jk.zhou's datawork
Project description
Sat Jun 24 18:37:16 CST 2023
move_obsidian_md_or_canvas_linked_images() 移动obsidian中.md文档、.canvas文档及文档中链接的图片,实现附件管理、库空间管理、笔记归档 (v 0.1.10)
def move_obsidian_md_or_canvas_linked_images(images_path,folder_path,target_folder):
"""
移动obsidian中.md文档、.canvas文档及文档中链接的图片,实现附件管理、库空间管理、笔记归档。
需要指定三个路径:
images_path:图片附件所在的文件夹。通常是笔记库的附件文件夹
folder_path:待移动、待整理的md、canvas文档所在文件夹。通常临时建立一个文件夹,将要移动的文件存放进去
target_folder:提前准备的文件夹,可以建立在folder_path中,用于存放那个提取出来的图片
执行结束后,可以将文档和对应的图片一起进行归档,实现笔记管理的目的。
"""
Sun Jun 18 23:34:45 CST 2023
hello_jkzhou() Always grow together(v 0.1.7)
def hello_jkzhou():
"""If you need help or have a better idea, send me an e-mail."""
print("My e-mail is: zhouqiling.bjfu@foxmail.com")
Sun Jun 18 22:37:01 CST 2023
rename_folder_numeric_serialize() 文件夹从左到右比较,按数值从小到大排序,再从1开始进行序列化重命名(v 0.1.6)
def rename_folder_numeric_serialize(path):
"""
path:文件夹路径。给定一个文件夹路径,获取其中子文件夹的名字,根据子文件夹的名字,从左到右进行比较,按数值从小到大对子文件夹排序,再从1开始对子文件夹进行序列化重命名。
"""
来源:原创 作者:jk.zhou
Sun Jun 18 17:10:46 CST 2023
get_weibo() 微博图片获取(v 0.1.2)
def get_weibo(path,id,weibo_name):
"""
path: 内容存放路径;
id: 微博id;
weibo_name: 内容存放路径下文件夹的名字。
"""
示例:获取梅西的微博id,获取其微博内容
import pydatawork as dw
path="/home/Desktop/pydatawork"
id="5934019851" # 梅西的微博id。在网页版上能获得链接,链接中u后面的内容即为id ,梅西微博的id为 5934019851 https://weibo.com/u/5934019851
weibo_name="mx"
dw.get_weibo(path,id,weibo_name)
来源:非原创 原作者:XYJISAW 参考链接:https://www.omegaxyz.com/2018/02/13/python_weibo/
pypi维护指令
cd 到pydatawork文件夹
python3 setup.py sdist bdist_wheel # 打包
twine check dist/* # 检查
twine upload dist/* # 上传,需要输入帐号密码
Sat Jun 17 18:23:38 CST 2023
查看pydatawork是否有更新
pip3 list --outdated
pydatawork升级方法(先卸载,再安装)
pip3 uninstall pydatawork # 卸载
pip3 install pydatawork # 安装
Sat Jun 17 17:32:47 CST 2023
pydatawork 导入方式
import pydatawork # 标准导入方式
import pydatawork as dw # 推荐使用此方式,更简洁
Thu Jun 15 13:23:43 CST 2023
pydatawork安装
安装:
pip3 install pydatawork
关于
数据工作相关的分享。
推荐始终使用最新版。
要升级使用最新的安装包,比较稳定可靠的一种方式是,先卸载旧的,再重装。
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