DataBpy 2¶

https://github.com/BradyAJohnston/databpy

In [109]:

import bpy
print("Blender version:", bpy.app.version_string)   # current blender version
import importlib.metadata
print("Databpy version:", importlib.metadata.version("databpy"))

import bpy print("Blender version:", bpy.app.version_string) # current blender version import importlib.metadata print("Databpy version:", importlib.metadata.version("databpy"))

Blender version: 4.4.3
Databpy version: 0.0.18

In [110]:

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[110]:

'Mesh1'

In [111]:

obj.position

obj.position

Out[111]:

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

In [112]:

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[112]:

'Mesh2'

In [113]:

obj.position[:3] # first three

obj.position[:3] # first three

Out[113]:

array([[0.85635167, 0.50563103, 0.94801462],
       [0.98673707, 0.94620389, 0.14079188],
       [0.40638462, 0.20826402, 0.07702765]])

In [114]:

%%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 711 ms, sys: 44.5 ms, total: 755 ms
Wall time: 760 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 [115]:

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 [116]:

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 [117]:

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 [118]:

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 [119]:

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 [120]:

# 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 [123]:

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_normalized.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_normalized.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_normalized

In [ ]: