学习熊猫，一个功能强大的库，用于数据可视化，数据操作和分析

<code class="python">import requests  # 用于数据获取
import pandas as pd  # 用于数据处理和可视化</code>

<code class="python">def get_historic_price(symbol, after='2024-12-01'):
    url = 'https://api.kraken.com/0/public/ohlc'
    pair = f"{symbol.upper()}USD"
    resp = requests.get(url, params={
        "pair": pair,
        'interval': 60,  # 每小时数据
        'since': str(int(pd.Timestamp(after).timestamp()))
    })
    resp.raise_for_status()
    data = resp.json()
    results_key = [k for k in data['result'].keys() if k != 'last'][0]
    results = [
        (close_time, float(open), float(high), float(low), float(close), float(volume))
        for (close_time, open, high, low, close, vwap, volume, count)
        in data['result'][results_key]
    ]
    df = pd.DataFrame(results, columns=[
        'closetime', 'openprice', 'highprice', 'lowprice', 'closeprice', 'volume'
    ])
    df['closetime'] = pd.to_datetime(df['closetime'], unit='s')
    df.set_index('closetime', inplace=True)
    return df</code>

<code class="python">last_week = pd.Timestamp.now() - pd.Timedelta(days=7)
btc = get_historic_price('btc', after=last_week)</code>

<code class="python">btc.head()  # 查看前几行
btc.info()   # 查看数据摘要</code>

<code class="python">btc['closeprice'].plot(figsize=(15, 7))</code>