I am giving an example of what I am trying to plot.
big_list = [[12,13,-12],[1,5,9,10,12],[-1,-2]]
plt.plot(big_list.index,big_list)
plt.show()
Output:
ValueError: x and y must have same first dimension, but have shapes (1,) and (31906,)
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2 Answers
IIUC you want to plot all sub-lists on the same figure:
for list in big_list:
plt.plot(list)
If not please comment. It's not clear to me what you want you your x axis.
Update based on comment:
In this case you can do:
from matplotlib.ticker import MaxNLocator
for i,list in enumerate(big_list):
plt.scatter([i]*len(list), list)
plt.gca().xaxis.set_major_locator(MaxNLocator(integer=True))
3 Comments
Mainland
This looks good. The problem with it is, all elements of a sub-list are not drawn on a same index. Instead, a range of index equal to the number of elements is considered. This is not what I wanted. I want all the elements of a sub-list on same index.
Stef
Please see my update for this case (or use boxplots as in your answer).
Mainland
This looks good than box plots I thought. I shall take it. Thanks
After trial and error, I found the box plots is what I wanted. I have three sub-lists and box plot produces three indexes on x-axis and produces a box on y-axis in proportionate to the values in the sub-list.
My code:
plt.boxplot(big_list)
plt.show()
Output:
