Pyplot set x label

Pyplot set x label DEFAULT

How do I set the figure title and axes labels font size in Matplotlib?

Per the official guide, use of is no longer recommended. should be used directly instead.

Globally setting font sizes via should be done with

The defaults can be restored using

You can also do this by creating a style sheet in the directory under the matplotlib configuration directory (you can get your configuration directory from ). The style sheet format is

If you have a style sheet at then you can use it via

You can also create (or modify) a matplotlibrc file which shares the format

Depending on which matplotlibrc file you modify these changes will be used for only the current working directory, for all working directories which do not have a matplotlibrc file, or for all working directories which do not have a matplotlibrc file and where no other matplotlibrc file has been specified. See this section of the customizing matplotlib page for more details.

A complete list of the keys can be retrieved via , but for adjusting font sizes you have (italics quoted from here)

  • - Fontsize of the x and y labels
  • - Fontsize of the axes title
  • - Size of the figure title ()
  • - Fontsize of the tick labels
  • - Fontsize of the tick labels
  • - Fontsize for legends (, )
  • - Fontsize for legend titles, sets to the same as the default axes. See this answer for usage example.

all of which accept string sizes or a in . The string sizes are defined relative to the default font size which is specified by

  • - the default font size for text, given in pts. 10 pt is the standard value

Additionally, the weight can be specified (though only for the default it appears) by

  • - The default weight of the font used by . Accepts or (), (), , and (relative with respect to current weight).
Sours: https://stackoverflow.com/questions//how-do-i-set-the-figure-title-and-axes-labels-font-size-in-matplotlib

Matplotlib Labels and Title

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Create Labels for a Plot

With Pyplot, you can use the and functions to set a label for the x- and y-axis.

Example

Add labels to the x- and y-axis:

import numpy as np
import matplotlib.pyplot as plt

x = np.array([80, 85, 90, 95, , , , , , ])
y = np.array([, , , , , , , , , ])

plt.plot(x, y)

plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")

plt.show()

Result:

Try it Yourself »

Create a Title for a Plot

With Pyplot, you can use the function to set a title for the plot.

Example

Add a plot title and labels for the x- and y-axis:

import numpy as np
import matplotlib.pyplot as plt

x = np.array([80, 85, 90, 95, , , , , , ])
y = np.array([, , , , , , , , , ])

plt.plot(x, y)

plt.title("Sports Watch Data")
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")

plt.show()

Result:

Try it Yourself »

Set Font Properties for Title and Labels

You can use the parameter in , , and to set font properties for the title and labels.

Example

Set font properties for the title and labels:

import numpy as np
import matplotlib.pyplot as plt

x = np.array([80, 85, 90, 95, , , , , , ])
y = np.array([, , , , , , , , , ])

font1 = {'family':'serif','color':'blue','size'}
font2 = {'family':'serif','color':'darkred','size'}

plt.title("Sports Watch Data", fontdict = font1)
plt.xlabel("Average Pulse", fontdict = font2)
plt.ylabel("Calorie Burnage", fontdict = font2)

plt.plot(x, y)
plt.show()

Result:

Try it Yourself »

Position the Title

You can use the parameter in to position the title.

Legal values are: 'left', 'right', and 'center'. Default value is 'center'.

Example

Position the title to the left:

import numpy as np
import matplotlib.pyplot as plt

x = np.array([80, 85, 90, 95, , , , , , ])
y = np.array([, , , , , , , , , ])

plt.title("Sports Watch Data", loc = 'left')
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")

plt.plot(x, y)
plt.show()

Result:

Try it Yourself »

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Sours: https://www.w3schools.com/python/matplotlib_labels.asp
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Matplotlib - Setting Ticks and Tick Labels



Ticks are the markers denoting data points on axes. Matplotlib has so far - in all our previous examples - automatically taken over the task of spacing points on the axis.Matplotlib's default tick locators and formatters are designed to be generally sufficient in many common situations. Position and labels of ticks can be explicitly mentioned to suit specific requirements.

The xticks() and yticks() function takes a list object as argument. The elements in the list denote the positions on corresponding action where ticks will be displayed.

ax.set_xticks([2,4,6,8,10])

This method will mark the data points at the given positions with ticks.

Similarly, labels corresponding to tick marks can be set by set_xlabels() and set_ylabels() functions respectively.

ax.set_xlabels([‘two’, ‘four’,’six’, ‘eight’, ‘ten’])

This will display the text labels below the markers on the x axis.

Following example demonstrates the use of ticks and labels.

import matplotlib.pyplot as plt import numpy as np import math x = np.arange(0, math.pi*2, ) fig = plt.figure() ax = fig.add_axes([, , , ]) # main axes y = np.sin(x) ax.plot(x, y) ax.set_xlabel(‘angle’) ax.set_title('sine') ax.set_xticks([0,2,4,6]) ax.set_xticklabels(['zero','two','four','six']) ax.set_yticks([-1,0,1]) plt.show() Tick and Labels
Sours: https://www.tutorialspoint.com/matplotlib/matplotlib_setting_ticks_and_tick_labels.htm
Ep15: Matplotlib (basic) - Part 6: Set xtick and ytick for figure

Add a title and axis labels to your charts using matplotlib

Sours: https://www.python-graph-gallery.com/4-add-title-and-axis-label/

Label x pyplot set

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Matplotlib Tutorial 3 - Axes labels, Legend, Grid

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