rand.ipynb

{"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.8"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"%matplotlib inline","metadata":{"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport matplotlib.colors as colors\nimport numpy as np","metadata":{"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"rands = np.random.rand(10000)","metadata":{"trusted":true},"execution_count":9,"outputs":[]},{"cell_type":"code","source":"values_round = np.round(rands*10).astype(int)\nvalues_round_cnt = np.add(np.zeros(11).astype(int), np.bincount(values_round, minlength=11))\nplt.bar(np.arange(0,11), values_round_cnt)\nplt.show()","metadata":{"trusted":true},"execution_count":10,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"values_floor = np.floor(rands*10).astype(int)\nvalues_floor_cnt = np.add(np.zeros(10).astype(int), np.bincount(values_floor, minlength=10))\nplt.bar(np.arange(0,10), values_floor_cnt)\nplt.show()","metadata":{"trusted":true},"execution_count":11,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}