您可以执行以下操作：

# Stores new data in array for dataframe
highValues = []

for i in range(0, len(df), 2):

    # Checks to see which "high" is higher
    if (df.loc[i].at["high"] > df.loc[i+1].at["high"]):
        # Appends data to array
        newDataFrame.append(df.loc[i].at["high"])

    if (df.loc[i].at["high"] < df.loc[i+1].at["high"]):
        # Appends data to array
        newDataFrame.append(df.loc[i+1].at["high"])

# Creates new pandas dataframe with array contents
newDF = pd.DataFrame(highValues)

可以使用groupby将DF分组为2行一组，然后选择'high'最大的行。索引的整数除法排列2行一组：

df2 = df.iloc[df.groupby(df.index//2)['high'].agg(pd.Series.idxmax)]