plt normalized histogram
plt.hist(data, density=True)matplotlib hist
# Import packages
import matplotlib.pyplot as plt
%matplotlib inline
# Create the plot
fig, ax = plt.subplots()
# Plot the histogram with hist() function
ax.hist(x, edgecolor = "black", bins = 5)
# Label axes and set title
ax.set_title("Title")
ax.set_xlabel("X_Label")
ax.set_ylabel("Y_Label")plt.hist using bins
counts, bins = np.histogram(data)
plt.hist(bins[:-1], bins, weights=counts)python matpotlib histplot
import matplotlib.pyplot as plt
plt.hist(x) #x is a array of numbers
plt.show()plt.hist bins
matplotlib.pyplot.hist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)Copyright © 2021 Codeinu
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