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
