如何转换 html table 中的 2 个数据列表

Question

我试图在 Python 中获得我在 Binance 的所有未平仓头寸这是我的代码 -

from binance.client import Client
client = Client("api key", "secret key")
import pandas as pd
import html

pos_info = client.futures_position_information()

for b in pos_info:
    if float(b['positionAmt']) > 0:
        print(b)

我得到这个作为输出

{'symbol': 'ETHUSDT', 'positionAmt': '0.283', 'entryPrice': '3520.15', 'markPrice': '3473.53457777', 'unRealizedProfit': '-13.19216449', 'liquidationPrice': '3184.27536722', 'leverage': '10', 'maxNotionalValue': '4000000', 'marginType': 'isolated', 'isolatedMargin': '86.36610623', 'isAutoAddMargin': 'false', 'positionSide': 'BOTH', 'notional': '983.01028550', 'isolatedWallet': '99.55827072', 'updateTime': 1648860967577}
{'symbol': 'SANDUSDT', 'positionAmt': '274', 'entryPrice': '3.642445620438', 'markPrice': '3.63380000', 'unRealizedProfit': '-2.36889988', 'liquidationPrice': '3.31094684', 'leverage': '10', 'maxNotionalValue': '250000', 'marginType': 'isolated', 'isolatedMargin': '97.53375892', 'isAutoAddMargin': 'false', 'positionSide': 'BOTH', 'notional': '995.66120000', 'isolatedWallet': '99.90265880', 'updateTime': 1648864488900}

现在如何在 Html Table

中获取这些值

Answer 1

a = pd.DataFrame()
for b in pos_info:
    if float(b['positionAmt']) > 0:
        a.append(b, ignore_index=True)

Answer 2

您可以使用 Pandas 函数 to_html。

df = pd.DataFrame([b for b in pos_info if float(b['positionAmt']) > 0])
df.to_html('output.html', index=False)

输出table：

symbol	positionAmt	entryPrice	markPrice	unRealizedProfit	liquidationPrice	leverage	maxNotionalValue	marginType	isolatedMargin	isAutoAddMargin	positionSide	notional	isolatedWallet	updateTime
ETHUSDT	0.283	3520.15	3473.53457777	-13.19216449	3184.27536722	10	4000000	isolated	86.36610623	false	BOTH	983.01028550	99.55827072	1648860967577
SANDUSDT	274	3.642445620438	3.63380000	-2.36889988	3.31094684	10	250000	isolated	97.53375892	false	BOTH	995.66120000	99.90265880	1648864488900

如何转换 html table 中的 2 个数据列表

How Can I Convert 2 list of data in html table

python

dataframe

pandas

cryptocurrency

binance