aiden Tu 2022-03-05 08:37:14 0.0385
8023635 BunBun 2022-01-19 12:25:57 0.0384
8094081 vasist 2022-04-20 13:13:04 0.0383
8095051 Grigory Tokarev 2022-02-03 11:34:26 0.0382
8124065 John Rabovich 2022-03-30 12:47:48 0.0378
8051045 kiseokyoon 2022-01-24 17:49:58 0.0378
8048775 Nikhil Manali 2022-01-31 23:32:40 0.0378
8072935 Greg DeVos 2022-02-04 01:18:02 0.0372
8029464 Ethan11999 2022-01-20 08:15:31 0.0371
8280340 egecan esen 2022-03-09 20:43:06 0.0371
8112046 Julio Contreras 2022-04-20 18:32:21 0.0369
8041460 Team Outliers 2022-02-22 18:22:19 0.0366
8047500 Class started 2 hrs Ago 2022-02-14 16:24:31 0.0362
8024979 kito_pl 2022-01-23 11:33:04 0.0359
8057139 terasak 2022-01-26 09:36:31 0.0359
8177081 miyataka 2022-02-18 15:13:56 0.0359
8189870 Hiroki Yasuda 2022-02-20 09:36:00 0.0359
8321238 kikukiku 2022-03-24 10:24:59 0.0359
8445446 syuya_y 2022-04-08 09:24:19 0.0359
8446572 Muntarist 2022-04-08 10:00:56 0.0359
8098204 Khalil SAIDI 2022-02-12 13:32:26 0.0358
8193736 Carmen Mihaela 2022-02-21 03:15:02 0.0358
8138751 YuKazuKou 2022-04-06 13:49:35 0.0356
8092548 Narayana Nemani 2022-02-19 16:05:12 0.0355
8029741 Charlie 2022-01-24 14:22:19 0.0352
8021095 hesongfan 2022-01-23 05:50:43 0.0350
8071224 syama 2022-01-29 04:56:06 0.0350
8184608 Weilin Xu 2022-02-22 04:08:36 0.0349
8205969 Andrew Stringer 2022-03-15 08:22:54 0.0348
8137614 Toni Bisart 2022-02-21 21:48:05 0.0348
8280638 Luis Pedro Freitas 2022-04-19 22:32:52 0.0346
8346950 what7predict 2022-04-01 08:59:30 0.0346
8423321 Khang Duong Le Tuong 2022-04-05 08:12:03 0.0345
8034765 hukun1995 2022-02-16 09:06:52 0.0339
8034930 Samarth Agarwal 2022-01-23 08:40:59 0.0338
8082352 Doi Hiro 2022-04-17 08:49:03 0.0331
8318403 bangboom 2022-03-19 09:07:19 0.0328
8100101 Oriol Palau 2022-02-20 15:09:03 0.0328
8447290 好运来 2022-04-08 15:08:27 0.0321
8069131 himi64 2022-03-10 15:50:54 0.0314
8344988 Alessandro Cognome 2022-03-25 22:16:08 0.0309
8147199 Education Purposelol 2022-03-07 14:16:34 0.0303
8034732 Test the water 2022-03-15 03:46:13 0.0300
8140758 SylviaWangBeiBei 2022-03-05 04:46:33 0.0295
8071853 Teppei 2022-01-30 02:34:09 0.0286
8222997 202204 2022-04-05 15:07:00 0.0286
8079920 Cameron Xu 2022-02-01 04:39:12 0.0283
8155396 塔塔开 2022-04-20 21:24:25 0.0266
8106637 ikamirin 2022-03-23 13:47:43 0.0262
8030690 Nelson Mganga 2022-01-22 05:02:12 0.0242
8164307 gibeomKwon 2022-03-26 09:11:40 0.0242
8043264 naoya k 2022-01-25 11:14:56 0.0241
8050213 f3ak1 2022-02-05 23:17:08 0.0231
8026846 kabupen 2022-02-02 15:01:52 0.0228
8205055 Yan Leung 2022-03-02 18:46:04 0.0227
8110662 Daniela Newton 2022-04-17 10:43:00 0.0227
8364481 angelalalala 2022-03-26 03:56:15 0.0222
8043931 HUNTER×HUNTER 2022-04-20 12:00:05 0.0220
8042604 stak36 2022-02-01 03:53:22 0.0219
8100025 Rohith Kokkula 2022-04-11 18:26:16 0.0211
8357815 Zahran 2022-03-26 21:55:46 0.0196
8332800 gne931 2022-04-14 16:48:01 0.0194
8317761 Najib 2022-04-20 01:06:41 0.0194
