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import requests
import pandas as pd
import json

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{“api_key”: “paste_your_actual_api_key_here”}

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keys = get_keys("/Users/{your_username}/.secret/api_football.json")
api_key = keys['api_key']

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url = "https://api-football-v1.p.rapidapi.com/v2/leagues/seasonsAvailable/524"
headers = {
    'x-rapidapi-host': "api-football-v1.p.rapidapi.com",
    'x-rapidapi-key': api_key
    }
resp = requests.request("GET", url, headers=headers)

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resp.status_code == requests.codes.ok

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print(resp.text)

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# Check keys of response
resp.json().keys()

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# Check keys at next level of response
resp.json()['api'].keys()

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# Create dictionary of results for 'leagues' key
leagues_dict = resp.json()['api']['leagues']

# Visualize df for all English Premier league seasons available
leagues_df = pd.DataFrame.from_dict(leagues_dict)
display(leagues_df)

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# Plot f1 scores and number of pseudo-labels added for all iterations

fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1, figsize=(6,8))
ax1.plot(range(iterations), test_f1s)
ax1.set_ylabel('f1 Score')
ax2.bar(x=range(iterations), height=pseudo_labels)
ax2.set_ylabel('Pseudo-Labels Created')
ax2.set_xlabel('# Iterations');

# View confusion matrix after self-training