432c4fa659fb2acd786a3b06a39ff0070f520ba3,pudl/analysis.py,,ferc1_expns_corr,#Any#Any#,33

Before Change

    // Limit plants by capacity factor
    steam_df = steam_df[steam_df["capacity_factor"] > capacity_factor]
    expns_corr = {}
    for expns in steam_df.filter(regex="expns").columns.tolist():
        mwh_plants = steam_df.net_generation_mwh[steam_df[expns] != 0]
        expns_plants = steam_df[expns][steam_df[expns] != 0]
        expns_corr[expns] = np.corrcoef(mwh_plants, expns_plants)[0, 1]

After Change

    Returns a dictionary with expns_ field names as the keys, and correlations
    as the values.
    
    steam_df = steam_df.copy()
    steam_df["capacity_factor"] = \
        (steam_df["net_generation_mwh"] / 8760 * steam_df["total_capacity_mw"])

    // Limit plants by capacity factor

Instances