Skip to main content

Really lightweight lib for peeking into xlsx column/row size before you try to open the file with something else

Project description

# xlsxmetadata
Really lightweight lib for peeking into xlsx column/row size before you try to open the file with something else

### setup
```pip install xlsxmetadata```

### reading from file...
```python
from xlsxmetadata.metadata import get_dimensions, get_sheet_names

my_big_file = '/path/to/my/real_big_file.xlsx'

sheet_names = get_sheet_names(my_big_file)
print(sheet_names)

>>> {'test_sheet': 1}

dimensions = get_dimensions('/path/to/my/real_big_workbook.xlsx', 'test_sheet')
print(dimensions['end_column'])

>>> 16834

print(dimensions['end_row'])

>>> 1200000
```

### reading from flask form...
```python
from io import BytesIO
from xlsxmetadata.metadata import get_dimensions, get_sheet_names

my_big_file = request.files.get('my_big_file')

sheet_names = get_sheet_names(BytesIO(my_big_file.read()))
print(sheet_names)

>>> {'test_sheet': 1}

# you will probably have to reset the read-head
my_big_file.seek(0)

dimensions = get_dimensions(BytesIO(my_big_file.read()), 'test_sheet')
print(dimensions['end_column'])

>>> 16834

print(dimensions['end_row'])

>>> 1200000
```

This information is stored as metadata in the first few bytes of `.xlsx` files. For some reason no other libraries (xlrd, openpyxl) seem to give the users access to this data directly.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
xlsxmetadata-0.0.5.tar.gz (2.2 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page