Plotting A Dictionary With Multiple Values Per Key

I have a dictionary that looks like this: 1: ['4026', '4024', '1940', '2912', '2916], 2: ['3139', '2464'], 3:['212']... For a few hundred keys, I'd like to plot them with the key

Solution 1:

You need to construct your list of Xs and Ys manually:

In [258]: b={1: ['4026', '4024', '1940', '2912', '2916'], 2: ['3139', '2464'], 3:['212']}

In [259]: xs, ys=zip(*((int(x), k) for k in b for x in b[k]))

In [260]: xs, ys
Out[260]: ((4026, 4024, 1940, 2912, 2916, 3139, 2464, 212), (1, 1, 1, 1, 1, 2, 2, 3))

In [261]: plt.plot(xs, ys, 'ro')
     ...: plt.show()

resulting:

Solution 2:

1) Repeat your x values

plot expects a list of x values and a list of y values which have to have the same length. That's why you have to repeat the rank value several times. itertools.repeat() can do that for you.

2) change your iterator

iteritems() already returns a tuple (key,value). You don't have to use keys() and items().

Here's the code:

import itertools
for rank, structs in b.iteritems():
    x = list(itertools.repeat(rank, len(structs)))
    plt.plot(x,structs,'ro')

3) combine the plots

Using your code, you'd produce one plot per item in the dictionary. I guess you rather want to plot them within a single graph. If so, change your code accrodingly:

import itertools
x = []
y = []
for rank, structs in b.iteritems():
    x.extend(list(itertools.repeat(rank, len(structs))))
    y.extend(structs)
plt.plot(x,y,'ro')

4) example

Here's an example using your data:

import itertools
import matplotlib.pyplot as plt
d = {1: ['4026', '4024', '1940', '2912', '2916'], 2: ['3139', '2464'], 3:['212']}
x= []
y= []
for k, v in d.iteritems():
    x.extend(list(itertools.repeat(k, len(v))))
    y.extend(v)
plt.xlim(0,5)
plt.plot(x,y,'ro')

Solution 3:

This is because you mismatched your data entries.

Currently you have

1: ['4026', '4024', '1940', '2912', '2916']
2: ['3139', '2464'],
...

hence

x = [1,2,...]
y = [['4026', '4024', '1940', '2912', '2916'],['3139', '2464'],...

when you really need

x = [1, 1, 1, 1, 1, 2, 2, ...]
y = ['4026', '4024', '1940', '2912', '2916', '3139', '2464',...]

Try

for rank, structs in b.iteritems():
    # This matches each value for a given key with the appropriate # of copies of the # value and flattens the list# Produces x = [1, 1, 1, 1, 1, 2, 2, ...]
    x = [key for (key,values) in b.items() for _ inxrange(len(values))]

    # Flatten keys list
    # Produces y = ['4026', '4024', '1940', '2912', '2916, '3139', '2464',...]
    y = [val for subl in b.values() for val in subl]

    ax.plot(x, y, 'ro')
    plt.show()