How to plot histogram, when the number of values in interval is given? (python)-CodePudding

I know that when you usually plot a histogram you have an array of values and intervals. But if I have intervals and the number of values that are in those intervals, how can I plot the histogram?

I have something that looks like this:

amounts = np.array([23, 7, 18, 5])

and my interval is from 0 to 4 with step 1, so on interval [0,1] there are 23 values and so on.

CodePudding user response：

You could probably try matplotlib.pyplot.stairs for this.

import matplotlib.pyplot as plt
import numpy as np

amounts = np.array([23, 7, 18, 5])
plt.stairs(amounts, range(5))

plt.show()

Please mark it as solved if this helps.

CodePudding user response：

I find it easier to just simulate some data having the desired distribution, and then use plt.hist to plot the histogram.

Here is am example. Hopefully it will be helpful!

import numpy as np
import matplotlib.pyplot as plt


amounts = np.array([23, 7, 18, 5])
bin_edges = np.arange(5)
bin_centres = (bin_edges[1:]   bin_edges[:-1]) / 2

# fake some data having the desired distribution
data = [[bc] * amount for bc, amount in zip(bin_centres, amounts)]
data = np.concatenate(data)

hist = plt.hist(data, bins=bin_edges, histtype='step')[0]
plt.show()

# the plotted distribution is consistent with amounts
assert np.allclose(hist, amounts)