Wrapper around xlsxwriter to improve usability
Project description
Excelipy
Installation
You can install the package using pip:
pip install excelipy
Usage
The idea for this package is for it to be a declarative way of using the xlsxwritter. It allows you to define Excel files using Python objects, which can be more intuitive and easier to manage than writing raw Excel files. Here is a simple example:
import logging
from pathlib import Path
import pandas as pd
import excelipy as ep
def main():
df = pd.DataFrame(
{
"testing": [1, 2, 3],
"tested": ["Yay", "Thanks", "Bud"],
}
)
sheets = [
ep.Sheet(
name="Hello!",
components=[
ep.Text(
text="This is my table",
style=ep.Style(bold=True),
width=4,
),
ep.Fill(
width=4,
style=ep.Style(background="#D0D0D0"),
),
ep.Table(
data=df,
header_style=ep.Style(
bold=True,
border=5,
border_color="#F02932",
),
body_style=ep.Style(font_size=18),
column_style={
"testing": ep.Style(
font_size=10,
align="center",
),
},
column_width={
"tested": 20,
},
row_style={
1: ep.Style(
border=2,
border_color="#F02932",
)
},
style=ep.Style(padding=1),
).with_stripes(pattern="even"),
],
style=ep.Style(
font_size=14,
font_family="Times New Roman",
padding=1,
),
),
]
excel = ep.Excel(
path=Path("filename.xlsx"),
sheets=sheets,
)
ep.save(excel)
if __name__ == "__main__":
logging.basicConfig(level=logging.DEBUG)
main()
This is an exaggerated example, to show the capabilities of the package. You can see that for a table, you can define the header style, body style, column styles, row styles, and even the column widths. You can also add text and fill components to the sheet.
This is the result:
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