The matplotlib Chinese garbled solution in Python,

The matplotlib Chinese garbled solution in Python,

Matplotlib is a good drawing package for Python, but it does not support Chinese characters (it seems that there is no Chinese font in its default configuration), so if there is a Chinese character in the drawing, garbled characters will appear.

Matplotlib may cause garbled characters when the image is marked in Chinese.

Instance code:

Import matplotlibimport matplotlib. pyplot as plt # define text box and arrow format decisionNode = dict (boxstyle = "sawtooth", fc = "0.8") leafNode = dict (boxstyle = "round4 ", fc = "0.8") arrow_args = dict (arrowstyle = "<-") # Draw the arrow annotation def plotNode (nodeTxt, centerPt, parentPt, nodeType): createPlot. axl. annotate (nodeTxt, xy = parentPt, xycoords = 'axes fraction', xytext = centerPt, textcoords = 'axes fraction', va = "center", ha = "center ", bbox = nodeType, arrowprops = arrow_args) def createPlot (): fig = plt. figure (1, facecolor = 'white') fig. clf () createPlot. axl = plt. subplot (111, frameon = False) plotNode (U 'decision point', (0.5, 0.1), (0.1, 0.5), decisionNode) plotNode (U 'leaf node ', (0.8, 0.1), (0.3, 0.8), leafNode) plt. show ()

Solution: Introduce the font in the code

Import matplotlib. pyplot as pltimport matplotlib # define the Custom font. The file name is the Chinese font of the system. myfont = matplotlib. font_manager.FontProperties (fname = 'C:/Windows/Fonts/simkai. ttf') # solve the problem that the negative sign '-' is displayed as a square matplotlib. rcParams ['axes. unicode_minus '] = False decisionNode = dict (boxstyle = "sawtooth", fc = "0.8") leafNode = dict (boxstyle = "round4", fc = "0.8 ") arrow_args = dict (arrowstyle = "<-") def plotNode (nodeTxt, centerPt, parentPt, nodeType): createPlot. axl. annotate (nodeTxt, xy = parentPt, xycoords = 'axes fraction', xytext = centerPt, textcoords = 'axes fraction', va = "center", ha = "center ", bbox = nodeType, arrowprops = arrow_args, fontproperties = myfont) def createPlot (): fig = plt. figure (1, facecolor = 'white') fig. clf () createPlot. axl = plt. subplot (111, frameon = False) plotNode (U 'decision point', (0.5, 0.1), (0.1, 0.5), decisionNode) plotNode (U 'leaf node ', (0.8, 0.1), (0.3, 0.8), leafNode) plt. show ()

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