## Matplotlib show all tick labels

import numpy as np from matplotlib. Using ax. This creates a new plot on top of the old one in which the y-axis ticks and labels will appear on the right instead of the left. Is that what you're looking for?Feb 13, 2015 Use plt. The following example shows how to do this. Introduction; Simple plot; Figures, Subplots, Axes and Ticks; Other Types of Plots: examples and exercises; Beyond this tutorial; Quick references Matplotlib comes with a set of default settings that allow customizing all kinds of properties. plot(x, y, 'ro') # You can specify a rotation for the tick labels in degrees or with keywords. You can . arange(len(x))). However, you may want to allow matplotlib to dynamically choose the number of ticks and their spacing. The tick marks are no exception. ticker import MaxNLocator x = np. bbox is the Bound2D bounding box in display coords of the Axes loc is the tick location in data coords size is the tick size in points. class matplotlib. 'Hogs', 'Bogs', 'Slogs'] plt. plt. The tick labels are now hardly visible because of the blue and red lines. set_xticklabels(x) call. . 1,10. set_xticks(np. Add this: ax1. xticks(x) . Find all objects in a figure of a certain type; How to prevent ticklabels from having an offset; Save transparent figures; Save multiple plots to one pdf file; Move the Control the depth of plot elements; Make the aspect ratio for plots equal; Multiple y-axis scales; Generate images without having a window appear; Use show() Using ax. Each axes has attributes xaxis and yaxis , which in turn have attributes that contain all the Add this: ax1. 2) # Tweak spacing to prevent clipping of tick-labels plt. 1) # arbitrary data ax = figure(). pyplot import figure, show from matplotlib. set_xticks causes the tick labels to be set on the currently chosen ticks. The last line makes the y-axis have integer-only labels. It makes more sense to use evenly spaced ticks. show(). See the documentation. Sep 6, 2017 Too few ticks. July 28 Let me start by saying that when making graphs with Matplotlib, my goal is to use the simplest technique I can to get the results I want. NB: The Find all objects in a figure of a certain type; How to prevent ticklabels from having an offset; Save transparent figures; Save multiple plots to one pdf file; Move the Control the depth of plot elements; Make the aspect ratio for plots equal; Multiple y-axis scales; Generate images without having a window appear; Use show() Contains all the Artists needed to make an x tick - the tick line, the label text and the grid line. YTick (axes, loc, label, size=None, width=None, color=None, tickdir=None, Jul 28, 2013 Multiple axes and minor tick marks. xticks(x, labels, rotation='vertical') # Pad margins so that markers don't get clipped by the axes plt. margins(0. 15) plt. subplots_adjust(bottom=0. In this case it may be better to determine the tick label from the value at the tick. Each axes has attributes xaxis and yaxis , which in turn have attributes that contain all the Jul 28, 2013 Multiple axes and minor tick marks. Note that using only the input values for ticks will usually be confusing to a viewer. yaxis. arange(0. plot(x) ax. To your code before your ax1. set_major_locator(MaxNLocator(integer=True)) . NB: The Contains all the Artists needed to make an x tick - the tick line, the label text and the grid line. axis. Each Matplotlib object can also act as a container of sub-objects: for example, each figure can contain one or more axes objects, each of which in turn contain other objects representing plot contents. gca() ax. 5,0. YTick (axes, loc, label, size=None, width=None, color=None, tickdir=None, Each Matplotlib object can also act as a container of sub-objects: for example, each figure can contain one or more axes objects, each of which in turn contain other objects representing plot contents 