Created
September 1, 2019 06:01
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import numpy as np | |
import matplotlib.pyplot as plt | |
fig, ax = plt.subplots() | |
ax.set_title('Horizontal Bar graph with error mark demo') | |
ax.set_xlabel('x label title') | |
ax.set_ylabel('y label title') | |
y_vals = [10, 14, 12, 11, 13] | |
y_labels = ['y' + str(i) for i in range(5)] | |
y_position = [0, 1, 2, 3, 4] | |
x_vals = 10 * np.random.rand(len(y_vals)) + 3 | |
error_mark = np.random.rand(len(y_vals)) | |
ax.barh(y_position, y_vals, xerr=error_mark, capsize=5, align='center', color='blue', alpha=0.6, ecolor='red') | |
ax.set_yticks(y_position) | |
ax.set_yticklabels(y_labels) | |
ax.invert_yaxis() | |
plt.tight_layout() | |
plt.show() |
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