def main():
# set example username and round
example_username = "******"
example_round = 51
# set up paths for download of dataset and upload of predictions
now = datetime.now().strftime("%Y%m%d")
dataset_parent_folder = "./dataset"
dataset_name = "numerai_dataset_{0}/example_predictions.csv".format(now)
dataset_path = "{0}/{1}".format(dataset_parent_folder, dataset_name)
# most API calls do not require logging in
napi = NumerAPI(verbosity="info")
# log in
credentials = napi.login()
print(json.dumps(credentials, indent=2))
# download current dataset
dl_succeeded = napi.download_current_dataset(
dest_path=dataset_parent_folder, unzip=True)
print("download succeeded: " + str(dl_succeeded))
# get competitions (returned data is too long to print practically)
# all_competitions = napi.get_all_competitions()
# current_competition = napi.get_competition()
# example_competition = napi.get_competition(round_id=example_round)
# get user earnings per round
user_earnings = napi.get_earnings_per_round()
print("user earnings:")
print(user_earnings)
example_earnings = napi.get_earnings_per_round(username=example_username)
print("example earnings:")
print(example_earnings)
# get scores for user
personal_scores = napi.get_scores_for_user()
print("personal scores:")
print(personal_scores)
other_scores = napi.get_scores_for_user(username=example_username)
print("other scores:")
print(other_scores)
# get user information
current_user = napi.get_user()
print("current user:"******"example user:"******"submission:")
print(json.dumps(submission, indent=2))
# upload predictions
ul_succeeded = napi.upload_predictions(dataset_path)
print("upload succeeded: " + str(ul_succeeded))
#!/usr/bin/env python
from numerapi.numerapi import NumerAPI
# Most API calls don't require logging in:
napi = NumerAPI()
print("Downloading the current dataset...")
napi.download_current_dataset(dest_path='.', unzip=True)
# User-specific information
username = '******'
print("Getting information about user {}...".format(username))
print(napi.get_user(username))
print(napi.get_scores(username))
print(napi.get_earnings_per_round(username))
# Get the leaderboard for the current round of the competition
print(napi.get_new_leaderboard())
# Get the leaderboard for previous rounds of the competition
print(napi.get_new_leaderboard(40))
# Uploading predicitons to your account require your credentials:
# napi.credentials = ("YOUR_EMAIL", "YOUR_PASSWORD")
# napi.upload_prediction('./numerai_datasets/example_predictions.csv')