Update the starter tutorial introduction

.gitignore

@@ -28,6 +28,7 @@ doc/_build/
 doc/gallery/
 doc/projections/
 doc/tutorials/
+doc/get-started/
 
 # Jupyter Notebook
 .ipynb_checkpoints/

doc/Makefile

@@ -57,4 +57,5 @@ clean:
 	rm -rf api/generated
 	rm -rf gallery
 	rm -rf tutorials
+	rm -rf get-started
 	rm -rf projections

doc/conf.py

@@ -66,10 +66,11 @@
     "examples_dirs": [
         "../examples/gallery",
         "../examples/tutorials",
+        "../examples/get-started",
         "../examples/projections",
     ],
     # path where to save gallery generated examples
-    "gallery_dirs": ["gallery", "tutorials", "projections"],
+    "gallery_dirs": ["gallery", "tutorials", "get-started", "projections"],
     "subsection_order": ExplicitOrder(
         [
             "../examples/gallery/maps",
@@ -89,6 +90,7 @@
             "../examples/projections/table",
             "../examples/tutorials/basics",
             "../examples/tutorials/advanced",
+            "../examples/get-started",
         ]
     ),
     # Patter to search for example files

doc/index.rst

@@ -20,7 +20,7 @@
 
     overview.rst
     install.rst
-    tutorials/basics/first_figure.rst
+    get-started/index.rst
 
 .. toctree::
     :maxdepth: 2

examples/get-started/README.txt

@@ -0,0 +1,16 @@
+Intro to PyGMT
+==============
+
+Welcome to PyGMT! This tutorial is designed to teach the basic concepts to
+make a map in PyGMT.
+
+**About this tutorial**
+
+This tutorial assumes that PyGMT has been successfully installed. A quick
+way to test this is to type ``import pygmt`` in a Python IDE or Jupyter
+Notebook.
+
+This tutorial will progressively cover PyGMT plotting concepts, and later
+examples will use concepts explained in previous examples. It will not
+cover all PyGMT modules.
+

