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I have data in a hashmap, and I want to create a histogram over this data using the keys as bins and the values as data.
My data:
N = {1: 12, 2: 15, 3: 8, 4: 4, 5: 1}
What I want plotted:
|
15| X
| X
| X
| X X
| X X
10| X X
| X X
| X X X
| X X X
| X X X
5| X X X
| X X X X
| X X X X
| X X X X
| X X X X X
|_________________________
1 2 3 4 5
I've tried to figure out how to do this with pyplot.hist(), but all overloads I can find take a list of values, not a hashmap. Do I really have to generate this list, just to let matplotlib count all the values again?
303
To create a histogram the first step is to create bin of the ranges, then distribute the whole range of the values into a series of intervals, and count the values which fall into each of the intervals. Bins are clearly identified as consecutive, non-overlapping intervals of variables. The matplotlib. pyplot.
In Matplotlib, we use the hist() function to create histograms. The hist() function will use an array of numbers to create a histogram, the array is sent into the function as an argument.
To make multiple overlapping histograms, we need to use Matplotlib pyplot's hist function multiple times. For example, to make a plot with two histograms, we need to use pyplot's hist() function two times. Here we adjust the transparency with alpha parameter and specify a label for each variable.
Just plot a bar graph. That's all hist does.
E.g.:
import matplotlib.pyplot as plt
N = {1: 12, 2: 15, 3: 8, 4: 4, 5: 1}
plt.bar(N.keys(), N.values(), align='center')
plt.show()
168
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