histogram

问题 Im creating a histogram algorithm. Im following the solution offered here. I want to simply count the number of times each value has occurred. However I cant quite get the algorithm right. My code is: var values = [2, 4, 6, 3, 3]; var val_max = 6; var val_min = 2; var num_bins = parseInt(val_max - val_min + 1); console.log('num_bins is ', num_bins); var bin_width = (val_max-val_min)/num_bins; console.log('bin_width is ', bin_width); var to_plot = []; for (var i = 0; i < num_bins; i++) { to

问题 I am trying to plot multiple histograms on the same window using a list of tuples. I have managed to get it to sketch only 1 tuple at a time and I just can't seem to get it to work with all of them. import numpy as np import matplotlib.pyplot as plt a = [(1, 2, 0, 0, 0, 3, 3, 1, 2, 2), (0, 2, 3, 3, 0, 1, 1, 1, 2, 2), (1, 2, 0, 3, 0, 1, 2, 1, 2, 2),(2, 0, 0, 3, 3, 1, 2, 1, 2, 2),(3,1,2,3,0,0,1,2,3,1)] #my list of tuples q1,q2,q3,q4,q5,q6,q7,q8,q9,q10 = zip(*a) #split into [(1,0,1,2,3) ,(2,2,2

问题 I am trying to plot multiple histograms on the same window using a list of tuples. I have managed to get it to sketch only 1 tuple at a time and I just can't seem to get it to work with all of them. import numpy as np import matplotlib.pyplot as plt a = [(1, 2, 0, 0, 0, 3, 3, 1, 2, 2), (0, 2, 3, 3, 0, 1, 1, 1, 2, 2), (1, 2, 0, 3, 0, 1, 2, 1, 2, 2),(2, 0, 0, 3, 3, 1, 2, 1, 2, 2),(3,1,2,3,0,0,1,2,3,1)] #my list of tuples q1,q2,q3,q4,q5,q6,q7,q8,q9,q10 = zip(*a) #split into [(1,0,1,2,3) ,(2,2,2

问题 My issue seems exactly like this post (albeit column types may be different): Cannot plot Histogram on Ubuntu 14.04 The code is straight out of the docs http://docs.bokeh.org/en/0.10.0/docs/user_guide/charts.html#histograms I couldn't comment on that post so needed to ask again if a solution was found... My system is SUSE. Just trying to plot a simple histogram of datetimes from a pandas df series. >>>df ACQ_DATE 0 2017-01-28 1 2017-01-28 ... ... 456365 2017-07-25 456366 2017-07-25 >>>hist =

问题 My issue seems exactly like this post (albeit column types may be different): Cannot plot Histogram on Ubuntu 14.04 The code is straight out of the docs http://docs.bokeh.org/en/0.10.0/docs/user_guide/charts.html#histograms I couldn't comment on that post so needed to ask again if a solution was found... My system is SUSE. Just trying to plot a simple histogram of datetimes from a pandas df series. >>>df ACQ_DATE 0 2017-01-28 1 2017-01-28 ... ... 456365 2017-07-25 456366 2017-07-25 >>>hist =

问题 My issue seems exactly like this post (albeit column types may be different): Cannot plot Histogram on Ubuntu 14.04 The code is straight out of the docs http://docs.bokeh.org/en/0.10.0/docs/user_guide/charts.html#histograms I couldn't comment on that post so needed to ask again if a solution was found... My system is SUSE. Just trying to plot a simple histogram of datetimes from a pandas df series. >>>df ACQ_DATE 0 2017-01-28 1 2017-01-28 ... ... 456365 2017-07-25 456366 2017-07-25 >>>hist =

问题 I'm plotting about 10,000 items in an array. They are of around 1,000 unique values. The plotting has been running half an hour now. I made sure rest of the code works. Is it that slow? This is my first time plotting histograms with pyplot. 回答1: To plot histograms using matplotlib quickly you need to pass the histtype='step' argument to pyplot.hist . For example: plt.hist(np.random.exponential(size=1000000,bins=10000)) plt.show() takes ~15 seconds to draw and roughly 5-10 seconds to update

问题 I want to add a density line (a normal density actually) to a histogram. Suppose I have the following data. I can plot the histogram by ggplot2 : set.seed(123) df <- data.frame(x = rbeta(10000, shape1 = 2, shape2 = 4)) ggplot(df, aes(x = x)) + geom_histogram(colour = "black", fill = "white", binwidth = 0.01) I can add a density line using: ggplot(df, aes(x = x)) + geom_histogram(aes(y = ..density..),colour = "black", fill = "white", binwidth = 0.01) + stat_function(fun = dnorm, args = list

问题 Given a paragraph as input, find the most frequently occurring character. Note that the case of the character does not matter. If more than one character has the same maximum occurring frequency, return all of them I was trying this question but I ended up with nothing. Following is the code that I tried but it has many errors I am unable to correct: public class MaximumOccuringChar { static String testcase1 = "Hello! Are you all fine? What are u doing today? Hey Guyz,Listen! I have a plan

问题 I have a special question. I will try to describe this as accurate as possible. I am doing a very important "micro-optimization". A loop that runs for days at a time. So if I can cut this loops time it takes to half the time. 10 days would decrease to only 5 days etc. The loop I have now is the function: "testbenchmark1". I have 4 indexes that I need to increase in a loop like this. But when accessing an index from a list that takes some extra time actually as I have noticed. This is what I