I have been using R for long time and I am recently learning Python. I would like to create multiple box plots in one panel in Python. My dataset is in a vector form and a label vector indicates which box plot each element of data corresponds. The example looks like this:
N = 50
data = np.random.lognormal(size=N, mean=1.5, sigma=1.75)
label = np.repeat([1,2,3,4,5],N/5)
From various websites (e.g., matplotlib: Group boxplots), Creating multiple boxplots requires a matrix object input whose column contains samples for one boxplot. So I created a list object based on data and label:
savelist = data[ label == 1]
for i in [2,3,4,5]:
savelist = [savelist, data[ label == i]]
However, the code below gives me an error:
boxplot(savelist)
Traceback (most recent call last):
File "<ipython-input-222-1a55d04981c4>", line 1, in <module>
boxplot(savelist)
File "/Users/yumik091186/anaconda/lib/python2.7/site-packages/matplotlib/pyplot.py", line 2636, in boxplot
meanprops=meanprops, manage_xticks=manage_xticks)
File "/Users/yumik091186/anaconda/lib/python2.7/site-packages/matplotlib/axes/_axes.py", line 3045, in boxplot labels=labels)
File "/Users/yumik091186/anaconda/lib/python2.7/site-packages/matplotlib/cbook.py", line 1962, in boxplot_stats
stats['mean'] = np.mean(x)
File "/Users/yumik091186/anaconda/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 2727, in mean
out=out, keepdims=keepdims)
File "/Users/yumik091186/anaconda/lib/python2.7/site-packages/numpy/core/_methods.py", line 66, in _mean
ret = umr_sum(arr, axis, dtype, out, keepdims)
ValueError: operands could not be broadcast together with shapes (2,) (10,)
Can anyone explain what is going on?