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for i in range(0,25):
ax = plt.subplot(1,2,i+1)
toPlot1.boxplot(column='Score',by=toPlot1.columns[i+1],ax=ax)
fig.suptitle('test title', fontsize=20)
plt.show()
I was expecting an output like the following:
But this code gives me the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-275-9c68ce91596f> in <module>()
1 fig = plt.figure()
2 for i in range(0,25):
----> 3 ax = plt.subplot(1,2,i+1)
4 toPlot1.boxplot(column='Score',by=toPlot1.columns[i+1],ax=ax)
5 fig.suptitle('test title', fontsize=20)
E:\Anaconda2\lib\site-packages\matplotlib\pyplot.pyc in subplot(*args, **kwargs)
1021 fig = gcf()
-> 1022 a = fig.add_subplot(*args, **kwargs)
1023 bbox = a.bbox
1024 byebye = []
E:\Anaconda2\lib\site-packages\matplotlib\figure.pyc in add_subplot(self, *args, **kwargs)
1003 self._axstack.remove(ax)
-> 1005 a = subplot_class_factory(projection_class)(self, *args, **kwargs)
1007 self._axstack.add(key, a)
E:\Anaconda2\lib\site-packages\matplotlib\axes\_subplots.pyc in __init__(self, fig, *args, **kwargs)
62 raise ValueError(
63 "num must be 1 <= num <= {maxn}, not {num}".format(
---> 64 maxn=rows*cols, num=num))
65 self._subplotspec = GridSpec(rows, cols)[int(num) - 1]
66 # num - 1 for converting from MATLAB to python indexing
ValueError: num must be 1 <= num <= 2, not 3
I believe it's because there can only be 2 boxplots on one graph?
Any idea on how to fix this? Any pointers would be highly appreciated.
The first argument is the number of plots in each row and the second the number of plots per column (see also the matplotlib.pyplot.subplot documentation). So the total number of plots avaiable in your case is: 1*2 = 2. If you want to create 25 you could for example use:
ax = plt.subplot(5,5,i+1)
5 plots per row and 5 per column add to a total number of 5*5 = 25
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