Making a histogram of string values in python

问题

OK so I have six possible values for data to be which are '32', '22', '12', '31', '21' and '11'. I have these stored as strings. Is it possible for python to sort through the data and just make six bins and show how many of each I have? Or do the inputs to a histogram HAVE to be numerical?

回答1:

data =  ['32', '22', '12', '32', '22', '12', '31', '21', '11']
dict((x, data.count(x)) for x in data)

Result

{'11': 1, '12': 2, '21': 1, '22': 2, '31': 1, '32': 2}

回答2:

Did you consider using collections.Counter?

# python 2.7
>>> l = ['32', '22', '12', '31', '21', '11', '32']
>>> import collections
>>> collections.Counter(l)
Counter({'32': 2, '11': 1, '12': 1, '21': 1, '22': 1, '31': 1})

回答3:

data =  ['32', '22', '12', '32', '22', '12', '31', '21', '11']
sm = {i:0 for i in ['32', '22', '12', '31', '21','11']}
for i in data:
    sm[i] += 1
print sm

Something like this?

回答4:

Assuming data is a list and you want to count the numbers in a bins. I will use bins as a dictionary.

bin = {'11': 0, '12': 0, '21': 0, '22': 0, '31': 0, '32': 0}

for element in data:
    if element in bin:  # Ignore other elements in data if any
        bin[element] = bin[element] + 1

bins dictionary will have frequency of each element in data list. Now you can use bins to plot bar graph using graph plot library. May be you can use this post to check matplotlib usage for plotting bar graph.

来源：https://stackoverflow.com/questions/13156657/making-a-histogram-of-string-values-in-python

标签

python

string

histogram