How to decrease the hatch density in Matplotlib?

MatplotlibPythonData Visualization

To decrease the hatch density in Matplotlib, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.

  • Make a customized horizontal hatch class to override the density.

  • Append the horizontal hatch class.

  • Create a new figure or activate an existing figure.

  • Add an 'ax1' to the figure as part of a subplot arrangement.

  • Make lists of data points.

  • Make a bar plot with x and ydata points, with hatch='o', color='green' and edgecolor='red'.

  • To display the figure, use show() method.

Example

from matplotlib import pyplot as plt, hatch

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

class MyHorizontalHatch(hatch.HorizontalHatch):
   def __init__(self, hatch, density):
      char_count = hatch.count('o')
      if char_count > 0:
         self.num_lines = int((1.0 / char_count) * density)
      else:
         self.num_lines = 0
      self.num_vertices = self.num_lines * 2
      super().__init__(hatch, density)

hatch._hatch_types.append(MyHorizontalHatch)

fig = plt.figure()

ax1 = fig.add_subplot(111)

x = [3, 6, 1]
y = [4, 6, 1]

ax1.bar(x, y, color='green', edgecolor='red', hatch="o", lw=1., zorder=0)

plt.show()

Output

raja
Published on 10-Aug-2021 07:37:27
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