Merge pull request #178 from raphaelquast/dev

EOmaps v7.1

.github/workflows/testMaps.yml

@@ -13,7 +13,7 @@ jobs:
         # set operating systems to test
         os: [ubuntu-latest]
         # set python versions to test
-        python-version: ["3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10"]
 
     name: test_Maps ${{ matrix.os }}  ${{ matrix.python-version }}
     steps:
@@ -32,7 +32,7 @@ jobs:
           miniforge-variant: Mambaforge
           miniforge-version: latest
 
-          activate-environment: testMaps
+          activate-environment: eomaps
 
           show-channel-urls: true
           use-only-tar-bz2: true

docs/EOmaps_examples.rst

@@ -7,11 +7,85 @@
 
 ... a collection of examples that show how to create beautiful interactive maps.
 
+
+.. |eximg01| image:: _static/fig1.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_1`_
+.. |eximg02| image:: _static/fig2.png
+   :width: 100%
+   :align: middle
+   :target: `ex_2`_
+.. |eximg03| image:: _static/fig3.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_3`_
+.. |eximg04| image:: _static/fig4.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_4`_
+.. |eximg05| image:: _static/fig5.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_5`_
+.. |eximg06| image:: _static/fig6.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_6`_
+.. |eximg07| image:: _static/fig7.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_7`_
+.. |eximg08| image:: _static/fig8.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_8`_
+.. |eximg09| image:: _static/fig9.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_9`_
+.. |eximg10| image:: _static/example_row_col_selector.gif
+   :width: 100%
+   :align: middle
+   :target: `ex_10`_
+.. |eximg11| image:: _static/example_inset_maps.png
+   :width: 100%
+   :align: middle
+   :target: `ex_11`_
+.. |eximg12| image:: _static/example_lines.png
+   :width: 100%
+   :align: middle
+   :target: `ex_12`_
+.. |eximg13| image:: _static/example_gridlines.png
+   :width: 100%
+   :align: middle
+   :target: `ex_13`_
+.. |eximg14| image:: _static/example_contour.png
+   :width: 100%
+   :align: middle
+   :target: `ex_14`_
+
+.. |eximg15| replace:: ...
+
+
+.. table::
+  :width: 100%
+
+  +-----------+-----------+-----------+-----------+-----------+
+  | |eximg01| | |eximg02| | |eximg03| | |eximg04| | |eximg05| |
+  +-----------+-----------+-----------+-----------+-----------+
+  | |eximg06| | |eximg07| | |eximg08| | |eximg09| | |eximg10| |
+  +-----------+-----------+-----------+-----------+-----------+
+  | |eximg11| | |eximg12| | |eximg13| | |eximg14| | |eximg15| |
+  +-----------+-----------+-----------+-----------+-----------+
+
 .. contents:: Contents:
   :local:
   :depth: 1
 
 
+.. _ex_1:
+
 Basic data visualization
 -------------------------
 
@@ -30,6 +104,7 @@ There are 3 basic steps required to visualize your data:
 .. image:: _static/fig1.gif
   :width: 75%
 
+.. _ex_2:
 
 Customize the appearance of the plot
 ------------------------------------
@@ -44,14 +119,15 @@ Customize the appearance of the plot
 
 |toggleStart|
 
-.. literalinclude:: ../tests/example3.py
+.. literalinclude:: ../tests/example2.py
 
 |toggleEnd|
 
-.. image:: _static/fig3.png
+.. image:: _static/fig2.png
   :width: 75%
 
 
+.. _ex_3:
 
 Data-classification and multiple Maps in a figure
 -------------------------------------------------
@@ -67,14 +143,16 @@ Data-classification and multiple Maps in a figure
 
 |toggleStart|
 
-.. literalinclude:: ../tests/example2.py
+.. literalinclude:: ../tests/example3.py
 
 |toggleEnd|
 
-.. image:: _static/fig2.gif
+.. image:: _static/fig3.gif
   :width: 75%
 
 
+.. _ex_4:
+
 Callbacks - turn your maps into interactive widgets
 ---------------------------------------------------
 
@@ -102,6 +180,8 @@ Callbacks - turn your maps into interactive widgets
   :width: 75%
 
 
+.. _ex_5:
+
 Overlays, markers and annotations
 ---------------------------------
 
@@ -123,6 +203,9 @@ Overlays, markers and annotations
 The data displayed in the above gif is taken from:
     - NaturalEarth (https://www.naturalearthdata.com/)
 
