Quick Scientific Plot
The toolkit aims to plot neat charts and figures given datasets for scientific publications.
Examples
Example 1: Word frequency stat
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
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 with MIT License.
Metadata
Release files for quick-sci-plot 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| quick-sci-plot-0.0.1.tar.gz | 7.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| quick_sci_plot-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.1 kB
Release files / quick-sci-plot-0.0.1.tar.gz
| Download URL | quick-sci-plot-0.0.1.tar.gz |
|---|---|
| Size | 7.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.8.3 pkginfo/1.7.1 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.6
|
Release files / quick_sci_plot-0.0.1-py3-none-any.whl
| Download URL | quick_sci_plot-0.0.1-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.3 pkginfo/1.7.1 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.6
|