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Read and write xlsx/xlst using pandas/openpyxl while preserving Excel formatting

Project description

xlPandas

Read and write Excel xlsx using pandas/openpyxl without destroying formatting.

Sometimes you have a nicely formatted worksheet, but you'd like to work with it using pandas, or perhaps you want to write data to an Excel template.

Pandas can read and write Excel files using xlrd, but treats them like csvs. xlPandas uses openpyxl to access data while preserving template formatting, macros, and other worksheet attributes.

Install

pip install xlpandas

Example

import xlpandas as xpd

# Read excel file
df = xpd.read_file('template.xlsx', skiprows=2)
print(df.columns)

# Modify dataframe
df['new_column'] = True

# Access openpyxl worksheet
sheet = df.to_sheet()
sheet.cell(1,1).value = 'title'

# From openpyxl worksheet
df = xpd.xlDataFrame(sheet)

# Write file
df.to_file('out.xlsx')

Project details


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Files for xlpandas, version 0.1.2
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Filename, size xlpandas-0.1.2-py3-none-any.whl (4.1 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size xlpandas-0.1.2.tar.gz (3.0 kB) File type Source Python version None Upload date Hashes View hashes

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