I am trying to plot a dict with matplotlib, like this (just much more data):
b = {"A": ['26', '44', '10', '22', '26'], "B": ['39', '24'], 'C': ['22', '23'], 'D': ['21', '12']}
I wanted to make one boxplot / violinplot for each key in the dict, (than adding mean, std. deviation, etc.) like:
But posts like: Plotting a dictionary with multiple values per key does not work for me, because my keys are letters (coding for amino acids).
I am feeling like i don't see the elephant in the room.
You need to bring the data in the form of a list of lists and make sure the data is numeric and not strings. You can then plot them using the boxplot or violinplot commands.
import matplotlib.pyplot as plt
b = {"A": ['26', '44', '10', '22', '26'], "B": ['39', '24'],
'C': ['22', '23'], 'D': ['21', '12']}
index= []
data = []
for i, (key, val) in enumerate(b.iteritems()):
index.append(key)
data.append(map(float, val))
fig, (ax, ax2) = plt.subplots(ncols=2)
ax.boxplot(data)
ax.set_xticklabels(index)
ax2.violinplot(data)
ax2.set_xticks(range(1,len(index)+1))
ax2.set_xticklabels(index)
plt.show()
