numpytable

每次复制Excel表格的数据到Python中，都要手动添加括号和逗号，非常繁琐。

目的：快速将Excel等工具复制的表格文本转换为NumPy数组，告别手动添加括号和逗号的繁琐操作。

安装

pip install numpytable

用法

在Excel（或其他表格工具）中选中数据并复制（元素间默认用制表符分隔）：
```
2.2681	6.623	2.6459
2.3407	6.574	2.1304
2.8451	6.4258	2.1178
```

在Python中用from_table函数转换：

import numpy as np
from numpytable import from_table

# 直接粘贴复制的文本，用三引号包裹
data = np.array(from_table("""
2.2681	6.623	2.6459
2.3407	6.574	2.1304
2.8451	6.4258	2.1178
"""))

print(data)
# 输出：
# [[2.2681 6.623  2.6459]
#  [2.3407 6.574  2.1304]
#  [2.8451 6.4258 2.1178]]

特性

自动处理换行和制表符，无需手动格式化
支持整数、浮点数自动识别
检测并警告行数不一致的情况
轻量依赖（仅需numpy）

Metadata

Release files for numpytable 0.1.0

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Source distribution for numpytable 0.1.0
File	Size	Uploaded	Provenance	Actions
numpytable-0.1.0.tar.gz	4.3 kB	Nov 17, 2025	Without provenance	Details for numpytable-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for numpytable 0.1.0
File	Interpreter	ABI	Platform	Actions Reset
numpytable-0.1.0-py3-none-any.whl 4.5 kB Nov 17, 2025 Without provenance	Python 3	none	any	Details for numpytable-0.1.0-py3-none-any.whl

Total release size: 8.8 kB

Release files / numpytable-0.1.0.tar.gz

Download URL	numpytable-0.1.0.tar.gz
Size	4.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`ac915ea4d3a41757ab8d0dcbcc2944bef5460539d4272f0b173a924780cde567`
BLAKE2b-256 checksum How to use checksums	`25e10a76f62ea1ddd48f6788d4375e7e17903d4f37dcaa992da0107c382b49d5`
Upload date	Nov 17, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.8.2`

Release files / numpytable-0.1.0-py3-none-any.whl

Download URL	numpytable-0.1.0-py3-none-any.whl
Size	4.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`760cf6175066d459d4c86b3aa2f65ecb28c26ce3443bd4e3359eb0660882c9c8`
BLAKE2b-256 checksum How to use checksums	`02eb99d9bff7ea7a46a72c8c996273a1f290736c3b6e8064f0b4841a70d26c7b`
Upload date	Nov 17, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.8.2`

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0.1.0 This release

Nov 17, 2025 2 release files No provenance

numpytable 0.1.0