https://github.com/guofei9987/chrplotlib
plot graphs using chars
https://github.com/guofei9987/chrplotlib
Last synced: 10 months ago
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plot graphs using chars
- Host: GitHub
- URL: https://github.com/guofei9987/chrplotlib
- Owner: guofei9987
- License: mit
- Created: 2021-04-03T13:58:29.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2022-08-09T11:09:56.000Z (over 3 years ago)
- Last Synced: 2024-10-29T16:00:58.565Z (about 1 year ago)
- Language: Python
- Size: 234 KB
- Stars: 10
- Watchers: 3
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# chrplotlib
Plot graphs using chars
install:
```bash
$pip install chrplotlib --upgrade
```
For the current developer version:
```bash
git clone git@github.com:guofei9987/chrplotlib.git
cd chrplotlib
pip install .
```
## example
```python
from chrplotlib import animation
def update_bar(i):
data = 10 * np.random.rand(20)
print(bar(data, label=range(20), max_height=10))
print('\033[{}A'.format(12))
animation(update_func=update_bar, interval=range(100), pause=0.2)
```
```python
data = 10 * np.random.rand(20)
label = range(20)
```
```python
print(bar(data))
```
Print this:
```
▃▃
▃▃ ▃▃ ██ ▅▅
██ ▇▇ ██ ██ ▇▇ ██
██ ██ ██ ██ ██ ██
██ ██ ▇▇ ▃▃ ██ ██ ██ ██
██ ██ ▄▄ ▅▅ ██ ██ ██ ██ ██ ██ ▃▃
██ ██ ██ ██ ▂▂ ██ ██ ██ ██ ▃▃ ██ ██ ██
██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██
██ ██ ██ ██ ██ ██ ██ ██ ▄▄ ██ ██ ██ ██ ▂▂ ██ ▇▇ ██
██ ██ ██ ██ ▃▃ ██ ██ ██ ██ ██ ██ ██ ██ ▃▃ ██ ██ ██ ██ ██ ██
```
```python
print(bar(data=data, label=range(20)))
```
Print this:
```
▃▃
▃▃ ▃▃ ██ ▅▅
██ ▇▇ ██ ██ ▇▇ ██
██ ██ ██ ██ ██ ██
██ ██ ▇▇ ▃▃ ██ ██ ██ ██
██ ██ ▄▄ ▅▅ ██ ██ ██ ██ ██ ██ ▃▃
██ ██ ██ ██ ▂▂ ██ ██ ██ ██ ▃▃ ██ ██ ██
██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██ ██
██ ██ ██ ██ ██ ██ ██ ██ ▄▄ ██ ██ ██ ██ ▂▂ ██ ▇▇ ██
██ ██ ██ ██ ▃▃ ██ ██ ██ ██ ██ ██ ██ ██ ▃▃ ██ ██ ██ ██ ██ ██
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
```
```python
print(bar(data, kind='bar'))
```
Get this:
```
█▌█▌█▌█▌█▌█▌█▌█▌▌
█▌█▌█▌█▌█▌█▌█▌█▌
█▌█▌█▌█▌▋
█▌█▌█▌█▌█
▌
█▌█▌█▌▎
█▌█▌█▌█▌█▌█▌
█▌█▌█▌█▌█▌▌
█▌█▌█▌█▌█▌█▌█▌█▌▍
█▌▋
█▌█▌
█▌█▌█▌█▌█▌█▌█▌█▌█▌▌
█▌█▌█▌▍
▌
█▌█▌█▌█▌█▌█▌█▌█▌
█▌
█▌▎
█▌█▌█▌█▌█▌█▌█▌█▌█▎
█▌█▌
█▌█▌█▌█▌▌
```
```python
print(bar(data=data, label=range(20), kind='barh'))
```
Get this:
```
0 █▌█▌█▌█▌█▌█▌█▌█▌▌
1 █▌█▌█▌█▌█▌█▌█▌█▌
2 █▌█▌█▌█▌▋
3 █▌█▌█▌█▌█
4 ▌
5 █▌█▌█▌▎
6 █▌█▌█▌█▌█▌█▌
7 █▌█▌█▌█▌█▌▌
8 █▌█▌█▌█▌█▌█▌█▌█▌▍
9 █▌▋
10█▌█▌
11█▌█▌█▌█▌█▌█▌█▌█▌█▌▌
12█▌█▌█▌▍
13▌
14█▌█▌█▌█▌█▌█▌█▌█▌
15█▌
16█▌▎
17█▌█▌█▌█▌█▌█▌█▌█▌█▎
18█▌█▌
19█▌█▌█▌█▌▌
```
### plot images by name
```python
from chrplotlib import img
img_plotter = img.ImagePlotter()
for name in img_plotter.get_all_names():
print(f"name:{name}")
print(img_plotter.from_name(name=name))
```
Will print this:
### plot from image file
```python
from chrplotlib import img
import cv2
import os
CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
IMAGE_DIR = os.path.join(CURRENT_DIR, 'data')
img_path = os.path.join(IMAGE_DIR, 'img1.jpeg')
img_data = cv2.imread(img_path)
# print it
print(img.plot_from_img(img_data, max_width=80))
# or save it to .txt file
with open("output.txt", "w") as f:
f.write(img.plot_from_img(img_data, max_width=150))
```
from this image:
print this:
Plot more images:
