pandrs 0.3.0

A high-performance DataFrame library for Rust, providing pandas-like API with advanced features including SIMD optimization, parallel processing, and distributed computing capabilities
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55

use std::fmt::Debug;

use crate::core::error::{Error, Result};
use crate::na::NA;
use crate::series::base::Series;

/// GPU acceleration extensions for Series
pub trait SeriesGpuExt<T: Debug + Clone> {
    /// Apply GPU acceleration to a series
    fn gpu_accelerate(&self) -> Result<Self>
    where
        Self: Sized;

    /// GPU-accelerated sum
    fn gpu_sum(&self) -> Result<T>;

    /// GPU-accelerated mean
    fn gpu_mean(&self) -> Result<T>;

    /// GPU-accelerated standard deviation
    fn gpu_std(&self) -> Result<T>;

    /// GPU-accelerated correlation
    fn gpu_corr(&self, other: &Self) -> Result<f64>
    where
        Self: Sized;
}

// Implement for f64 series
impl SeriesGpuExt<f64> for Series<f64> {
    fn gpu_accelerate(&self) -> Result<Self> {
        // Forward to legacy implementation (placeholder for now)
        Ok(self.clone())
    }

    fn gpu_sum(&self) -> Result<f64> {
        // Forward to legacy implementation (placeholder for now)
        Ok(0.0)
    }

    fn gpu_mean(&self) -> Result<f64> {
        // Forward to legacy implementation (placeholder for now)
        Ok(0.0)
    }

    fn gpu_std(&self) -> Result<f64> {
        // Forward to legacy implementation (placeholder for now)
        Ok(0.0)
    }

    fn gpu_corr(&self, other: &Self) -> Result<f64> {
        // Forward to legacy implementation (placeholder for now)
        Ok(0.0)
    }
}