8464116 LordPitoria 2022-04-17 21:02:23 0.0191
8120969 VMX33 2022-02-21 22:46:02 0.0189
8046058 Sam Y 2022-02-10 04:23:28 0.0189
8350948 dam4on 2022-03-23 17:46:52 0.0179
8216922 Maxwell Dailey 2022-03-10 05:39:51 0.0176
8290934 RxRx 2022-04-18 09:59:49 0.0162
8054937 Alex Cheng 2022-01-27 08:58:07 0.0161
8104374 Arthur Stepchenko 2022-03-05 18:58:57 0.0160
8245431 nick yang 2022-04-06 01:18:31 0.0157
8418540 EasonHeys 2022-04-09 07:22:36 0.0156
8123355 yoffoy 2022-04-04 17:45:17 0.0151
8310506 Let's go 2022-03-30 03:51:53 0.0149
8104513 Newbie_Team 2022-02-09 05:19:52 0.0137
8034307 Carter Gibson 2022-02-01 16:18:10 0.0136
8203073 jxtrbtk 2022-03-07 07:18:18 0.0133
8353366 Dong Wei 2022-03-23 05:59:18 0.0133
8180607 Spyros Kostis 2022-02-22 11:00:20 0.0127
8111105 RuaYii i 2022-02-21 05:23:39 0.0124
8053743 Valerij Groshev 2022-02-02 18:40:46 0.0121
8356294 Joaquín Antonio De Vicente López 2022-03-23 22:06:38 0.0118
8271832 tongchunli 2022-03-11 10:36:11 0.0117
8091064 YUMPY 2022-04-17 07:03:44 0.0112
8078878 Angyi 2022-01-30 15:47:36 0.0107
8024218 oo 2022-02-03 15:32:18 0.0096
8045260 Daniel Preciado 2022-04-04 04:54:30 0.0089
8077081 hackerinheels 2022-03-22 19:48:23 0.0068
8150067 Jack Bruck 2022-02-25 20:50:44 0.0068
8112267 John Kim 2022-03-09 13:07:17 0.0059
8187964 DragonQuant 2022-02-22 16:23:18 0.0057
8044865 Frederic 2022-01-22 23:34:18 0.0054
8246941 rhezheh 2022-03-18 10:34:01 0.0045
8044013 Adarsh Chavakula 2022-02-09 21:31:38 0.0035
8026108 AbaoJiang 2022-04-18 12:41:40 0.0033
8037212 Dani Quinteiro Donaghy 2022-01-21 15:51:42 0.0028
8417226 akycdi 2022-04-04 03:54:34 0.0018
8328301 盛夏不暖吾心寒 2022-04-02 10:28:33 0.0017
8337242 SAKIYOMI 2022-04-10 05:24:14 0.0016
8289927 Abhilaksh Singh Reen 2022-02-20 10:18:33 0.0015
8041398 Anusua Basu 2022-03-12 16:27:59 0.0015
8034593 aldparis 2022-03-30 19:18:00 0.0010
8319375 benvens 2022-04-18 22:59:15 0.0009
8052470 Anirudh #3 2022-02-24 11:00:30 0.0006
8022359 Victor Augusto Cavalli 2022-02-09 19:26:13 0.0006
8117025 RMMJ 2022-02-08 16:06:40 0.0004
8317231 Kadyrbek 2022-04-12 17:14:08 0.0004
8427464 BeBayes 2022-04-08 19:09:07 0.0000
8068290 Hardstruck 2022-02-01 17:25:53 0.0000
8040687 R鋼彈 2022-01-28 00:55:57 0.0000
8150874 Konstantin Alekseev 2022-02-21 12:14:12 0.0000
8279756 Nathaniel haut 2022-03-11 22:25:16 0.0000
8024223 Shaif Chowdhury 2022-01-21 15:01:54 0.0000
8040041 jimmylin0979 2022-01-24 14:16:47 0.0000
8039939 HongyiChris 2022-01-21 23:56:18 0.0000
8390789 vivek #2 2022-04-20 22:40:18 0.0000
8121119 david 2022-02-19 06:22:40 0.0000
8390667 drzeus 2022-04-20 08:45:51 -0.0000
8313982 Ken Popkin 2022-03-28 18:39:59 -0.0000
8047053 Pekko 2022-01-23 19:49:28 -0.0000
8142588 Justin Hallas 2022-02-11 20:13:37 -0.0000
8325418 Thales Galuchi 2022-03-18 01:23:45 -0.0000
8440525 Graphy 2022-04-07 12:22:36 -0.0000
8344487 ZiJie S 2022-04-01 10:09:27 -0.0000
8100424 mfujiwara 2022-03-11 07:58:19 -0.0003
