Differences

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--- other:python:jyp_steps [2019/06/27 10:49] – [Matplotlib] Added example of get/set_position jypeter
+++ other:python:jyp_steps [2019/07/09 16:39] – [Matplotlib] Added note about alpha/transparency jypeter
@@ Line 244: / Line 244: @@
       * [[https://matplotlib.org/examples/color/named_colors.html|named_colors.py]]: named colors
       * More details about the colors below, in the [[#graphics_related_resources|Resources section]]
-    - if you don't see a part of what you have plotted, maybe it's hidden behind other elements! Use the [[https://matplotlib.org/examples/pylab_examples/zorder_demo.html|zorder parameter]] to explicitly specify the plotting order/layers
+    - if you don't see a part of what you have plotted, maybe it's hidden behind other elements! Use the [[https://matplotlib.org/examples/pylab_examples/zorder_demo.html|zorder parameter]] to explicitly **specify the plotting order/layers/depth**
       * things should automatically work //as expected// if //zorder// is not explicitly specified
       * Use the ''zorder=NN'' parameter when creating objects. ''NN'' is an integer where 0 is the lowest value (the farthest from the eye), and objects are plotted above objects with a lower //zorder// value
       * Use ''matplotlib_object.set_order(NN)'' to change the order after an object has been created
+    - you can use **transparency** to partially show what is behind some markers or other objects. Many //artists// accept the ''alpha'' parameter where ''0.0'' means that the object is completely transparent, and ''1.0'' means completely opaque\\ e.g. ''my_plot.scatter(..., alpha=0.7)''
     - sometimes the results of the python/matplolib commands are displayed immediately, sometimes not. It depends if you are in [[http://matplotlib.org/faq/usage_faq.html#what-is-interactive-mode|interactive or non-interactive]] mode
     - if your matplotlib is executed in a batch script, it will generate an error when trying to create (''show()'') a plot, because matplotlib expects to be able to display the figure on a screen by default.
@@ Line 257: / Line 258: @@
 ==== Useful matplotlib reference pages ====
-  * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html|plot(...)]]: Plot y versus x as lines and/or markers
+  * Some plot types:
-  * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.scatter.html|scatter(...)]]: A scatter plot of y vs x with varying marker size and/or color
+    * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html|plot(...)]]: Plot y versus x as lines and/or markers
+    * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.scatter.html|scatter(...)]]: A scatter plot of y vs x with varying marker size and/or color
     * The ''plot'' function will be faster for scatterplots where markers don't vary in size or color
-  * [[https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.contourf.html|contour(...) and contourf(...)]]: draw contour lines and filled contours
+    * [[https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.contourf.html|contour(...) and contourf(...)]]: draw contour lines and filled contours
+  * X and Y axes parameters
+    * Axis range: ''my_plot.set_xlim(x_leftmost_value, x_rightmost_value)''
+      * Use the leftmost and rightmost values to specify the orientation of the axis (i.e the rightmost value can be smaller than the leftmost)
+    * Axis label: ''my_plot.set_xlabel(x_label_string, fontsize=axis_label_fontsize)''
+      * Use the extra labelpad parameter to move the label closer (negative value) to the axis or farther (positive value): e.g. ''my_plot.set_xlabel('A closer label', labelpad=-20''
+    * Major (and minor) tick marks location: ''my_plot.set_xticks(x_ticks_values, minor=False)''
+      * Use an empty list if you don't want tick marks: ''my_plot.set_xticks([])''
+    * Tick labels (if you don't want the default values): ''my_plot.set_xticklabels(x_ticks_labels, minor=False, fontsize=ticklabels_fontsize)''
+      * ''x_ticks_labels'' is a list of strings that has the same length as ''x_ticks_values''. Use an empty string in the positions where you don't want a label
+      * Many more options for ticks, labels, orientation, ...
   * [[https://matplotlib.org/api/_as_gen/matplotlib.lines.Line2D.html|line]] parameters
     * ''linestyle'': ''solid'', ''None'', [[https://matplotlib.org/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D.set_linestyle|other]] ([[https://matplotlib.org/examples/lines_bars_and_markers/line_styles_reference.html|default styles example]], [[https://matplotlib.org/examples/lines_bars_and_markers/linestyles.html|custom styles example]])