Matplotlib

_toc.yml

@@ -36,6 +36,7 @@ parts:
       - file: core/matplotlib
         sections:
           - file: core/matplotlib/matplotlib
+          - file: core/matplotlib/additional-topics2
       - file: core/cartopy
         sections:
           - file: core/cartopy/cartopy

core/pandas/pandas.ipynb

@@ -5,7 +5,7 @@
    "id": "a132f14e-55b7-4894-8a09-5f08be34e4c7",
    "metadata": {},
    "source": [
-    "<center><img src=\"https://github.com/pandas-dev/pandas/raw/master/web/pandas/static/img/pandas.svg\" alt=\"pandas Logo\" style=\"width: 800px;\"/></center>\n",
+    "<center><img src=\"https://github.com/pandas-dev/pandas/raw/main/web/pandas/static/img/pandas.svg\" alt=\"pandas Logo\" style=\"width: 800px;\"/></center>\n",
     "\n",
     "# Introduction to Pandas\n",
     "---"
@@ -74,7 +74,7 @@
     "## The pandas [`DataFrame`](https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe)...\n",
     "... is a **labeled**, two dimensional columnal structure similar to a table, spreadsheet, or the R `data.frame`.\n",
     "\n",
-    "![dataframe schematic](https://github.com/pandas-dev/pandas/raw/master/doc/source/_static/schemas/01_table_dataframe.svg \"Schematic of a pandas DataFrame\")\n",
+    "![dataframe schematic](https://github.com/pandas-dev/pandas/raw/main/doc/source/_static/schemas/01_table_dataframe.svg \"Schematic of a pandas DataFrame\")\n",
     "\n",
     "The `columns` that make up our `DataFrame` can be lists, dictionaries, NumPy arrays, pandas `Series`, or more. Within these `columns` our data can be any texts, numbers, dates and times, or many other data types you may have encountered in Python and NumPy. Shown here on the left in dark gray, our very first `column`  is uniquely referrred to as an `Index`, and this contains information characterizing each row of our `DataFrame`. Similar to any other `column`, the `index` can label our rows by text, numbers, `datetime`s (a popular one!), or more.\n",
     "\n",
@@ -231,7 +231,7 @@
     "\n",
     "... is essentially any one of the columns of our `DataFrame`, with its accompanying `Index` to provide a label for each value in our column.\n",
     "\n",
-    "![pandas Series](https://github.com/pandas-dev/pandas/raw/master/doc/source/_static/schemas/01_table_series.svg \"Schematic of a pandas Series\")\n",
+    "![pandas Series](https://github.com/pandas-dev/pandas/raw/main/doc/source/_static/schemas/01_table_series.svg \"Schematic of a pandas Series\")\n",
     "\n",
     "The pandas `Series` is a fast and capable 1-dimensional array of nearly any data type we could want, and it can behave very similarly to a NumPy `ndarray` or a Python `dict`. You can take a look at any of the `Series` that make up your `DataFrame` with its label and the Python `dict` notation, or with dot-shorthand:"
    ]