8369266 yaduo pan 2022-03-25 16:30:44 -0.0006
8250525 Arman #2 2022-03-04 00:45:02 -0.0006
8390718 Sciencehorizen 2022-04-20 21:08:54 -0.0008
8439809 FrozenStar 2022-04-07 11:39:07 -0.0027
8038355 Wendel Lopes 2022-02-01 19:31:47 -0.0039
8096112 rinehart13 2022-02-21 02:14:28 -0.0041
8090987 Ranesh 2022-02-27 09:13:35 -0.0046
8314523 Marcelo Marcolino 2022-03-26 16:45:03 -0.0048
8053723 Birnenbums 2022-01-28 17:41:56 -0.0053
8154348 Yu_Bu 2022-04-18 03:44:29 -0.0057
8110655 hm2200 2022-03-31 13:58:11 -0.0074
8032250 ty wang 2022-02-06 11:51:56 -0.0076
8044457 Lyubomir Klyambarski 2022-02-07 22:46:29 -0.0079
8142557 AlexeyShevchuk 2022-04-17 19:04:08 -0.0080
8095305 Ryan Stevens 2022-02-27 22:00:35 -0.0081
8328288 listening to unity 2022-04-17 07:19:02 -0.0091
8029748 Jianqiu Wang 2022-01-30 02:27:40 -0.0188
8033361 Marty Boyle 2022-04-19 18:10:31 -0.0238
8045334 Xinyi Wu 2022-02-06 05:45:21 -0.0277
8280681 Arthur D 2022-04-19 16:44:47 -0.0299
8280205 olmatz 2022-03-09 19:39:32 -0.0554
8077338 JONE 2022-03-29 23:55:30 -0.0655
8360234 JRPC 2022-03-24 08:55:33 -0.0712
8296309 mohammod 2022-03-12 16:41:02 -0.0723
8034380 🅴🆂🆆🅰🆁🅰🅽 🅺🆁🅸🅷🆂🅽🅰🆂🅰🅼🆈 2022-03-12 06:22:58 -0.0723
8293980 hxyike 2022-03-12 05:46:00 -0.0723
8081939 David #3 2022-01-31 10:30:06 -0.1111
8038254 ismael kaissy 2022-02-06 22:54:27 -0.1125
8045279 Stadtfruss 2022-01-24 18:45:08 -0.2222
8024813 PiggyGG 2022-01-30 11:31:08 -0.2222
8108082 Régis 2022-02-17 09:16:51 -0.3333
8038106 William Murphy 2022-04-18 21:45:33 -0.6559
8440393 DemingYe 2022-04-09 12:39:39 -0.7684
8179253 AndresGonzalez 2022-02-19 05:36:03 -0.8851
8073804 marugari 2022-04-11 13:56:31 -0.8888
8428936 Linh Hoang 2022-04-13 23:59:04 -0.8893
8020697 sample_submission.csv 2022-01-12 23:39:11 -1.0000
8021080 D_ 2022-01-19 06:11:59 -1.0000
8027932 yutouluck 2022-01-19 18:32:28 -1.0000
8032552 Wire Leaf 2022-01-22 16:23:10 -1.0000
8046069 Karen 2022-01-23 09:44:20 -1.0000
8046616 Shabir Ahmed 2022-01-24 21:19:38 -1.0000
8069597 Chris 2022-01-28 04:14:59 -1.0000
8077919 shinji niwa 2022-01-30 12:20:40 -1.0000
8031481 KSMCG90 2022-01-30 20:51:12 -1.0000
8094188 Ivan Meleshko 2022-02-02 20:50:27 -1.0000
8061683 jetxuX 2022-02-07 03:16:49 -1.0000
8155163 kingjames 2022-02-14 05:55:48 -1.0000
8151890 ASV617 2022-02-15 03:36:33 -1.0000
8031563 Calugar Marius 2022-02-20 11:48:35 -1.0000
8204325 miiitomi 2022-02-22 18:24:42 -1.0000
8063975 Omar Bolanos 2022-02-22 20:21:17 -1.0000
8175317 Yuchen Huang 2022-02-23 09:24:41 -1.0000
8225379 water_eau 2022-02-27 08:02:58 -1.0000
8143971 Shengwei Lu 2022-02-28 23:44:35 -1.0000
8241618 garyGLH 2022-03-21 14:51:00 -1.0000
8243518 AtsuIde 2022-03-03 01:12:46 -1.0000
8245251 Fanf #2 2022-03-06 12:58:47 -1.0000
8257647 Saty15 2022-03-06 13:14:28 -1.0000
8043494 boundles 2022-03-11 04:22:59 -1.0000
8284170 Tuhin Majumder 2022-03-15 12:19:20 -1.0000
8309739 fortunetelling 2022-03-17 09:36:26 -1.0000
8267013 huayuer 2022-04-18 08:57:45 -1.0000
