pandas sort columns separatelly

import pandas as pd

summary = pd.DataFrame({
    'two': pd.np.random.randint(0, 300, size=100),
    'three': pd.np.random.randint(300, 600, size=100),
    'four': pd.np.random.randint(600, 900, size=100),
})

print(df.head())

top10 = pd.DataFrame()  # new dataframe for results

for name in summary.columns:
    column = summary[name].sort_values(ascending=False).head(10)
    column = column.reset_index(drop=True)
    top10[name] = column

    #top10[name] = summary[name].sort_values(ascending=False).head(10).reset_index(drop=True)

print(top10.head())