gilfoyle-forked


Namegilfoyle-forked JSON
Version 1.2.0 PyPI version JSON
download
home_pagehttps://github.com/sr-auto/gilfoyle
SummaryGilfoyle is a Python-based report generator for data scientists who use Pandas.
upload_time2024-05-14 15:18:08
maintainerNone
docs_urlNone
authorShahab Rashid
requires_pythonNone
licenseMIT
keywords python reports reporting pandas pdf
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Gilfoyle
Gilfoyle is a report generation tool for Python which makes it quick and easy to create stylish looking reports or presentations using data. 

#### Installation
You can install Gilfoyle by entering `pip3 install gilfoyle-forked` in your terminal. 

#### Usage
Gilfoyle can be used within a regular Python script or from inside a Jupyter notebook. See the `example.py`
file for some working examples. 

```python
# Load packages
import pandas as pd
from gilfoyle import report

# Define output filename
pdf = report.Report(output='example.pdf')

# Set report title
pdf.set_title('Monthly ecommerce report')

# Create payload
payload = pdf.get_payload()

# Add a cover slide
payload = pdf.add_page(payload,
                       page_type='cover',
                       page_title='Monthly report',
                       page_subheading='Matt Clarke')

# Fetch your data
df = pd.read_csv('data.csv', 
                 skiprows=1,
                 names=['Period', 'Entrances', 'Sessions', 'Pageviews',
                        'Transactions', 'Conversion Rate', 'AOV']).head(13)

payload = pdf.add_page(payload,
                       page_type='report',
                       page_layout='simple',
                       page_title='Organic search',
                       page_dataframe=df
                       )

# Save to PDF
pdf.create_report(payload, verbose=True, output='pdf')
```


#### Dependencies

Gilfoyle is written in Python 3 and uses the Jinja 2 templating engine, the Bulma HTML and CSS framework, and the Weasyprint PDF generator package. Gilfoyle is compatible with Pandas and can automatically turn your dataframes into tables. 


            

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    "description": "# Gilfoyle\nGilfoyle is a report generation tool for Python which makes it quick and easy to create stylish looking reports or presentations using data. \n\n#### Installation\nYou can install Gilfoyle by entering `pip3 install gilfoyle-forked` in your terminal. \n\n#### Usage\nGilfoyle can be used within a regular Python script or from inside a Jupyter notebook. See the `example.py`\nfile for some working examples. \n\n```python\n# Load packages\nimport pandas as pd\nfrom gilfoyle import report\n\n# Define output filename\npdf = report.Report(output='example.pdf')\n\n# Set report title\npdf.set_title('Monthly ecommerce report')\n\n# Create payload\npayload = pdf.get_payload()\n\n# Add a cover slide\npayload = pdf.add_page(payload,\n                       page_type='cover',\n                       page_title='Monthly report',\n                       page_subheading='Matt Clarke')\n\n# Fetch your data\ndf = pd.read_csv('data.csv', \n                 skiprows=1,\n                 names=['Period', 'Entrances', 'Sessions', 'Pageviews',\n                        'Transactions', 'Conversion Rate', 'AOV']).head(13)\n\npayload = pdf.add_page(payload,\n                       page_type='report',\n                       page_layout='simple',\n                       page_title='Organic search',\n                       page_dataframe=df\n                       )\n\n# Save to PDF\npdf.create_report(payload, verbose=True, output='pdf')\n```\n\n\n#### Dependencies\n\nGilfoyle is written in Python 3 and uses the Jinja 2 templating engine, the Bulma HTML and CSS framework, and the Weasyprint PDF generator package. Gilfoyle is compatible with Pandas and can automatically turn your dataframes into tables. \n\n",
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