8349851 LittleBlue&HisFriends 2022-03-23 07:22:28 -1.0000
8260604 kurama8103 2022-03-23 14:51:14 -1.0000
8310581 Akshata Arun Shirodker 2022-03-27 09:11:26 -1.0000
8333536 RockyHoo 2022-03-28 01:45:41 -1.0000
8250905 Alex Towers 2022-03-28 23:24:06 -1.0000
8384669 FanFeng 2022-03-28 23:44:40 -1.0000
8401005 quack-quack 2022-03-31 14:53:37 -1.0000
8437596 Deep Money 2022-04-07 15:14:49 -1.0000
8449504 rainbows 2022-04-15 21:39:22 -1.0000
8033967 daibhaiho 2022-04-17 07:20:39 -1.0000
8320368 __Taichicchi__ 2022-04-20 14:50:38 -1.0000
In [ ]:
In [18]:
!kaggle datasets list -s soccer
401 - Unauthorized
In [19]:
!kaggle datasets list
401 - Unauthorized
In [22]:
!kaggle datasets list --sort-by votes
401 - Unauthorized
In [21]:
!kaggle datasets files hugomathien/soccer
401 - Unauthorized
In [23]:
!kaggle datasets files hikne707/big-five-european-soccer-leagues
401 - Unauthorized
In [11]:
!kaggle datasets download hikne707/big-five-european-soccer-leagues
Downloading big-five-european-soccer-leagues.zip to /content 0% 0.00/501k [00:00<?, ?B/s] 100% 501k/501k [00:00<00:00, 77.7MB/s]
In [ ]:
In [12]:
!unzip big-five-european-soccer-leagues.zip
Archive: big-five-european-soccer-leagues.zip inflating: BIG FIVE 1995-2019.csv
In [13]:
import os
import pandas as pd
In [14]:
df = pd.read_csv('BIG FIVE 1995-2019.csv')
In [15]:
df.shape
Out[15]:
(44269, 15)
In [16]:
df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 44269 entries, 0 to 44268 Data columns (total 15 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Round 44269 non-null int64 1 Date 44269 non-null object 2 Team 1 44269 non-null object 3 FT 44269 non-null object 4 HT 44269 non-null object 5 Team 2 44269 non-null object 6 Year 44269 non-null int64 7 Country 44269 non-null object 8 FT Team 1 44269 non-null int64 9 FT Team 2 44269 non-null int64 10 HT Team 1 44269 non-null int64 11 HT Team 2 44269 non-null int64 12 GGD 44269 non-null int64 13 Team 1 (pts) 44269 non-null int64 14 Team 2 (pts) 44269 non-null int64 dtypes: int64(9), object(6) memory usage: 5.1+ MB
In [ ]:
In [ ]:
In [17]:
df
Out[17]:
| Round | Date | Team 1 | FT | HT | Team 2 | Year | Country | FT Team 1 | FT Team 2 | HT Team 1 | HT Team 2 | GGD | Team 1 (pts) | Team 2 (pts) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | (Sat) 19 Aug 1995 (W33) | Aston Villa FC | 3-1 | 3-0 | Manchester United FC | 1995 | ENG | 3 | 1 | 3 | 0 | 2 | 3 | 0 |
| 1 | 1 | (Sat) 19 Aug 1995 (W33) | Blackburn Rovers FC | 1-0 | 1-0 | Queens Park Rangers FC | 1995 | ENG | 1 | 0 | 1 | 0 | 1 | 3 | 0 |
| 2 | 1 | (Sat) 19 Aug 1995 (W33) | Chelsea FC | 0-0 | 0-0 | Everton FC | 1995 | ENG | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 3 | 1 | (Sat) 19 Aug 1995 (W33) | Liverpool FC | 1-0 | 0-0 | Sheffield Wednesday FC | 1995 | ENG | 1 | 0 | 0 | 0 | 1 | 3 | 0 |
