The purpose of AddLat2D is to create a dataset of 2D lattice cells based on a specified image size and list of density values. The final output is a CSV file with columns containing the arrays of the images, the 'Density’ value, and the respective 'Thickness’ values that define the shape, and a visualization of the data distribution.
| title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned |
|---|---|---|---|---|---|---|---|
AddLat2D |
😻 |
purple |
blue |
streamlit |
1.17.0 |
app.py |
false |
Use the following code to load items in the 2D_Lattice.csv file import pandas as pd import json df = pd.read_csv('2D_Lattice.csv') row = 0 box = df.iloc[row,1] array = np.array(json.loads(box))
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
The purpose of AddLat2D is to create a dataset of 2D lattice cells based on a specified image size and list of density values. The final output is a CSV file with columns containing the arrays of the images, the 'Density’ value, and the respective 'Thickness’ values that define the shape, and a visualization of the data distribution.
MIT License