Multidirectional Graph
Multidirectional Graph is a Python package that allows you to easily create graphs with multiple evaluation criteria, such as good, neutral, and bad.
Installation
You can install Multidirectional Graph using pip:
pip install multidirectional-graph
Usage
Here is an example of how to use Multidirectional Graph:
from multidirectional_graph import MultidirectionalGraph
data = {
"Leitura": {
"categ 1A": 5,
"categ 1B": 9,
"categ 1C": 5,
},
"Escrita": {
"categ 2A": 2,
"categ 2B": 4,
"categ 2C": 9,
"categ 2D": 3,
},
"Nome extremamente grande\nque não cabe no espaço": {
"categ 3A": 6,
"categ 3B": 7,
},
"Listening": {
"categ 4A": 2,
"categ 4B": 3,
},
}
added_data = {
"categ 1A": 4,
"categ 1B": 5,
"categ 1C": 4,
"categ 2A": 3,
"categ 2B": 3,
"categ 2C": 7,
"categ 2D": 2,
"categ 3A": 7,
"categ 3B": 6,
"categ 4A": 3,
"categ 4B": 2,
}
graph = MultidirectionalGraph(
data,
tipo_avaliacao = "Lingua Inglesa",
figsize=(5.5,15),
main_plot_color="#902020",
category_fontsize=12,
group_title_fontsize=10,
)
graph.add_values(added_data, label="Autoavaliação")
fig = graph.plot()
fig.savefig("images/teste.png", dpi=100, bbox_inches='tight')
Metadata
Release files for multidirectional-graph 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| multidirectional_graph-0.1.7.tar.gz | 2.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| multidirectional_graph-0.1.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 MB
Release files / multidirectional_graph-0.1.7.tar.gz
| Download URL | multidirectional_graph-0.1.7.tar.gz |
|---|---|
| Size | 2.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
4dd413ea6cea3d12b1e3231f27d0f548071ceead105dc5e74847b9ecd36f1cd5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
|
Release files / multidirectional_graph-0.1.7-py3-none-any.whl
| Download URL | multidirectional_graph-0.1.7-py3-none-any.whl |
|---|---|
| Size | 2.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d8c137ac4fae5efd5e4c44fc02afcd5219e00f804eaad5729bfd831ce347bc02
|
|
BLAKE2b-256 checksum How to use checksums |
6c442c856cad1c3810e3abbbc9a8314d3202027e2722b28811aade0cc4378e81
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
|