| 4 | 1 | (Sat) 19 Aug 1995 (W33) | Manchester City FC | 1-1 | 0-1 | Tottenham Hotspur FC | 1995 | ENG | 1 | 1 | 0 | 1 | 0 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 44264 | 26 | (Sun) 8 Mar 2020 (W10) | AC Milan | 1-2 | 0-2 | Genoa CFC | 2019 | IT | 1 | 2 | 0 | 2 | 1 | 0 | 3 |
| 44265 | 26 | (Sun) 8 Mar 2020 (W10) | UC Sampdoria | 2-1 | 0-1 | Hellas Verona FC | 2019 | IT | 2 | 1 | 0 | 1 | 1 | 3 | 0 |
| 44266 | 26 | (Sun) 8 Mar 2020 (W10) | Udinese Calcio | 0-0 | 0-0 | ACF Fiorentina | 2019 | IT | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 44267 | 26 | (Sun) 8 Mar 2020 (W10) | Juventus | 2-0 | 0-0 | FC Internazionale Milano | 2019 | IT | 2 | 0 | 0 | 0 | 2 | 3 | 0 |
| 44268 | 26 | (Mon) 9 Mar 2020 (W11) | US Sassuolo Calcio | 3-0 | 1-0 | Brescia | 2019 | IT | 3 | 0 | 1 | 0 | 3 | 3 | 0 |
44269 rows × 15 columns
In [ ]:
In [ ]:
In [18]:
!kaggle datasets files gravix/european-soccer
name size creationDate ------------------- ---- ------------------- european_soccer.csv 21MB 2019-10-25 10:04:33
In [19]:
!kaggle datasets download gravix/european-soccer
Downloading european-soccer.zip to /content 93% 5.00M/5.39M [00:00<00:00, 17.0MB/s] 100% 5.39M/5.39M [00:00<00:00, 18.2MB/s]
In [20]:
!unzip european-soccer.zip
Archive: european-soccer.zip inflating: european_soccer.csv
In [21]:
df = pd.read_csv('european_soccer.csv')
/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py:2882: DtypeWarning: Columns (52,86) have mixed types.Specify dtype option on import or set low_memory=False. exec(code_obj, self.user_global_ns, self.user_ns)
In [22]:
df
Out[22]:
| Div | Date | HomeTeam | AwayTeam | FTHG | FTAG | FTR | HTHG | HTAG | HTR | ... | B365CAHH | B365CAHA | PCAHH | PCAHA | MaxCAHH | MaxCAHA | AvgCAHH | AvgCAHA | CurrentDivision | DayOfWeek | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | B1 | 2010-07-30 | Standard | Waregem | 1.0 | 1.0 | D | 0.0 | 1.0 | A | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 4 |
| 1 | B1 | 2010-07-31 | Anderlecht | Eupen | 4.0 | 1.0 | H | 0.0 | 1.0 | A | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| 2 | B1 | 2010-07-31 | Kortrijk | Club Brugge | 1.0 | 0.0 | H | 0.0 | 0.0 | D | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| 3 | B1 | 2010-07-31 | Mechelen | Lokeren | 2.0 | 0.0 | H | 0.0 | 0.0 | D | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| 4 | B1 | 2010-07-31 | St Truiden | Lierse | 1.0 | 0.0 | H | 1.0 | 0.0 | H | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 55501 | I1 | 2019-10-20 | Parma | Genoa | 5.0 | 1.0 | H | 3.0 | 0.0 | H | ... | 1.92 | 2.01 | 1.90 | 2.01 | 1.93 | 2.10 | 1.89 | 1.99 | 1 | 6 |
| 55502 | I1 | 2019-10-20 | Milan | Lecce | 2.0 | 2.0 | D | 1.0 | 0.0 | H | ... | 1.94 | 1.99 | 1.93 | 2.00 | 2.00 | 2.05 | 1.93 | 1.95 | 1 | 6 |
| 55503 | D2 | 2019-10-20 | Bochum | Karlsruhe | 3.0 | 3.0 | D | 3.0 | 2.0 | H | ... | 1.77 | 2.10 | 1.79 | 2.11 | 1.88 | 2.17 | 1.80 | 2.06 | 2 | 6 |
| 55504 | I1 | 2019-10-20 | Sassuolo | Inter | 3.0 | 4.0 | A | 1.0 | 3.0 | A | ... | 2.06 | 1.87 | 2.05 | 1.87 | 2.08 | 1.88 | 2.02 | 1.86 | 1 | 6 |
