Lambda: Unable to allocate array with shape (133271, 319) and data type object: MemoryError
#### Code Sample, a copy-pastable example if possible

```python
# Your code here
obj=s3.get_object(Bucket=bucket,Key=file_name)
 body = obj['Body'].read()
 df = pd.read_excel(io.BytesIO(body),encoding='utf-8',sheet_name='Sheet1',skiprows=4,usecols=use_cols,header=None,names=col_Names,)
```
#### Problem description

Excel read file crashes when reading. Specific excel sheet has 300 columns and 130,000 records, reduced columns to  40 by defining filter.

Error Reported:
Unable to allocate array with shape (133271, 319) and data type object: MemoryError
Traceback (most recent call last):
  File "/var/task/lambda_function.py", line 49, in lambda_handler
    df = pd.read_excel(io.BytesIO(body),encoding='utf-8',sheet_name='Products',skiprows=4,usecols=use_cols,header=None,names=col_Names,)
  File "/opt/python/lib/python3.6/site-packages/pandas/util/_decorators.py", line 208, in wrapper
    return func(*args, **kwargs)
  File "/opt/python/lib/python3.6/site-packages/pandas/io/excel/_base.py", line 340, in read_excel
    **kwds
  File "/opt/python/lib/python3.6/site-packages/pandas/io/excel/_base.py", line 883, in parse
    **kwds
  File "/opt/python/lib/python3.6/site-packages/pandas/io/excel/_base.py", line 516, in parse
    output[asheetname] = parser.read(nrows=nrows)
  File "/opt/python/lib/python3.6/site-packages/pandas/io/parsers.py", line 1154, in read
    ret = self._engine.read(nrows)
  File "/opt/python/lib/python3.6/site-packages/pandas/io/parsers.py", line 2493, in read
    alldata = self._rows_to_cols(content)
  File "/opt/python/lib/python3.6/site-packages/pandas/io/parsers.py", line 3160, in _rows_to_cols
    zipped_content = list(lib.to_object_array(content, min_width=col_len).T)
  File "pandas/_libs/lib.pyx", line 2279, in pandas._libs.lib.to_object_array
MemoryError: Unable to allocate array with shape (133271, 319) and data type object


If the issue has not been resolved there, go ahead and file it in the issue tracker.

#### Expected Output

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

<details>

[paste the output of ``pd.show_versions()`` here below this line]
pandas 0.25.3
</details>
