diff --git a/README.md b/README.md index 4638a070..a58096e1 100644 --- a/README.md +++ b/README.md @@ -293,9 +293,9 @@ year={2023}, } ``` or -> Wenjie Du. (2023). +> Wenjie Du. > PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series. -> arXiv, abs/2305.18811. https://arxiv.org/abs/2305.18811 +> arXiv, abs/2305.18811, 2023. ## ❖ Contribution diff --git a/README_zh.md b/README_zh.md index f9ab4913..cb6dceb9 100644 --- a/README_zh.md +++ b/README_zh.md @@ -145,7 +145,7 @@ PyPOTS当前支持多变量POTS数据的插补,预测,分类,聚类以及 👈 在PyPOTS中,数据可以被看作是咖啡豆,而写的携带缺失值的POTS数据则是不完整的咖啡豆。 为了让用户能够轻松使用各种开源的时间序列数据集,我们创建了开源时间序列数据集的仓库 Time Series Data Beans (TSDB)(可以将其视为咖啡豆仓库), -TSDB让加载开源时序数据集变得超级简单!访问 [TSDB](https://github.com/WenjieDu/TSDB),了解更多关于TSDB的信息,目前总共支持170个开源数据集! +TSDB让加载开源时序数据集变得超级简单!访问 [TSDB](https://github.com/WenjieDu/TSDB),了解更多关于TSDB的信息,目前总共支持172个开源数据集! PyGrinder logo diff --git a/docs/index.rst b/docs/index.rst index 77049665..a72c0374 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -12,7 +12,7 @@ Welcome to PyPOTS docs! **A Python Toolbox for Machine Learning on Partially-Observed Time Series** -.. image:: https://img.shields.io/badge/Python-v3.7+-E97040?logo=python&logoColor=white +.. image:: https://img.shields.io/badge/Python-v3.8+-E97040?logo=python&logoColor=white :alt: Python version :target: https://docs.pypots.com/en/latest/install.html#reasons-of-version-limitations-on-dependencies @@ -306,9 +306,9 @@ or .. - Wenjie Du. (2023). + Wenjie Du. PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series. - arXiv, abs/2305.18811. https://doi.org/10.48550/arXiv.2305.18811 + arXiv, abs/2305.18811, 2023. ❖ Contribution