使用熊猫数据框后无法将字符串转换为浮点型

Question

我有一个代码，我将在其中放置3D图像目录并将所有图像转换为单个行数组并保存在单个csv中。我有45个图片目录：

filenames = glob("C:\\Users\\rzara\\Desktop\\resized\\arrays\\*.csv")
dataframes = [pd.read_csv(f, header = None) for f in filenames]
pd.DataFrame(dataframes).to_csv("C:\\Users\\rzara\\Desktop\\resized\\arrays\\Combined.csv", header = None)

我可以通过无监督学习网络运行这些单独的.csv文件。但是，我想将所有45个.csv文件合并为1个.csv文件，以相互比较3D体积。我有这段代码可以合并所有.csv：

ValueError: could not convert string to float: '  52.0  38.0  31.0 ... 27.0  27.0  27.0\n\n[20 rows x 2500 columns]'

当我尝试运行代码时使用pandas数据框合并文件后，出现错误：

ValueError: could not convert string to float: '...'

我尝试手动编辑.csv并删除所有多余的字符，空格和返回，但随后出现错误：

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