+
+.. _ex_6:
+
 WebMap services and layer-switching
 -----------------------------------
 
@@ -143,6 +226,8 @@ The data displayed in the above gif is taken from:
     - OpenStreetMap hosted by Mundialis (https://www.mundialis.de/en/ows-mundialis/)
 
 
+.. _ex_7:
+
 Vektor data - interactive geometries
 -------------------------------------
 
@@ -178,6 +263,8 @@ The data displayed in the above gif is taken from:
     - NaturalEarth (https://www.naturalearthdata.com/)
 
 
+.. _ex_8:
+
 Using Scalebars
 ---------------
 
@@ -217,6 +304,8 @@ The data displayed in the above gif is taken from:
 
 
 
+.. _ex_9:
+
 Data analysis widgets - Timeseries and histograms
 -------------------------------------------------
 
@@ -238,6 +327,8 @@ This example shows how to use EOmaps to analyze a database that is associated wi
   :width: 75%
 
 
+.. _ex_10:
+
 Data analysis widgets - Select 1D slices of a 2D dataset
 --------------------------------------------------------
 
@@ -259,7 +350,7 @@ Use custom callback functions to perform arbitrary tasks on the data when clicki
   :width: 75%
 
 
-.. _EOmaps_examples_inset_maps:
+.. _ex_11:
 
 Inset-maps - get a zoomed-in view on selected areas
 ---------------------------------------------------
@@ -285,6 +376,8 @@ Quickly create nice inset-maps to show details for specific regions.
   :width: 75%
 
 
+.. _ex_12:
+
 Lines and Annotations
 ---------------------
 
@@ -310,6 +403,7 @@ Connect the anchor-points via:
   :width: 75%
 
 
+.. _ex_13:
 
 Gridlines and Grid Labels
 -------------------------
@@ -327,3 +421,23 @@ Draw custom grids and add grid labels.
 
 .. image:: _static/example_gridlines.png
   :width: 75%
+
+.. _ex_14:
+
+Contour plots and Contour Levels
+--------------------------------
+
+Use the ``contour``-shape to draw contour-plots of regular (or irregular data)
+or to indicate contour-levels on top of other plots.
+
+(requires EOmaps >= v7.1)
+
+|toggleStart|
+
+.. literalinclude:: ../tests/example_contour.py
+
+|toggleEnd|
+
+
+.. image:: _static/example_contour.png
+  :width: 75%

docs/FAQ.rst

@@ -210,7 +210,7 @@ simply provide it as an explicit argument!
 ---------------------------
 
 General changes in behavior
-+++++++++++++++++++++++++++
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 - | 🔶 Starting with EOmaps v6.0 multiple calls to ``m.plot_map()``
   | **on the same Maps-object completely remove (and replace)** the previous dataset!
@@ -226,7 +226,8 @@ General changes in behavior
   - the ordering of artists inside a layer is determined by their ``zorder``  (e.g. ``m.plot_map(zorder=123)``)
 
 Removed (previously depreciated) functionalities
-++++++++++++++++++++++++++++++++++++++++++++++++
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
 - ❌ the ``m.figure`` accessor has been removed!
 
   - Use ``m.ax``, ``m.f``, ``m.colorbar.ax_cb``, ``m.colorbar.ax_cb_plot`` instead

docs/api_companion_widget.rst

@@ -52,3 +52,21 @@ EOmaps comes with an awesome companion widget that provides many useful features
         matplotlib.use("qt5agg")
 
     For more details, have a look at :ref:`configuring_the_editor`.
+
+
+
+Additional information on Features and WebMaps
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Starting with EOmaps v7.1 the widget provides a new useful functionality to **quickly access important
+information** of :ref:`Features <ne_features>` and :ref:`WebMaps <webmap_layers>` that were used to create a map.
+
+If there is additional information available for an artist of a map, a |question_symbol| symbol will appear
+next to the corresponding entry in the **Edit** tab that will open a popup window containing the following information:
+
+- **Notes** and **infos** on the features
+- Links to **sources**, **references** and **licensing details** (without warranty for correctness!)
+- The **source code** to reproduce the current appearance of the feature
+
+.. image:: _static/minigifs/companion_widget_feature_info.gif
+  :width: 50%

docs/api_data_visualization.rst

@@ -180,13 +180,13 @@ Possible shapes that work nicely for datasets with up to ~500 000 data-points:
     delaunay_triangulation
 
