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other:python:jyp_steps [2019/06/18 08:40]
jypeter [Useful matplotlib reference pages] Added special colormap values
other:python:jyp_steps [2019/06/21 15:23]
jypeter [Matplotlib] Added add_axes
Line 211: Line 211:
 bottom_plot = plot_array[2]</​code>​ bottom_plot = plot_array[2]</​code>​
           * creating a figure and axes with a single line: ''​my_page,​ plot_array = **plt**.subplots(3,​ 1)''​           * creating a figure and axes with a single line: ''​my_page,​ plot_array = **plt**.subplots(3,​ 1)''​
 +        * use [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.figure.Figure.html#​matplotlib.figure.Figure.add_axes|my_page.add_axes(...)]] to add an axis in an arbirary location of the page\\ ''​my_page.add_axes([left,​ bottom, width, height])''​
       * a Matplotlib **//​Artist//​** or //Patch// is //​something//​ (e.g a line, a group of markers, text, the legend...) plotted ​ on the Figure/Axis       * a Matplotlib **//​Artist//​** or //Patch// is //​something//​ (e.g a line, a group of markers, text, the legend...) plotted ​ on the Figure/Axis
       * **clearing** the //page// (or part of it): you probably won't need that...       * **clearing** the //page// (or part of it): you probably won't need that...
Line 251: Line 252:
   * [[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.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     * 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.lines.Line2D.html|line]] parameters   * [[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]])     * ''​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]])
   * [[https://​matplotlib.org/​api/​markers_api.html|marker types]]   * [[https://​matplotlib.org/​api/​markers_api.html|marker types]]
-    * ''​fillstyle'':​ ''​full'',​ ''​None'',​ [[https://​matplotlib.org/​gallery/​lines_bars_and_markers/​marker_fillstyle_reference.html|other]] +    ​* Default marker size and edge width: 
-    Other attributes: ''​markersize'',​ ''​markerfacecolor''​ (and ''​markerfacecoloralt'' ​for dual color markers), ''​markeredgecolor'',​ ''​markeredgewidth''​+      ​* ''​mpl.rcParams['lines.markersize'] %%**%% 2''​ => 36 
 +      * ''​mpl.rcParams['​lines.linewidth'​]''​ => 1.5 
 +    * Other marker attributes. For ''​plot'',​ all the markers have the same attributes, and for ''​scatter''​ the attributes can be the same, or specified for each marker 
 +      * [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.pyplot.plot.html|plot(...)]]:​ //fmt// (see documentation) or ''​marker''​ and ''​markerfacecolor''/''​mfc''​ (and ''​markerfacecoloralt''/''​mfcalt''​ for dual color markers), ''​markersize'',​ ''​markeredgewidth''/''​mew'',​ ''​markeredgecolor'',​ ''​fillstyle''​ (''​full'',​ ''​None'',​ [[https://​matplotlib.org/​gallery/​lines_bars_and_markers/​marker_fillstyle_reference.html|other]]) 
 +      [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.pyplot.scatter.html|scatter(...)]]: ''​marker'' ​(marker type), ''​c''​ (color), ​''​s'' ​(size), ''​linewidths'' ​(linewidth of the marker edges), ''​edgecolors''​
   * [[https://​matplotlib.org/​api/​colors_api.html|colors]] and colormaps   * [[https://​matplotlib.org/​api/​colors_api.html|colors]] and colormaps
     * [[https://​matplotlib.org/​gallery/​color/​color_demo.html|color demo]]     * [[https://​matplotlib.org/​gallery/​color/​color_demo.html|color demo]]
Line 264: Line 270:
       * ''​cmap.set_over(color='​k'​)'':​ color to be used for high out-of-range values       * ''​cmap.set_over(color='​k'​)'':​ color to be used for high out-of-range values
       * ''​cmap.set_under(color='​k'​)'':​ color to be used for low out-of-range values       * ''​cmap.set_under(color='​k'​)'':​ color to be used for low out-of-range values
 +  * [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.figure.Figure.html#​matplotlib.figure.Figure.colorbar|colorbar]] and ([[https://​matplotlib.org/​gallery/​images_contours_and_fields/​contourf_demo.html|contourf + colorbar demo]])
   * [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.pyplot.text.html|text(...)]] and [[https://​matplotlib.org/​tutorials/​text/​annotations.html|annotations]]   * [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.pyplot.text.html|text(...)]] and [[https://​matplotlib.org/​tutorials/​text/​annotations.html|annotations]]
     * Some titles:     * Some titles:
Line 281: Line 288:
   * The [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.figure.Figure.html|figure(...)]] and the associated methods   * The [[https://​matplotlib.org/​api/​_as_gen/​matplotlib.figure.Figure.html|figure(...)]] and the associated methods
   * The [[https://​matplotlib.org/​api/​axes_api.html|axes]] and the associated methods   * The [[https://​matplotlib.org/​api/​axes_api.html|axes]] and the associated methods
-  * [[https://​matplotlib.org/​tutorials/​introductory/​customizing.html#​matplotlib-rcparams|matplotlib default settings]] can be queried and updated+  * [[https://​matplotlib.org/​tutorials/​introductory/​customizing.html#​matplotlib-rcparams|matplotlib default ​config/settings]] can be queried and updated
     * example: the default figure size (inches) is ''​mpl.rcParams['​figure.figsize'​]''​ (''​[6.4,​ 4.8]''​)     * example: the default figure size (inches) is ''​mpl.rcParams['​figure.figsize'​]''​ (''​[6.4,​ 4.8]''​)
     * current settings'​ file:  ''​mpl.matplotlib_fname()''​     * current settings'​ file:  ''​mpl.matplotlib_fname()''​
other/python/jyp_steps.txt · Last modified: 2024/03/07 10:15 by jypeter