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This article mainly introduces matplotlib how to achieve text word processing, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let Xiaobian take you to understand.

1.4. Working with text

The text () command can add text anywhere, xlabel (), ylabel (), and title () add the x-axis, y-axis label and title, respectively.

Import numpy as npimport matplotlib.pyplot as plt# Fixing random state for reproducibilitynp.random.seed (19680801) mu, sigma= 100,15x = mu + sigma * np.random.randn (10000) # the histogram of the datan, bins, patches = plt.hist (x, 50, normed=1, facecolor='g', alpha=0.75) plt.xlabel ('Smarts') plt.ylabel (' Probability') plt.title ('Histogram of IQ') plt.text (60, .025, rang $\ mu=100,\\ sigma=15 $') plt.axis ([40,160,0) 0.03]) plt.grid (True) plt.show ()

All text () commands return an instance of matplotlib.text.Text, changing them through properties or setp ().

T = plt.xlabel ('my data', fontsize=14, color='red')

1.4.1 use of mathematical expressions

Plt.title (ringing $\ sigma_i=15 $')

The preceding r specifies that the string following it is the original string, and then uses a $package to indicate that the middle is a mathematical expression, and\ indicates the translation of a specific mathematical symbol.

4.2 Notes

The annotate () method provides an annotated method.

Annotate (string,xy,xytest,arrowprops)

Import numpy as npimport matplotlib.pyplot as pltax = plt.subplot (111t) t = np.arange (0.0,5.0,0.01) s = np.cos (2*np.pi*t) line, = plt.plot (t, s, lw=2) plt.annotate ('local max', xy= (2,1), xytext= (3,1.5), arrowprops=dict (facecolor='black', shrink=0.05),) plt.ylim (- 2Magne2) plt.show ()

By default, xy and xytext use the coordinates of the data, and you can specify other coordinate systems as well.

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