Python package to create interactive heatmap based on d3js.
Project description
d3heatmap
d3heatmap
is a Python package to create interactive heatmaps based on d3js.
- The aim of d3heatmap is to create interactive heatmaps that can be used stand-alone and being visual attractive.
- This library does not require any additional installation of javascript, or downloads or setting paths to your systems environments. You just need python and pip install this library. There are two main functions to create a heatmap and there are some differences between the two. Read below for more details. Have fun!
Functionalities
d3heatmap.matrix
- Allows none symetric adjacency matrices.
- Colormap can be changed.
- No clustering.
- round-ish elements.
d3heatmap.heatmap
- Allows Clustering.
- Colormap is fixed.
- Advanced cluster coloring. Clusters are colored and within each cluster the color is incremental based on the value.
- Adjacency matrix must be symetric.
Star this repo if you like it! ⭐️
Installation
pip install d3heatmap
- Alternatively, install d3heatmap from the GitHub source:
git clone https://github.com/erdogant/d3heatmap.git
cd d3heatmap
pip install -U .
Import d3heatmap
from d3heatmap import d3heatmap as d3
Example 1: plot using the heatmap function
df = d3.import_example()
# Create heatmap
paths = results = d3.heatmap(df)
Klik on the figure for the interactive example.
Example 2: plot using the matrix function
df = d3.import_example(size=(6,20))
# Create heatmap
paths = d3.matrix(df)
Example 3: plot using the matrix function
# The dataframe contains more columns then rows. Adjust the size and color differently.
df = d3.import_example(size=(6,20))
# Create heatmap
paths = d3.matrix(df, fontsize=10, title='Hooray!', description='d3 matrix is created using https://github.com/erdogant/d3heatmap.', path='c:/temp/example/d3_matrix.html', width=600, height=300, cmap='interpolateGreens', vmin=1)
Example 4: Matrix with parameters changed:
# The dataframe contains more columns then rows. Adjust the size and color differently.
df = d3.import_example(size=(6,20))
# Create heatmap
paths = d3.matrix(df, fontsize=10, title='Hooray!', description='d3 matrix is created using https://github.com/erdogant/d3heatmap.', path='c:/temp/example/d3_matrix.html', width=600, height=300, cmap='interpolateGreens', vmin=1)
Example 4: Comparison heatmap vs matrix:
There are quit some differences between the heatmap
vs matrix
functionality.
df = d3.import_example()
results = d3.heatmap(df, title='d3heatmap with the heatmap function.', path='heatmap.html')
results = d3.matrix(df, title='d3heatmap with the matrix function.', cmap='interpolatePRGn', path='matrix.html', width=700, height=700)
Citation
Please cite d3heatmap in your publications if this is useful for your research. See right column for citation information.
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