Description
0.25.1 seems to have reintroduced #20434
Update: not the case, but the same problem happens when feeding excel_read() with an urllib3.response.HTTPResponse object. Code sample updated.
Code Sample, a copy-pastable example if possible
import pandas
import requests
url = "https://raw.github.com/pandas-dev/pandas/master/pandas/tests/io/data/test1.xls"
r = requests.get(url, stream=True)
df = pandas.read_excel(r.raw)
print(df)
Problem description
Using 0.25.1 I get the same problem and output as described in #20434 with the code above.
Expected Output
See #20434
Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
pandas : 0.25.1
numpy : 1.17.2
pytz : 2019.3
dateutil : 2.8.0
pip : 19.2.3
setuptools : 41.4.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
xarray : None
xlrd : 1.2.0
xlwt : None
xlsxwriter : None