Ax Text Matplotlib

In this post, we will focus on a more specific topic which is adding text on matplotlib plot. The following commands are used to create text in the matplotlib plot. It is better to adjust the range on y-axis so that we can have some space to add text later on. For this, we will use ax.axis which allows specifying value ranges the first

In this lab, you have learned how to effectively use text boxes in Matplotlib to enhance your data visualizations. Let's recap the key points Key Concepts Covered. Creating Basic Text Boxes You learned how to add text boxes to plots using the matplotlib.pyplot.text function with the bbox parameter.

Sometimes we want to to plot text with respect to the Figure and not just the Axes. There are three primary transformations that are available through matplotlib to allow you to plot content with respect to the original data values the default ax.transData, the Axes what we just saw ax.transAxes and the Figure fig.transFigure.For the last one when we're plotting text with respect to

matplotlib.pyplot.text matplotlib.pyplot. text x, y, s, fontdict None, kwargs source Add text to the Axes. Add the text s to the Axes at location x, y in data coordinates, with a default horizontalalignment on the left and verticalalignment at the baseline. See Text alignment. Parameters x, y float. The position to place the text.

The Axes.text function in axes module of matplotlib library is also used to add the text s to the axes at location x, y in data coordinates. Syntax Axes.textself, x, y, s, fontdictNone, withdash, kwargs Parameters This method accept the following parameters that are described below s This parameter is the text to be add. xy This parameter is the point x, y where text is to be

After the import statement, we pass the required parameters - the x and y coordinates and the text. import matplotlib.pyplot as plt x, y, text .5, .5, quottext on plotquot fig, ax plt.subplots ax.textx, y, text x, y, text 1.3, .5, quottext outside plotquot ax.textx, y, text Text1.3, 0.5, 'text outside plot' Changing the font size and font color

Text is one of the trickiest things to get right on a plot because there are so many options and permutations. Anyone who's honest will tell you that they Google the syntax every time when doing Matplotlib text formatting.

import matplotlib.pyplot as plt fig, ax plt.subplots ax.set_titlequotWelcome to how2matplotlib.comquot ax.text0.5, 0.5, quotMatplotlib Text Examplequot, ha'center', va'center' plt.show Output In this example, we create a figure and an axis, set a title using set_title, and add text to the center of the plot using the text method.

Adding annotations text also works in seaborn axes-level plots with the same methods.. For seaborn figure-level plots, you must iterate through each axes, which isn't shown. Bold text can be specified with .text or .annotate. matplotlib.pyplot.text. Use the weight or fontweight parameter. matplotlib.pyplot.annotate, which uses the same kwargs as .text. Note If LaTex fonts, plt.rc'text

verticalalignment 'center', transform ax. transAxes You can put a rectangular box around the text instance e.g., to set a background color Text in Matplotlib. Text properties and layout. Text properties and layout. On this page Axes.text Examples using matplotlib.axes.Axes.text