如何在同一张图表中同时绘制价格和数量

Question

我有一个如下所述的数据框：

Date,Time,Price,Volume
31/01/2019,09:15:00,10691.50,600
31/01/2019,09:15:01,10709.90,13950
31/01/2019,09:15:02,10701.95,9600
31/01/2019,09:15:03,10704.10,3450
31/01/2019,09:15:04,10700.05,2625
31/01/2019,09:15:05,10700.05,2400
31/01/2019,09:15:06,10698.10,3000
31/01/2019,09:15:07,10699.90,5925
31/01/2019,09:15:08,10699.25,5775
31/01/2019,09:15:09,10700.45,5925
31/01/2019,09:15:10,10700.00,4650
31/01/2019,09:15:11,10699.40,8025
31/01/2019,09:15:12,10698.95,5025
31/01/2019,09:15:13,10698.45,1950
31/01/2019,09:15:14,10696.15,3900
31/01/2019,09:15:15,10697.15,2475
31/01/2019,09:15:16,10697.05,4275
31/01/2019,09:15:17,10696.25,3225
31/01/2019,09:15:18,10696.25,3300

数据帧包含大约8000行。我想在同一张图表中同时绘制价格和数量。 （音量范围：0-8,00,000）

Answer 1

假设您要比较价格和数量与时间的关系，请尝试以下操作：

TcpListener

修改：x轴自定义

由于您要自定义x轴，请尝试以下操作（这只是您可以遵循的基本示例）：

df = pd.read_csv('your_path_here')
df.plot('Time', ['Price', 'Volume'], secondary_y='Price')

然后，您需要创建两个列表，一个包含x轴上的位置，另一个包含标签。 假设您每5秒钟要添加一次标签（您可能会在30分钟时提出请求，但不能使用您提供的数据）

# Create a Datetime column while parsing the csv file
df = pd.read_csv('your_path_here', parse_dates= {'Datetime': ['Date', 'Time']})

然后您绘制将位置和标签列表传递到positions = [p for p in df.Datetime if p.second in range(0, 60, 5)] labels = [l.strftime('%H:%M:%S') for l in positions] 和set_xticks

set_xticklabels