A simple recipe to show on a command line the histogram of a data distribution, using numpy to perform the histogram and the unicode bar characters to show the resulting plot
Python, 15 lines
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Copy to clipboard1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import numpy as np
def cli_hist(data,bins=10):
bars = u' ▁▂▃▄▅▆▇█'
n,_ = np.histogram(data,bins=bins)
n2=n*(len(bars)-1)/(max(n))
res = u" ".join( bars[i] for i in n2 )
return res
data = np.random.random(100)
print cli_hist(data)
# ▆ ▄ ▃ ▅ █ ▄ ▅ ▁ ▅ ▇
print cli_hist(data,bins=5)
# ▆ ▅ █ ▄ ▇
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I often need to get a quick look on how some data are distributed, but opening a GUI window sometimes look an overshoot. Some other time I'm working over an ssh connection, and the GUI interface is not available without difficulties.
It's looks like https://github.com/kennethreitz/spark.py, but diff is interesting.
Actually, spark (the original one https://github.com/holman/spark) is where I got the idea in the first place. I could't recall the name and didn't manage to find it again, so i wrote my own implementation.