read_excel throws ValueError: cannot specify usecols when specifying a multi-index header


```
df=pd.read_excel(xl_file, sheet_name=xl_sheet,header=[18,19], usecols='B,D:J,L')

```
#### Problem description

df=pd.read_excel(xl_file, sheet_name=xl_sheet,header=[18,19], usecols='B,D:J,L')

throws the following error after conda update:

ValueError: cannot specify usecols when specifying a multi-index header

The script run perfectly fine before.


#### Expected Output

Dataframe with multi-index columns, as before.

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.7.1.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.24.1
pytest: 3.3.2
pip: 19.0.3
setuptools: 40.8.0
Cython: 0.27.3
numpy: 1.15.4
scipy: None
pyarrow: None
xarray: None
IPython: 7.3.0
sphinx: 1.6.6
patsy: 0.5.0
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: None
numexpr: None
feather: None
matplotlib: 2.1.2
openpyxl: 2.4.10
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml.etree: None
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.1
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None

</details>
