fee64903688521ecfce67002e685af2b246bbf97,numerox/report.py,,earn,#Any#Any#,114

Before Change

    t2 = df["round"].max()
    fmt = "Top earners (R{} - R{}) at {:.2f} usd/nmr"
    print(fmt.format(t1, t2, price))
    df = df.drop("round", axis=1)
    df = df.groupby("user").sum()
    profit = df["usd_main"] + df["usd_stake"]
    nmr = df["nmr_main"] + df["nmr_stake"] - df["nmr_burn"]
    profit += price * nmr
    df["profit_usd"] = profit
    df = df.sort_values("profit_usd", ascending=False)
    if ntop < 0:
        df = df[ntop:]
    else:
        df = df[:ntop]
    df = df.round()
    cols = ["usd_main", "usd_stake", "nmr_main", "nmr_burn", "profit_usd"]
    df[cols] = df[cols].astype(int)
    return df

After Change

    t2 = df["round"].max()
    fmt = "Top earners (R{} - R{}) at {:.2f} usd/nmr"
    print(fmt.format(t1, t2, price))
    df = df[["user", "usd_main", "usd_stake", "nmr_main", "nmr_stake",
            "nmr_burn"]]
    df = df.groupby("user").sum()
    profit = df["usd_main"] + df["usd_stake"]
    nmr = df["nmr_main"] + df["nmr_stake"] - df["nmr_burn"]
    profit += price * nmr
    df["profit_usd"] = profit
    df = df.sort_values("profit_usd", ascending=False)
    if ntop < 0:
        df = df[ntop:]
    else:
        df = df[:ntop]
    df = df.round()
    cols = ["usd_main", "usd_stake", "nmr_main", "nmr_stake", "nmr_burn",
            "profit_usd"]
    df[cols] = df[cols].astype(int)
    return df

Instances