How can I select the Top 10 coins (by descending order) of the below dataframe for each given day?

I am attaching a code sample for generating a dummy sample

import pandas as pd
import yfinance as yf

df = pd.DataFrame()

for i in ['BTC-USD', 'ETH-USD', 'XRP-USD']:
    ticker = yf.Ticker(i)
    data = ticker.history(period="max")
    data.reset_index('Date', inplace=True)
    data['value'] = np.random.random_sample()
    data['coin'] = i
    data.drop(columns=['Open', 'High', 'Low', 'Close', 'Volume', 'Dividends', 'Stock Splits'], inplace=True)
    data.columns = ['date', 'coin', 'value']
    data.set_index(['date', 'coin'], inplace=True)
    df = df.append(data)

I am looking for an output format like :

CodePudding user response：

You can use this code:

df['value'].groupby(level=0).nlargest(10).reset_index(level='coin')['coin'].groupby(level=0).agg(list)