Metadata-Version: 2.1
Name: quick-sci-plot
Version: 0.0.1
Summary: Quickly plot neat charts and figures for scientific publications
Home-page: http://github.com/dhchenx/quick-sci-plot
Author: Donghua Chen
Author-email: douglaschan@126.com
License: MIT
Project-URL: Bug Reports, https://github.com/dhchenx/quick-sci-plot/issues
Project-URL: Source, https://github.com/dhchenx/quick-sci-plot
Keywords: quick scientific plot
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: test
License-File: LICENSE

## Quick Scientific Plot
The toolkit aims to plot neat charts and figures given datasets for scientific publications.

### Examples

Example 1: Word frequency stat
```python
from quick_sci_plot import *
import pickle
# load a dictionary (term, count)
dict_tags_count=pickle.load(open("datasets/dict_tags_count.pickle","rb"))
plot_bar(dict_tags_count)
```

Example 2: Performance change
```python
from quick_sci_plot import *
metrics = ['UMass', 'C_V', 'NPMI', 'UCI']
sub_fig = ['(a)', '(b)', '(c)', '(d)']
csv_path="datasets/topic model performance.csv"
plot_reg(csv_path,sub_fig=sub_fig,metrics=metrics,x_label='Number of topics')
```


### License

The `quick-sci-plot` toolkit is provided by [Donghua Chen](https://github.com/dhchenx) with MIT License.



