plot histogram python
import matplotlib.pyplot as plt
data = [1.7,1.8,2.0,2.2,2.2,2.3,2.4,2.5,2.5,2.5,2.6,2.6,2.8,
2.9,3.0,3.1,3.1,3.2,3.3,3.5,3.6,3.7,4.1,4.1,4.2,4.3]
plt.hist(data)
plt.title('Histogram of Data')
plt.xlabel('data')
plt.ylabel('count')numpy histogram 0 to 100 percent
kwargs2 = dict(histtype='step')
fig, ax1=plt.subplots(1,1,sharey=True, facecolor='w',figsize=(8,6))
counts_zi, bins_zi = np.histogram(np.array(dt_mu_zi)*60)
ax1.hist(bins_zi[:-1], bins_zi, weights=100*counts_zi/counts_zi.sum(),color='red', **kwargs2)
x0, x1 = ax1.get_xlim()
ax1.set_xlim([x0,x0+1*(x1-x0)])
ax1.set_ylabel('Frequency',fontsize=12)
ax1.set_xlabel('Delta time (minutes)',fontsize=12)
plt.xticks([-180,-150,-120,-90,-60,-30,0,30,60,90,120,150,180])Copyright © 2021 Codeinu
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