import pandas as pd
threedays = ['2018/3/9', '2018/3/10', '2018/3/11']
df = pd.read_csv('test.csv')
df = df[df['data_date'].isin(threedays)].groupby(['data_date', 'product_id']).sum().reset_index(drop=False) # 過濾最近三天并求和

def f(df):
    if len(df) == 3:
        # 三天都有數(shù)
        r = [df['uv'][df['data_date'] == threedays[i]].values[0] for i in range(3)]
        return (r[2] - r[1] < 100) and r[2] > r[1] and (r[1] - r[0] < 100) and r[1] > r[0] #增長(zhǎng)大于0小于100
    else:
        return False

r = df.groupby('product_id').apply(f)
print(list(r[r==True].index))

條件2類比，把f改一下就ok了