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An intuitive, Pythonic way to work with tabular data

Project description

Python DataMatrix

An intuitive, Pythonic way to work with tabular data.

Sebastiaan Mathôt
Copyright 2015-2022
https://pydatamatrix.eu/

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About

DataMatrix is an intuitive Python library for working with column-based and continuous data. It's a light-weight and easy-to-use alternative to pandas.

datamatrix is also one of the core libraries of OpenSesame, a graphical experiment builder for the social sciences, and Rapunzel, a modern code editor for numerical computing with Python and R.

Ultra-short cheat sheet

from datamatrix import DataMatrix, io
# Read a DataMatrix from file
dm = io.readtxt('data.csv')
# Create a new DataMatrix
dm = DataMatrix(length=5)
# The first two rows
print(dm[:2])
# Create a new column and initialize it with the Fibonacci series
dm.fibonacci = 0, 1, 1, 2, 3
# Remove 0 and 3 with a simple selection
dm = (dm.fibonacci > 0) & (dm.fibonacci < 3)
# Get a list of indices that match certain criteria
print(dm[(dm.fibonacci > 0) & (dm.fibonacci < 3)])
# Select 1, 1, and 2 by matching any of the values in a set
dm = dm.fibonacci == {1, 2}
# Select all odd numbers with a lambda expression
dm = dm.fibonacci == (lambda x: x % 2)
# Change all 1s to -1
dm.fibonacci[dm.fibonacci == 1] = -1
# The first two cells from the fibonacci column
print(dm.fibonacci[:2])
# Column mean
print('Mean: %s' % dm.fibonacci.mean)
# Multiply all fibonacci cells by 2
dm.fibonacci_times_two = dm.fibonacci * 2
# Loop through all rows
for row in dm:
    print(row.fibonacci) # get the fibonacci cell from the row
# Loop through all columns
for colname, col in dm.columns:
    for cell in col: # Loop through all cells in the column
        print(cell) # do something with the cell
# Or just see which columns exist
print(dm.column_names)

Dependencies

  • Python >= 3.7

Optional:

  • numpy and scipy for using the FloatColumn, IntColumn, and SeriesColumn objects
  • prettytable for creating a text representation of a DataMatrix (e.g. to print it out)
  • openpyxl for reading and writing .xlsx files
  • fastnumbers for improved performance

Installation

PyPi

pip install python-datamatrix

Anaconda

conda install datamatrix -c conda-forge

Ubuntu

sudo add-apt-repository ppa:smathot/cogscinl
sudo apt-get update
sudo apt install python3-datamatrix

Documentation

See https://pydatamatrix.eu/

License

python-datamatrix is licensed under the GNU General Public License v3.

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