Databpy¶

https://github.com/BradyAJohnston/databpy

In [2]:

import numpy as np
import databpy as db

vertex = np.array([[0, 0, 0]])  
obj = db.create_bob(vertex, name="Mesh1")
obj.name

import numpy as np import databpy as db vertex = np.array([[0, 0, 0]]) obj = db.create_bob(vertex, name="Mesh1") obj.name

Out[2]:

'Mesh1'

In [3]:

obj.position

obj.position

Out[3]:

array([[0., 0., 0.]])

In [4]:

import numpy as np
import databpy as db

coords = np.random.rand(20, 3)  
obj = db.create_bob(coords, name="Mesh2")
obj.name

import numpy as np import databpy as db coords = np.random.rand(20, 3) obj = db.create_bob(coords, name="Mesh2") obj.name

Out[4]:

'Mesh2'

In [5]:

obj.position[:3] # first three

obj.position[:3] # first three

Out[5]:

array([[0.1291904 , 0.00317181, 0.5135445 ],
       [0.94508129, 0.86277646, 0.97644675],
       [0.00203336, 0.87146598, 0.40898171]])

In [6]:

%%time
import numpy as np
import databpy as db

# Generate 2 million random 3D points
coords = np.random.rand(2_000_000, 3)

# Create a mesh object using databpy
obj = db.create_bob(coords, name="Mesh2M")
print(obj.name)

%%time import numpy as np import databpy as db # Generate 2 million random 3D points coords = np.random.rand(2_000_000, 3) # Create a mesh object using databpy obj = db.create_bob(coords, name="Mesh2M") print(obj.name)

Mesh2M
CPU times: user 701 ms, sys: 40 ms, total: 741 ms
Wall time: 736 ms

Setting Attributes¶

To run the code below, first install the Blender extension from the following link: https://extensions.blender.org/add-ons/csv-importer/

In [7]:

import numpy as np
import polars as pl
from csv_importer.parsers import polars_df_to_bob

df = pl.DataFrame(
    {
        "Intensity": [10, 20],
    }
)
bob = polars_df_to_bob(df, name="MeshInt")

import numpy as np import polars as pl from csv_importer.parsers import polars_df_to_bob df = pl.DataFrame( { "Intensity": [10, 20], } ) bob = polars_df_to_bob(df, name="MeshInt")

In [8]:

import numpy as np
import polars as pl
from csv_importer.parsers import polars_df_to_bob

df = pl.DataFrame(
    {
        "opacity": [0.34, 0.92],
    }
)
bob = polars_df_to_bob(df, name="MeshFloat")

import numpy as np import polars as pl from csv_importer.parsers import polars_df_to_bob df = pl.DataFrame( { "opacity": [0.34, 0.92], } ) bob = polars_df_to_bob(df, name="MeshFloat")

In [9]:

import numpy as np
import polars as pl
from csv_importer.parsers import polars_df_to_bob

df = pl.DataFrame(
    {
        "Is_Visible": [True, False],
    }
)
bob = polars_df_to_bob(df, name="MeshBool")

import numpy as np import polars as pl from csv_importer.parsers import polars_df_to_bob df = pl.DataFrame( { "Is_Visible": [True, False], } ) bob = polars_df_to_bob(df, name="MeshBool")

In [10]:

import numpy as np
import polars as pl
from csv_importer.parsers import polars_df_to_bob

df = pl.DataFrame({
    "Star": [
        [3.4, 3.5, 0.0],
        [3.1, 5.6, 0.0]
    ]
})
obj = polars_df_to_bob(df, name="MeshVector")

import numpy as np import polars as pl from csv_importer.parsers import polars_df_to_bob df = pl.DataFrame({ "Star": [ [3.4, 3.5, 0.0], [3.1, 5.6, 0.0] ] }) obj = polars_df_to_bob(df, name="MeshVector")

In [11]:

import numpy as np
import polars as pl
from csv_importer.parsers import polars_df_to_bob

df = pl.DataFrame({
    "String": ["Hello", "World"],
})
# Stings are not supported
obj = polars_df_to_bob(df, name="MeshVector")

import numpy as np import polars as pl from csv_importer.parsers import polars_df_to_bob df = pl.DataFrame({ "String": ["Hello", "World"], }) # Stings are not supported obj = polars_df_to_bob(df, name="MeshVector")

In [12]:

# all together
import numpy as np
import polars as pl
from csv_importer.parsers import polars_df_to_bob

df = pl.DataFrame({
    "Intensity": [10, 20],
    "opacity": [0.34, 0.92],
    "Is_Visible": [True, False],
    "Star": [
        [3.4, 3.5, 0.0],
        [3.1, 5.6, 0.0]
    ]
})
obj = polars_df_to_bob(df, name="MeshVector")

# all together import numpy as np import polars as pl from csv_importer.parsers import polars_df_to_bob df = pl.DataFrame({ "Intensity": [10, 20], "opacity": [0.34, 0.92], "Is_Visible": [True, False], "Star": [ [3.4, 3.5, 0.0], [3.1, 5.6, 0.0] ] }) obj = polars_df_to_bob(df, name="MeshVector")

In [13]:

from pathlib import Path
from csv_importer.csv import load_csv

csv_path = Path.home() / "projects" / "blender_csv_import" / "docs" / "sample_datasets" / "data_california_housing.csv"

# `load_csv` is like `like polars_df_to_bob`, but with a csv path input
obj = load_csv(csv_path) 
 
print(obj.name)

from pathlib import Path from csv_importer.csv import load_csv csv_path = Path.home() / "projects" / "blender_csv_import" / "docs" / "sample_datasets" / "data_california_housing.csv" # `load_csv` is like `like polars_df_to_bob`, but with a csv path input obj = load_csv(csv_path) print(obj.name)

CSV_data_california_housing

In [ ]: