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初级

合并homeOwnership稀疏类别

未完成
初级参考 完整示例代码供参考，建议自己理解后重新输入 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_raw_csv = open_url("https://data.zuihe.com/dbd/riskctrl/state_02/loans_raw.csv").read()
    loans_clean_csv = open_url("https://data.zuihe.com/dbd/riskctrl/state_02/loans_clean.csv").read()
    import pandas as pd
    from io import StringIO
    df = pd.read_csv(StringIO(loans_raw_csv))
    print("替换前:")
    print(df['homeOwnership'].value_counts().to_string())
    df['homeOwnership'] = df['homeOwnership'].replace({'ANY':'OTHER','NONE':'OTHER'})
    print("替换后:")
    print(df['homeOwnership'].value_counts().to_string())

示例

输入
solve()
期望输出
替换前:
homeOwnership
0    4953
1    3995
2    1047
5       2
3       2
4       1
替换后:
homeOwnership
0    4953
1    3995
2    1047
5       2
3       2
4       1
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