# DS-1000 / 417

task_id: e6f30a2a-c842-5779-82ff-05f2c50dd8f5
task_key: default--test--417
task_revision_id: 1

{"library":"Numpy","prompt":"Problem:\nI have a numpy array which contains time series data. I want to bin that array into equal partitions of a given length (it is fine to drop the last partition if it is not the same size) and then calculate the mean of each of those bins. Due to some reason, I want the binning starts from the end of the array.\nI suspect there is numpy, scipy, or pandas functionality to do this.\nexample:\ndata = [4,2,5,6,7,5,4,3,5,7]\nfor a bin size of 2:\nbin_data = [(5,7),(4,3),(7,5),(5,6),(4,2)]\nbin_data_mean = [6,3.5,6,5.5,3]\nfor a bin size of 3:\nbin_data = [(3,5,7),(7,5,4),(2,5,6)]\nbin_data_mean = [5,5.33,4.33]\nA:\n<code>\nimport numpy as np\ndata = np.array([4, 2, 5, 6, 7, 5, 4, 3, 5, 7])\nbin_size = 3\n</code>\nbin_data_mean = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n"}

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initial import

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