可以将read_excel与多个图纸名称一起使用：

import pandas as pd

data2g = []
data3g = []
data4g = []

for xlsx in pathlib.Path('mobile').glob('*.xlsx'):
    df2g, df3g, df4g = pd.read_excel(xlsx, sheet_name=['2G', '3G', '4G']).values()
    data2g.append(df2g)
    data3g.append(df3g)
    data4g.append(df4g)

df2g = pd.concat(data2g, ignore_index=True)
df3g = pd.concat(data3g, ignore_index=True)
df4g = pd.concat(data4g, ignore_index=True)

如您所见，您可以使用循环来提高可读性：

import pandas as pd
from collections import defaultdict

data = defaultdict(list)
for xlsx in pathlib.Path('mobile').glob('*.xlsx'):
    out = pd.read_excel(xlsx, sheet_name=['2G', '3G', '4G'])
    for k, v in out.items():
        data[k].append(v)
df2g, df3g, df4g = [pd.concat(data[k], ignore_index=True) for k in data]