【矩阵变换】

前提

数据源是六轴IMU的采集数据

image-20210918174522504.png

Step 1 open() 打开文件存成二维数组

from pandas import read_csv

def readCSV(path=None):
    dataframe = read_csv(r"F:\skateboard_2\subject01\algo_material\arranged_files_step2\IMU_shank\01_102412.csv", header=0, delim_whitespace=None)
    dataframe = np.array(dataframe[:100])  # 读取前一百行
    print(dataframe.shape)
    return dataframe

if __name__ == '__main__':
    aa = readCSV()
    
"""
(100, 6)
"""

Step 2 把多个二维数组进行拼接

场景：==单个IMU==的情况下，把单个 (100,6) 的矩阵看作是一个样本，而我们有很多个样本，以下举例为3个样本，拼接在一起成 (3,100,6) 的大矩阵，要怎么做？

答：利用 np.concatenate() 函数

参考博客：https://blog.csdn.net/guofei_fly/article/details/85485173

from pandas import read_csv
from numpy import concatenate
import numpy as np

# step1
def readCSV(path=None):
    dataframe = read_csv(r"F:\skateboard_2\subject01\algo_material\arranged_files_step2\IMU_shank\01_102412.csv", header=0, delim_whitespace=None)
    dataframe = np.array(dataframe[:100])  # 读取前一百行
    print(dataframe.shape)
    return dataframe

# step2
def combineMat(tupleList):
    res = concatenate(tupleList, axis=0)
    print(cc.shape)
    return res

if __name__ == '__main__':
    aa = readCSV()
    bb = readCSV()
    cc = readCSV()
    dd = combineMat(([aa], [bb], [cc]))
    
"""
(100, 6)
(100, 6)
(100, 6)
(3,100, 6)
"""

Step 3 4个IMU的情况，拼接成 (10,4,100,6)

错误操作：aa = [aa for i in range(10)]，并不能把得到 (10, 1, 100, 6) 矩阵格式

from pandas import read_csv
from numpy import concatenate
import numpy as np


# step1
def readCSV(path=None):
    dataframe = read_csv(r"F:\skateboard_2\subject01\algo_material\arranged_files_step2\IMU_shank\01_102412.csv",
                         header=0, delim_whitespace=None)
    dataframe = np.array(dataframe[:100])  # 读取前一百行
    print(dataframe.shape)
    return dataframe


# step2
def combineMat(tupleList):
    res = concatenate(tupleList, axis=0)
    print(cc.shape)
    return res


if __name__ == '__main__':
    aa = readCSV()
    bb = readCSV()
    cc = readCSV()

    aa = [aa for i in range(10)]
    print(np.array(aa).shape)
    

"""
(10,100, 6)
"""

正确操作：aa = [[aa] for i in range(10)]

from pandas import read_csv
from numpy import concatenate
import numpy as np


# step1
def readCSV(path=None):

    dataframe = read_csv(path,
                         header=0, delim_whitespace=None)
    dataframe = np.array(dataframe[:100])  # 读取前一百行
    print(dataframe.shape)
    return dataframe


# step2
def combineMat(tupleList):
    res = concatenate(tupleList, axis=0)
    print(cc.shape)
    return res


if __name__ == '__main__':
    aa = readCSV(r"F:\ProjectAurora\实验材料与数据存放\实验材料\Transformer资料\HARDataset\train\Inertial Signals\body_acc_y_train.txt")
    bb = readCSV(r"F:\ProjectAurora\实验材料与数据存放\实验材料\Transformer资料\HARDataset\train\Inertial Signals\body_acc_y_train.txt")
    cc = readCSV(r"F:\ProjectAurora\实验材料与数据存放\实验材料\Transformer资料\HARDataset\train\Inertial Signals\body_acc_y_train.txt")

    aaa = [[aa] for i in range(10)]
    bbb = [[bb] for i in range(10)]
    ccc = [[cc] for i in range(10)]
    ddd = concatenate((aaa, bbb, ccc), axis=1)  # axis是从左到右开始算，0 1 2 3 对应 (10,1,100,1)
    print(ddd.shape)
    # dd = combineMat(([aa], [bb], [cc]))

"""
(10,3,100, 1)
"""