refactor to sphinx& and plotly

.github/workflows/deploy.yml

@@ -0,0 +1,37 @@
+name: Deploy
+
+on:
+  push:
+    tags:        
+      - '*' 
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.11"]
+
+    steps:
+      - uses: actions/checkout@v3
+      - name: Set up Python envs
+        uses: actions/setup-python@v3
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install -r requirements-web.txt
+      - name: Build website
+        run: sphinx-build -b html ./ ./_build/html
+      - name: Install SSH Key
+        uses: shimataro/ssh-key-action@v2
+        with:
+          key: ${{ secrets.SSH_PRIVATE_KEY }} 
+          known_hosts: unnecessary
+      - name: Adding Known Hosts
+        run: ssh-keyscan -p ${{ secrets.REMOTE_PORT }} -H ${{ secrets.REMOTE_HOST }} >> ~/.ssh/known_hosts
+
+      - name: Deploy with rsync
+        run: rsync -avz _build/html/* ${{ secrets.REMOTE_USER }}@${{ secrets.REMOTE_HOST }}:/var/www/python-data-science/

.gitignore

@@ -13,6 +13,4 @@ _build/*
 test*.md
 run.sh
 .idea
-env
-
-.github/workflows/deploy.yml
+env

_toc.yml

@@ -1,37 +1,30 @@
-# Table of contents
-# Learn more at https://jupyterbook.org/customize/toc.html
-
-format: jb-book
 root: index
-parts:
-  - caption: 数据处理与计算
-    numbered: true
-    chapters:
-    - file: ch-numpy/index
-      sections:
-        - file: ch-numpy/numpy-intro
-        - file: ch-numpy/ndarray
-        - file: ch-numpy/ndarray-slicing-index
-        - file: ch-numpy/random
-
-    - file: ch-pandas/index
-      sections:
-        - file: ch-pandas/pandas-intro
-        - file: ch-pandas/series-dataframe
-        - file: ch-pandas/dataframe-slicing
-        - file: ch-pandas/data-preprocessing
-        - file: ch-pandas/dataframe-groupby
-        - file: ch-pandas/dataframe-merge-concat
-        - file: ch-pandas/dataframe-pivot-melt
-
-  - caption: 数据可视化
-    numbered: true
-    chapters:
-    - file: ch-matplotlib/index
-      sections:
-        - file: ch-matplotlib/matplotlib-intro
-        - file: ch-matplotlib/matplotlib-figure-axes
-        - file: ch-matplotlib/matplotlib-data
-        - file: ch-matplotlib/matplotlib-other-parameters
-        - file: ch-matplotlib/matplotlib-coding-styles
-        - file: ch-matplotlib/matplotlib-plot-types
+subtrees:
+- numbered: 2
+  entries:
+  - file: ch-numpy/index
+    entries:
+    - file: ch-numpy/numpy-intro
+    - file: ch-numpy/ndarray
+    - file: ch-numpy/ndarray-slicing-index
+    - file: ch-numpy/random
+  - file: ch-pandas/index
+    entries:
+    - file: ch-pandas/pandas-intro
+    - file: ch-pandas/series-dataframe
+    - file: ch-pandas/dataframe-slicing
+    - file: ch-pandas/data-preprocessing
+    - file: ch-pandas/dataframe-groupby
+    - file: ch-pandas/dataframe-merge-concat
+    - file: ch-pandas/dataframe-pivot-melt
+  - file: ch-matplotlib/index
+    entries:
+    - file: ch-matplotlib/intro
+    - file: ch-matplotlib/figure-axes
+    - file: ch-matplotlib/data
+    - file: ch-matplotlib/other-parameters
+    - file: ch-matplotlib/coding-styles
+    - file: ch-matplotlib/plot-types
+  - file: ch-plotly/index
+    entries:
+    - file: ch-plotly/intro

build.sh

@@ -2,10 +2,4 @@
 
 set -e
 
-jupyter-book build ./
-
-rm -rf docs
-mkdir docs
-touch docs/.nojekyll
-cp -r datasets ./docs/
-rsync -a _build/html/* ./docs/
+sphinx-build -b html ./ ./_build/html

ch-matplotlib/matplotlib-figure-axes.ipynb → ch-matplotlib/figure-axes.ipynb

@@ -4,6 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "(matplotlib-figure-axes)=\n",
     "# `Figure` 和 `Axes`"
    ]
   },

ch-plotly/index.md

@@ -0,0 +1,6 @@
+# Plotly
+
+本节主要讲解如何使用 Plotly 进行数据可视化。
+
+```{tableofcontents}
+```