<jupyter_start><jupyter_text>ClubElo<jupyter_code>elo = sd.ClubElo()
print(elo.__doc__)<jupyter_output>Provides pd.DataFrames from CSV API at http://api.clubelo.com.

    Data will be downloaded as necessary and cached locally in
    ``~/soccerdata/data/ClubElo``.

    Since the source does not provide league names, this class will not filter
    by league. League names will be inserted from the other sources where
    available. Leagues that are only covered by clubelo.com will have NaN
    values.

    Parameters
    ----------
    proxy : 'tor' or or dict or list(dict) or callable, optional
        Use a proxy to hide your IP address. Valid options are:
            - "tor": Uses the Tor network. Tor should be running in
              the background on port 9050.
            - dict: A dictionary with the proxy to use. The dict should be
              a mapping of supported protocols to proxy addresses. For example::

                  {
                      'http': 'http://10.10.1.10:3128',
                      'https': 'http://10.10.1.10:1080',
                  }

            - li[...]<jupyter_text>ELO scores for all teams at specified date<jupyter_code>current_elo = elo.read_by_date()
current_elo.head()<jupyter_output><empty_output><jupyter_text>Full ELO history for one club<jupyter_code>barca_elo = elo.read_team_history("Barcelona")
barca_elo.head()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.0936834634492548, 'fraction_numerical': 0.018452803406671398, 'mean_word_length': 2.60613810741688, 'pattern_counts': {'":': 1, '<': 12, '<?xml version=': 0, '>': 12, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 2, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '49979', 'license': 'Apache-2.0', 'n_tokens_mistral': 445, 'n_tokens_neox': 411, 'n_words': 137, 'path': 'docs/datasources/ClubElo.ipynb', 'repo_name': 'probberechts/soccerdata', 'size': '1409'}