# Calendar heatmaps from Pandas time series data
[](https://badge.fury.io/py/calmap)  [](https://travis-ci.com/MarvinT/calmap) [](https://coveralls.io/github/MarvinT/calmap?branch=master) [](https://github.com/ambv/black) [](https://opensource.org/licenses/MIT) [](https://pepy.tech/project/calmap)
Plot [Pandas](http://pandas.pydata.org/) time series data sampled by day in a heatmap per calendar year, similar to GitHub’s contributions plot, using [matplotlib](http://matplotlib.org/).

## Usage
See the [documentation](https://pythonhosted.org/calmap).
## Installation
To install the latest release via PyPI using pip:
pip install calmap
Metadata
Release files for calmap 0.0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| calmap-0.0.11.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| calmap-0.0.11-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 15.2 kB
Release files / calmap-0.0.11.tar.gz
| Download URL | calmap-0.0.11.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
270ddedd9b470d3aef4328887ed60e1e3d3ac4fc8d3335874663d8d178d5b9bc
|
|
BLAKE2b-256 checksum How to use checksums |
b139d191a4c2faf42e3ce98b1fd122f09e72759e394cdde703cf529b7777a178
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Release files / calmap-0.0.11-py2.py3-none-any.whl
| Download URL | calmap-0.0.11-py2.py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
4200ba7308c13dc5d94e444823334a10c396638bc03af2f6fce7c1cc45f20cf5
|
|
BLAKE2b-256 checksum How to use checksums |
94474ca1e36da124e0fe17d27937f35809df1841fb8e2977c61ca00df60c2429
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|