Creating multiple boxplots on the same graph from a dictionary

Question

I am trying to create a graph whereby the x axis is the key of the dictionary and the boxplot is from the information inside the dictionary. My dictionary can have many keys.

Data = {'ABC': [34.54, 34.345, 34.761], 'DEF': [34.541, 34.748, 34.482]}
    
for ID in Data:      
        plt.boxplot(Data[ID])
        plt.xlabel(ID)
plt.savefig('BoxPlot.png')
plt.clf()

It however seems to put the box plots on top of each other. I tried iterating the positions value within boxplot with no luck. I would also like to use the key as the xaxis value for each boxplot if possible.

Debatable

To avoid unnecessary work on the part of someone willing to answer your question, please provide a Minimal, Complete, and Verifiable example. In particular, please provide toy datasets (the dictionnaries you are refering to). – Cunningham

Perhaps this example has the answer to your question: matplotlib.org/gallery/statistics/boxplot_demo.html – Chaddie

Answer 1

my_dict = {'ABC': [34.54, 34.345, 34.761], 'DEF': [34.541, 34.748, 34.482]}

fig, ax = plt.subplots()
ax.boxplot(my_dict.values())
ax.set_xticklabels(my_dict.keys())

Cunningham

in jupyter notebooks i get a warning <ipython-input-94-a3fad8ec34c0>:5: UserWarning: FixedFormatter should only be used together with FixedLocator ax.set_xticklabels(my_dict.keys()) – Incapacious

Answer 2

labels= parameter can be used to set x-axis labels in the boxplot() call.

my_dict = {'ABC': [34.54, 34.345, 34.761], 'DEF': [34.541, 34.748, 34.482]}
plt.boxplot(my_dict.values(), labels=my_dict.keys());

If it were a pandas dataframe, the labels are also applied automatically.

df = pd.DataFrame(my_dict)
df.plot(kind='box');

Batish