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other:python:matplotlib_by_jyp [2021/02/26 11:45]
jypeter More gallery links updates
other:python:matplotlib_by_jyp [2021/05/11 15:12]
jypeter [Useful matplotlib reference pages] added tick formatters
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         * [[https://​stackoverflow.com/​questions/​35479508/​cartopy-set-xlabel-set-ylabel-not-ticklabels|Trick source]]         * [[https://​stackoverflow.com/​questions/​35479508/​cartopy-set-xlabel-set-ylabel-not-ticklabels|Trick source]]
         * Trick needs to be used with ''​cartopy 0.17.0''​\\ Remember to update/​remove this information in the future         * Trick needs to be used with ''​cartopy 0.17.0''​\\ Remember to update/​remove this information in the future
-    * Major (and minor) **tick marks location**: ''​my_plot.set_xticks(x_ticks_values,​ minor=False)''​+    * Major (and minor) **tick marks location**: ''​my_plot.set_xticks(x_ticks_values,​ minor=False)'' ​([[https://​matplotlib.org/​stable/​api/​_as_gen/​matplotlib.axes.Axes.set_xticks.html|set_xticks]])
       * Use an empty list if you don't want tick marks: ''​my_plot.set_xticks([])''​       * 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)''​ +    * **Tick labels**: ''​my_plot.set_xticklabels(x_tick_labels, minor=False,​ fontsize=ticklabels_fontsize)'' ​([[https://​matplotlib.org/​stable/​api/​_as_gen/​matplotlib.axes.Axes.set_xticklabels.html|set_xticklabels]]) 
-      * ''​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+      * If you do not specify labels, the //default labels// will just be the values specifying the ticks' ​location 
 +      * ''​x_tick_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 
 +      * The default numerical labels may be too long, due to numerical approximations. You can try to explicitly round the values, or generate correct label strings from the values\\ <​code>>>>​ x_tick_values = np.arange(0,​ 1, 0.2) 
 +>>>​ x_tick_values.tolist() 
 +[0.0, 0.2, 0.4, 0.6000000000000001,​ 0.8] 
 +>>>​ x_tick_values.round(decimals=1).tolist() 
 +[0.0, 0.2, 0.4, 0.6, 0.8] 
 +>>>​ x_tick_labels = [ '​%.1f'​ % (t_val,) for t_val in x_tick_values ] 
 +>>>​ x_tick_labels 
 +['​0.0',​ '​0.2',​ '​0.4',​ '​0.6',​ '​0.8'​] 
 +>>>​ x_tick_labels[0] = '​START'​ 
 +>>>​ x_tick_labels[-1] = '​END'​ 
 +>>>​ x_tick_labels 
 +['​START',​ '​0.2',​ '​0.4',​ '​0.6',​ '​END'​] 
 +</​code>​  
 +      * You can also use fancy [[https://​matplotlib.org/​stable/​gallery/​ticks_and_spines/​tick-formatters.html|tick formatters]]
       * Many more options for ticks, labels, orientation,​ ...       * Many more options for ticks, labels, orientation,​ ...
     * **Grid lines**:     * **Grid lines**:
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         * [[https://​matplotlib.org/​stable/​gallery/​text_labels_and_annotations/​titles_demo.html|Title and labels positions demo]]         * [[https://​matplotlib.org/​stable/​gallery/​text_labels_and_annotations/​titles_demo.html|Title and labels positions demo]]
     * ''​fontsize'':​ size in points, or (better!) string specifying a relative size (''​xx-small'',​ ''​x-small'',​ ''​small'',​ ''​medium'',​ ''​large'',​ ''​x-large'',​ ''​xx-large''​)     * ''​fontsize'':​ size in points, or (better!) string specifying a relative size (''​xx-small'',​ ''​x-small'',​ ''​small'',​ ''​medium'',​ ''​large'',​ ''​x-large'',​ ''​xx-large''​)
-    * [[https://​matplotlib.org/​api/​text_api.html#​matplotlib.text.Text|all the text properties]] +    * [[https://​matplotlib.org/stable/​api/​text_api.html|all the text properties]] 
-  * [[https://​matplotlib.org/​api/​pyplot_api.html#​matplotlib.pyplot.legend|legend(...)]] ([[https://​matplotlib.org/​examples/pylab_examples/legend_demo3.html|legend demo]], [[https://​matplotlib.org/​users/​legend_guide.html|advanced legend guide]])+  * [[https://​matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.legend.html|legend(...)]] ([[https://​matplotlib.org/​stable/gallery/text_labels_and_annotations/​legend_demo.html|legend demo]], [[https://​matplotlib.org/​stable/​tutorials/​intermediate/​legend_guide.html|advanced legend guide]])
     * The legend will //show// the lines (or other objects) that were associated with a //label// with the ''​label=''​ keyword when creating/​updating a plot     * The legend will //show// the lines (or other objects) that were associated with a //label// with the ''​label=''​ keyword when creating/​updating a plot
       * If there are some elements of a plot that you do not want to associate with a legend (e.g. there are several lines with the same color and markers, but you want to plot the legend only once), do not specify a ''​label=''​ keyword for these elements, or add a ''​_''​ at the front of the label strings       * If there are some elements of a plot that you do not want to associate with a legend (e.g. there are several lines with the same color and markers, but you want to plot the legend only once), do not specify a ''​label=''​ keyword for these elements, or add a ''​_''​ at the front of the label strings
other/python/matplotlib_by_jyp.txt · Last modified: 2023/10/26 08:39 by jypeter