 
-
 Possible shapes that work nicely for up to a few million data-points:
 
 .. autosummary::
     :nosignatures:
 
     raster
+    contour
 
 
 While :py:class:`raster` can still be used for datasets with a few million datapoints, for extremely large datasets
@@ -218,7 +218,7 @@ Possible shapes that can be used to quickly generate a plot for extremely large
     m2 = m.new_layer()                        # create a new Maps-object on the same layer
     m2.set_data(data, x, y)                   # assign another dataset to the new Maps object
     m2.set_shape.geod_circles(radius=50000,   # draw geodetic circles with 50km radius
-                            n=100)          # use 100 intermediate points to represent the shape
+                            n=100)            # use 100 intermediate points to represent the shape
     m2.plot_map(ec="k", cmap="Reds",          # plot the data
                 zorder=2, set_extent=False)   # (and avoid resetting the plot-extent)
 
@@ -428,25 +428,25 @@ To apply a uniform color to all datapoints, you can use `matpltolib's named colo
     m.set_data(data=None, x=[10,20,30], y=[10,20,30])
 
     # Use any of matplotlibs "named colors"
-    m1 = m.new_layer(copy_data_specs=True)
+    m1 = m.new_layer(inherit_data=True)
     m1.set_shape.ellipses(radius=10)
     m1.plot_map(fc="r", zorder=0)
 
-    m2 = m.new_layer(copy_data_specs=True)
+    m2 = m.new_layer(inherit_data=True)
     m2.set_shape.ellipses(radius=8)
     m2.plot_map(fc="orange", zorder=1)
 
     # Use RGB or RGBA tuples
-    m3 = m.new_layer(copy_data_specs=True)
+    m3 = m.new_layer(inherit_data=True)
     m3.set_shape.ellipses(radius=6)
     m3.plot_map(fc=(1, 0, 0.5), zorder=2)
 
-    m4 = m.new_layer(copy_data_specs=True)
+    m4 = m.new_layer(inherit_data=True)
     m4.set_shape.ellipses(radius=4)
     m4.plot_map(fc=(1, 1, 1, .75), zorder=3)
 
     # For grayscale use a string of a number between 0 and 1
-    m5 = m.new_layer(copy_data_specs=True)
+    m5 = m.new_layer(inherit_data=True)
     m5.set_shape.ellipses(radius=2)
     m5.plot_map(fc="0.3", zorder=4)
 
@@ -466,26 +466,26 @@ To explicitly color each datapoint with a pre-defined color, simply provide a li
 
     # Use any of matplotlibs "named colors"
     # (https://matplotlib.org/stable/gallery/color/named_colors.html)
-    m1 = m.new_layer(copy_data_specs=True)
+    m1 = m.new_layer(inherit_data=True)
     m1.set_shape.ellipses(radius=10)
     m1.plot_map(fc=["indigo", "g", "orange"], zorder=1)
 
     # Use RGB tuples
-    m2 = m.new_layer(copy_data_specs=True)
+    m2 = m.new_layer(inherit_data=True)
     m2.set_shape.ellipses(radius=6)
     m2.plot_map(fc=[(1, 0, 0.5),
                     (0.3, 0.4, 0.5),
                     (1, 1, 0)], zorder=2)
 
     # Use RGBA tuples
-    m3 = m.new_layer(copy_data_specs=True)
+    m3 = m.new_layer(inherit_data=True)
     m3.set_shape.ellipses(radius=8)
     m3.plot_map(fc=[(1, 0, 0.5, 0.25),
                     (1, 0, 0.5, 0.75),
                     (0.1, 0.2, 0.5, 0.5)], zorder=3)
 
     # For grayscale use a string of a number between 0 and 1
-    m4 = m.new_layer(copy_data_specs=True)
+    m4 = m.new_layer(inherit_data=True)
     m4.set_shape.ellipses(radius=4)
     m4.plot_map(fc=[".1", ".2", "0.3"], zorder=4)
 

docs/api_inset_maps.rst

@@ -43,7 +43,7 @@ For convenience, inset-map objects have the following special methods defined:
     InsetMaps.add_indicator_line
 
 
-Checkout the associated example on how to use inset-maps: :ref:`EOmaps_examples_inset_maps`
+Checkout the associated example on how to use inset-maps: :ref:`ex_11`
 
 To quickly re-position (and re-size) inset-maps, have a look at the :ref:`layout_editor`!