datagrid
Create a datagrid of mixed-media items, and log to comet.com.
Installation
pip install datagrid
Example
The following demo program will log 100 random images, scores, and categories:
from comet_ml import start
from datagrid import DataGrid, Image
import random
from PIL import Image as PImage
import requests
experiment = start(project_name="datagrids")
categories = ["sunset", "landscape", "water", "tree", "city"]
dg = DataGrid(
columns=["Image", "Score", "Category"],
name="Demo"
)
url = "https://picsum.photos/200/300"
for i in range(100):
im = PImage.open(requests.get(url, stream=True).raw)
category = random.choice(categories)
score = random.random()
image = Image(im, metadata={"category": category, "score": score})
dg.append([image, score, category])
dg.log(experiment)
experiment.end()
Visualization
Log into comet.com to see results.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
datagrid-1.0.9.tar.gz
(93.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
datagrid-1.0.9-py3-none-any.whl
(104.8 kB
view details)
File details
Details for the file datagrid-1.0.9.tar.gz.
File metadata
- Download URL: datagrid-1.0.9.tar.gz
- Upload date:
- Size: 93.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
77c173bcd4b55cca275c267557ff34b04cb022aef3e29add834b88d886a903e0
|
|
| MD5 |
b16950229a538144e761a97e556d1e08
|
|
| BLAKE2b-256 |
5138b4d56a1fa1fbd66d29c964612708c9d0d2ad01a3240146986370bce7dac8
|
File details
Details for the file datagrid-1.0.9-py3-none-any.whl.
File metadata
- Download URL: datagrid-1.0.9-py3-none-any.whl
- Upload date:
- Size: 104.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d4ab37e3ffb248b88bbe16927a867a3846b3ebb62067db6df5278d6a55745a79
|
|
| MD5 |
499bed5b9eca99f586c9184d2e68b6e9
|
|
| BLAKE2b-256 |
cb19f36a86f6147d510d6419d7b32e2025f4a4b8eb3b42f51bcb18eb2272b1bc
|
