Blot
blot基于plotly和cufflinks，是一个进程安全，比plotly更简约，比cufflinks更快的python动态图可视化库。更贴近日常使用场景，便捷的绘制基带、简单的静态图像转换存储…结合pandas的Series和DataFrame使用（monkey patching），仅需一行代码即可完成各类图表构建。
安装方式
- pip3 install blotly
- 下载源码。进入项目根目录执行 python setup.py install
使用方式
- 具体参照文档：Blot.pdf
版本历史
v1.0.0
- 解决一些bug，支持多进程
- 精简项目，优化参数和注释
- 增加基带绘制和相关控制参数
- 支持便捷的静态图保存
- ……
示例
import pandas as pd
import numpy as np
import blot
pd.DataFrame({
'upper':np.random.randint(30,40,50),
'lower':np.random.randint(10,20,50),
'value1':np.random.randint(15,65,50),
'value2':np.random.randint(0,20,50),
}).blot(upper='upper', lower='lower',color='blue')
1 maintainer
Release files for blotly 1.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| blotly-1.0.8.tar.gz | 81.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| blotly-1.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 153.6 kB
Release files / blotly-1.0.8.tar.gz
| Download URL | blotly-1.0.8.tar.gz |
|---|---|
| Size | 81.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
|
Release files / blotly-1.0.8-py3-none-any.whl
| Download URL | blotly-1.0.8-py3-none-any.whl |
|---|---|
| Size | 71.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a43e8172e1bd793f1e8c76e77f0a633e34e5d88b6476d004cc8070b3b28d157d
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|
BLAKE2b-256 checksum How to use checksums |
a594e3cd4ee45773e7d642d9ab6de00feb874a78a8498055f0ddede572893d31
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
|
