Null issue check throwing an error

[sanjanag]

Error

Error in null: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
Failed to check for these issue types: [NullIssueManager]

Dataset: https://www.kaggle.com/datasets/laotse/credit-risk-dataset/data

import pandas as pd
from cleanlab import Datalab
from sklearn.preprocessing import StandardScaler

if __name__ == "__main__":
    df = pd.read_csv("/Users/sanjana/cleanlab_home/sandbox/regression-tests/credit_risk_dataset.csv")
    # df = df[~df.isnull().any(axis=1)].copy()
    feature_columns = df.columns.to_list()
    feature_columns.remove("loan_status")

    X_raw = df[feature_columns]
    labels = df["loan_status"]

    cat_features = [
        "person_home_ownership",
        "loan_intent",
        "loan_grade",
        "cb_person_default_on_file",
    ]
    numeric_features = [
        "person_age",
        "person_income",
        "person_emp_length",
        "loan_amnt",
        "loan_int_rate",
        "loan_percent_income",
        "cb_person_cred_hist_length",
    ]
    X_encoded = pd.get_dummies(X_raw, columns=cat_features, drop_first=True)
    scaler = StandardScaler()
    X_processed = X_encoded.copy()
    X_processed[numeric_features] = scaler.fit_transform(X_encoded[numeric_features])

    lab = Datalab({"X": X_processed.values, "y": labels})

    lab.find_issues(features=X_processed.values, issue_types = {"null": {}})

[sanjanag]

Suggestion:
Change np.isnan(features) to pd.isnull(features) here