当 csv 文件有多个表时，如何从 csv 文件创建热图？

Question

我正在尝试将 IR 传感器的读数转换为 python 中的热图。我已使用 Arduino 将读数转换为 csv 文件。 csv 文件包含多个值“表”，分为 24 行和 32 列

有没有一种方法可以为 csv 文件中的每个读数创建单独的热图？文件中共有 15 个读数。

我最初的方法是将读数转换为 24x32 数组并以这种方式绘制热图，但由于某种原因文件中的值是 dtype

import numpy as np
import csv

with open("serial_data.csv", "r") as file:
    reader = list(csv.reader(file, delimiter=','))
    reading1 = reader[2:26]
    reading1_array = np.array(reading1)
    map(lambda x: float(x),reading1_array)
    print(reading1_array)

reading1_array.dtype
new_arr = reading1_array.astype(float)
print(new_arr)

然后我收到一条错误消息

ValueError: could not convert string to float: '24.0, 24.0, 24.6, 24.1, 23.1, 22.6, 22.5, 22.6, 22.7, 22.5, 22.7, 22.7, 22.9, 22.8, 23.2, 22.8, 23.2, 23.0, 23.1, 23.0, 23.1, 22.9, 23.4, 25.1, 24.3, 27.8, 26.0, 28.0, 26.4, 26.2, 25.5, 25.3,'

Answer 1

text = '''Ambient temperature = 
""
"24.0, 24.0, 24.6, 24.1, 23.1, 22.6, 22.5, 22.6, 22.7, 22.5, 22.7, 22.7, 22.9, 22.8, 23.2, 22.8, 23.2, 23.0, 23.1, 23.0, 23.1, 22.9, 23.4, 25.1, 24.3, 27.8, 26.0, 28.0, 26.4, 26.2, 25.5, 25.3,"
"24.0, 24.0, 24.6, 24.1, 23.1, 22.6, 22.5, 22.6, 22.7, 22.5, 22.7, 22.7, 22.9, 22.8, 23.2, 22.8, 23.2, 23.0, 23.1, 23.0, 23.1, 22.9, 23.4, 25.1, 24.3, 27.8, 26.0, 28.0, 26.4, 26.2, 25.5, 25.3,"
'''

import csv
import io
import numpy as np

#with open("serial_data.csv", "r") as file:
with io.StringIO(text) as file:
    reader = list(csv.reader(file, delimiter=','))
    #print(reader)

    data = reader[2:26]
    
    data = [line[0].strip(' ,').split(', ') for line in data]  # split string to list of strings
    data = [list(map(float, row)) for row in data]  # convert every row to float values

print('rows:')
for row in data:
    print(row)

array = np.array(data)

print('array:')
print(array)

结果：

rows:
[24.0, 24.0, 24.6, 24.1, 23.1, 22.6, 22.5, 22.6, 22.7, 22.5, 22.7, 22.7, 22.9, 22.8, 23.2, 22.8, 23.2, 23.0, 23.1, 23.0, 23.1, 22.9, 23.4, 25.1, 24.3, 27.8, 26.0, 28.0, 26.4, 26.2, 25.5, 25.3]
[24.0, 24.0, 24.6, 24.1, 23.1, 22.6, 22.5, 22.6, 22.7, 22.5, 22.7, 22.7, 22.9, 22.8, 23.2, 22.8, 23.2, 23.0, 23.1, 23.0, 23.1, 22.9, 23.4, 25.1, 24.3, 27.8, 26.0, 28.0, 26.4, 26.2, 25.5, 25.3]

array:
[[24.  24.  24.6 24.1 23.1 22.6 22.5 22.6 22.7 22.5 22.7 22.7 22.9 22.8
  23.2 22.8 23.2 23.  23.1 23.  23.1 22.9 23.4 25.1 24.3 27.8 26.  28.
  26.4 26.2 25.5 25.3]
 [24.  24.  24.6 24.1 23.1 22.6 22.5 22.6 22.7 22.5 22.7 22.7 22.9 22.8
  23.2 22.8 23.2 23.  23.1 23.  23.1 22.9 23.4 25.1 24.3 27.8 26.  28.
  26.4 26.2 25.5 25.3]]