如何将数据类型从object转换为numeric &然后求出pandas中每一行的平均值？例如：将'<17,500，>=15,000‘转换为16250(mean val)

import pandas as pd
import re

data = {'value': ['<17,500', '>=15,000']}
df = pd.DataFrame(data)

def convert_to_numeric(value):
    value = re.sub('[^\d.]', '', value)  # 去除非数字和小数点的字符
    return pd.to_numeric(value)

df['value'] = df['value'].apply(convert_to_numeric)

df['mean'] = df.mean(axis=1)

print(df['mean'])