| 55505 | F1 | 2019-10-20 | Marseille | Strasbourg | 2.0 | 0.0 | H | 1.0 | 0.0 | H | ... | 1.83 | 2.10 | 1.83 | 2.09 | 1.85 | 2.10 | 1.81 | 2.06 | 1 | 6 |
55506 rows × 150 columns
In [23]:
df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 55506 entries, 0 to 55505 Columns: 150 entries, Div to DayOfWeek dtypes: float64(138), int64(3), object(9) memory usage: 63.5+ MB
In [24]:
df.shape
Out[24]:
(55506, 150)
In [25]:
df.columns
Out[25]:
Index(['Div', 'Date', 'HomeTeam', 'AwayTeam', 'FTHG', 'FTAG', 'FTR', 'HTHG',
'HTAG', 'HTR',
...
'B365CAHH', 'B365CAHA', 'PCAHH', 'PCAHA', 'MaxCAHH', 'MaxCAHA',
'AvgCAHH', 'AvgCAHA', 'CurrentDivision', 'DayOfWeek'],
dtype='object', length=150)
In [27]:
import numpy as np # linear algebra
import os # accessing directory structure
import pandas as pd
In [28]:
nRowsRead = 1000 # specify 'None' if want to read whole file
# european_soccer.csv may have more rows in reality, but we are only loading/previewing the first 1000 rows
df1 = pd.read_csv('european_soccer.csv', delimiter=',', nrows = nRowsRead)
df1.dataframeName = 'european_soccer.csv'
nRow, nCol = df1.shape
print(f'There are {nRow} rows and {nCol} columns')
There are 1000 rows and 150 columns
In [29]:
df1
Out[29]:
| Div | Date | HomeTeam | AwayTeam | FTHG | FTAG | FTR | HTHG | HTAG | HTR | ... | B365CAHH | B365CAHA | PCAHH | PCAHA | MaxCAHH | MaxCAHA | AvgCAHH | AvgCAHA | CurrentDivision | DayOfWeek | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | B1 | 2010-07-30 | Standard | Waregem | 1.0 | 1.0 | D | 0.0 | 1.0 | A | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 4 |
| 1 | B1 | 2010-07-31 | Anderlecht | Eupen | 4.0 | 1.0 | H | 0.0 | 1.0 | A | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| 2 | B1 | 2010-07-31 | Kortrijk | Club Brugge | 1.0 | 0.0 | H | 0.0 | 0.0 | D | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| 3 | B1 | 2010-07-31 | Mechelen | Lokeren | 2.0 | 0.0 | H | 0.0 | 0.0 | D | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| 4 | B1 | 2010-07-31 | St Truiden | Lierse | 1.0 | 0.0 | H | 1.0 | 0.0 | H | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 5 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 995 | SP1 | 2010-09-26 | Hercules | Sevilla | 2.0 | 0.0 | H | 2.0 | 0.0 | H | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 6 |
| 996 | D1 | 2010-09-26 | Kaiserslautern | Hannover | 0.0 | 1.0 | A | 0.0 | 1.0 | A | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 6 |
| 997 | D1 | 2010-09-26 | Wolfsburg | Freiburg | 2.0 | 1.0 | H | 1.0 | 1.0 | D | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 6 |
| 998 | I1 | 2010-09-26 | Juventus | Cagliari | 4.0 | 2.0 | H | 2.0 | 1.0 | H | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 6 |
| 999 | I1 | 2010-09-26 | Fiorentina | Parma | 2.0 | 0.0 | H | 0.0 | 0.0 | D | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1 | 6 |
1000 rows × 150 columns