read data from a feather file directly into a pyside6 vector in python

To read data from a Feather file directly into a PySide6 Vector in Python, you can use the pandas and pyarrow libraries. Here is an example of how to achieve this:

main.py
import pandas as pd
import pyarrow as pa
from PySide6.QtCore import QVector3D

# Load the Feather file as a pandas DataFrame
df = pd.read_feather('your_file.feather')

# Convert the DataFrame columns into lists
x_values = df['x'].tolist()
y_values = df['y'].tolist()
z_values = df['z'].tolist()

# Create a PySide6 QVector3D vector from the lists of values
vector = QVector3D(x_values, y_values, z_values)
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In this example, we use the read_feather function from the pandas library to load the Feather file as a DataFrame. Then, we extract the individual columns from the DataFrame and convert them into Python lists. Finally, we use these lists to create a QVector3D vector from the PySide6.QtCore module.

Make sure to replace 'your_file.feather' with the path to your actual Feather file. Also, adjust the column names ('x', 'y', and 'z') to match the column names in your Feather file.

Note that you need to have both pandas and pyarrow libraries installed for this code to work. You can install them using pip:

main.py
pip install pandas pyarrow
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