examples/get-started/first_figure.py

@@ -0,0 +1,159 @@
+"""
+1. Making your first figure
+===========================
+
+This tutorial page covers the basics of creating a figure. It will only use
+the ``coast`` module for plotting. Later examples will address other PyGMT
+modules.
+"""
+
+###############################################################################
+# Setting up the development environment
+# --------------------------------------
+#
+# PyGMT can be used in both a Python script and a notebook environment, such
+# as Jupyter. The tutorial's recommended method is to use a notebook, and the
+# code will be for a notebook environment. If you use a Python script instead,
+# there will be a difference in how the figure is shown that is explained in
+# the first example.
+
+
+###############################################################################
+# Loading the library
+# -------------------
+#
+# The first step is to import ``pygmt``. All modules and figure generation is
+# accessible from the :mod:`pygmt` top level package.
+
+# sphinx_gallery_thumbnail_number = 4
+import pygmt
+
+###############################################################################
+# Creating a figure
+# -----------------
+#
+# All figure generation in PyGMT is handled by the :class:`pygmt.Figure` class.
+# Start a new figure by creating an instance of this class:
+
+fig = pygmt.Figure()
+
+###############################################################################
+# To add to a plot object (``fig`` in this example), the PyGMT module is used
+# as a method on the class. This example will use the module ``coast``, which
+# can be used to create a map without any other modules or external data. The
+# ``coast`` module plots the coastlines, borders, and bodies of water using a
+# database that is included in GMT.
+#
+# First, a region for the figure must be selected. This example will plot some
+# of the coast of Maine in the northeastern US. A Python list can be passed to
+# the ``region`` argument with the minimum and maximum X-values (longitude)
+# and the minimum and maximum Y-values (latitude). For this example, the
+# minimum (bottom left) coordinates are N43.75 W69 and the maximum (top right)
+# coordinates are N44.75 W68. Negative values can be passed for latitudes in
+# the southern hemisphere or longitudes in the western hemisphere.
+#
+# In addition to the region, an argument needs to be passed to ``coast`` to
+# tell it what to plot. In this example, ``coast`` will be told to plot the
+# shorelines by passing the Boolean value ``True`` to the ``shorelines``
+# parameter. The ``shorelines`` parameter has other options for finer control,
+# but setting it to ``True`` uses its default values.
+
+fig.coast(region=[-69, -68, 43.75, 44.75], shorelines=True)
+
+###############################################################################
+# To see the figure, call :meth:`pygmt.Figure.show`. If you are using a Python
+# script instead of a notebook, use ``fig.show(method="external)`` to display
+# the figure.
+
+fig.show()
+
+###############################################################################
+# Color the land and water
+# ------------------------
+#
+# This figure plots all of the coastlines in the given region, but it does not
+# indicate where the land and water are. Color values can be passed to ``land``
+# and ``water`` to set the colors on the figure.
+#
+# When plotting colors in PyGMT, there are multiple
+# :gmt-docs:`color codes <gmtcolors.html>`, that can be used. This includes
+# standard GMT color names (like ``skyblue``), R/G/B levels (like ``0/0/255``),
+# a hex value (like ``#333333``), and a graylevel (like ``50``). For this
+# example, GMT color names are used.
+
+fig = pygmt.Figure()
+fig.coast(
+    region=[-69, -68, 43.75, 44.75],
+    shorelines=True,
+    land="lightgreen",
+    water="lightblue",
+)
+fig.show()
+
+###############################################################################
+# Set the projection
+# ------------------
+#
+# This figure now has its colors set, but there is not projection or size
+# set for the map. Both of these values are set using the ``projection``
+# parameter.
+#
+# The appropriate projection varies for the type of map. The available
+# projections are explained in the :doc:`projection </projections/index>`
+# gallery. For this example, the Mercator projection is set using ``"M"``.
+# The width of the figure will be 10 centimeters, as set by ``"10c"``. The map
+# size can also be set in inches using "i" (e.g. a 5 inch wide Mercator
+# projection would use ``"M5i"``).
+
+fig = pygmt.Figure()
+fig.coast(
+    region=[-69, -68, 43.75, 44.75],
+    shorelines=True,
+    land="lightgreen",
+    water="lightblue",
+    projection="M10c",
+)
+fig.show()
+
+###############################################################################
+# Add a frame
+# -----------
+#
+# While that the map's colors, projection, and size have been set, the region
+# that is being displayed is not apparent. A frame can be added to
+# annotate the latitude and longitude of the region.
+#
+# The ``frame`` parameter is used to add a frame to the figure. For now, it
+# will be set to ``a`` to use default settings, but later tutorials will
+# show how ``frame`` can be used to customize the axes, gridlines, and titles.
+
+fig = pygmt.Figure()
+fig.coast(
+    region=[-69, -68, 43.75, 44.75],
+    shorelines=True,
+    land="lightgreen",
+    water="lightblue",
+    projection="M10c",
+    frame="a",
+)
+fig.show()
+
+###############################################################################
+# Additional exercises
+# --------------------
+#
+# This is the end of the first tutorial. Here are some additional exercises
+# for the concepts that were discussed:
+#
+# 1. Make a map of Germany using its DCW ISO code ("DE"). Pass the ISO code
+#    as a Python string to the ``"region"`` parameter.
+#
+# 2. Change the color of the land to "khaki" and the water to "azure".
+#
+# 3. Change the color of the lakes (using the ``"lakes"`` parameter) to "red."
+#
+# 4. Create a global map. Set the region to "d" to center the map at the Prime
+#    Meridian or "g" to center the map at the International Date Line. When the
+#    region is set without using a list full of integers or floating numbers,
+#    the argument needs to be passed as a Python string. Create a 15 centimeter
+#    map using the Mollwide ("W") projection.