histogram

问题 So basically I want to count the number of occurrences a floating point appears in a given list. For example: a list of grades (all scores out of 100) are inputted by the user and they are sorted in groups of ten. How many times do scores from 0-10, 10-20, 20-30.. etc) appear? Like test score distribution. I know I can use the count function but since I'm not looking for specific numbers I'm having trouble. Is there a away to combine the count and range? Thanks for any help. 回答1: To group the

问题 I'm doing data-analysis in Matlab and I'm plotting the frequencies of discrete values (1-15) into a histogram on Matlab. I would like to center the bins so that the center of 1st bin is on value 1, center of the 2nd bin is on value 2, etc. Also I would like to get percentage range for the Y-axis. Any quick ideas how to do this? Here is a picture highlighting my question: 回答1: Start by using hist with your expected centers. Then use bar and xlabel to display the histogram with the y axis the

问题 I have a numpy array results that looks like [ 0. 2. 0. 0. 0. 0. 3. 0. 0. 0. 0. 0. 0. 0. 0. 2. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 2. 0. 3. 1. 0. 0. 2. 2. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 0. 2. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 3. 1. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 1. 2. 2.] I would like to plot a histogram of it. I have tried import matplotlib.pyplot as plt plt.hist(results, bins=range(5)) plt.show() This gives me a

问题 I've an image over which I would like to compute a local histogram within a circular neighborhood. The size of the neighborhood is given by a radius . Although the code below does the job, it's computationally expensive. I run the profiler and the way I'm accessing to the pixels within the circular neighborhoods is already expensive. Is there any sort of improvement/optimization based maybe on vectorization? Or for instance, storing the neighborhoods as columns? I found a similar question in

问题 I have a .txt file containing the x,y values of regularly spaced points in a 2D map, the 3rd coordinate being the density at that point. 4.882812500000000E-004 4.882812500000000E-004 0.9072267 1.464843750000000E-003 4.882812500000000E-004 1.405174 2.441406250000000E-003 4.882812500000000E-004 24.32851 3.417968750000000E-003 4.882812500000000E-004 101.4136 4.394531250000000E-003 4.882812500000000E-004 199.1388 5.371093750000000E-003 4.882812500000000E-004 1278.898 6.347656250000000E-003 4

问题 I am trying to plot a histogram of datetime.time values. Where these values are discretized into five minute slices. The data looks like this, in a list: ['17:15:00', '18:20:00', '17:15:00', '13:10:00', '17:45:00', '18:20:00'] I would like to plot a histogram, or some form of distribution graph so that the number of occurrences of each time can be examined easily. NB. Given each time is discretised then. The maximum number of bins in a histogram would be 288 = (60 / 5 * 24) I have looked at

问题 I am trying to plot a histogram of datetime.time values. Where these values are discretized into five minute slices. The data looks like this, in a list: ['17:15:00', '18:20:00', '17:15:00', '13:10:00', '17:45:00', '18:20:00'] I would like to plot a histogram, or some form of distribution graph so that the number of occurrences of each time can be examined easily. NB. Given each time is discretised then. The maximum number of bins in a histogram would be 288 = (60 / 5 * 24) I have looked at

问题 I created a histogram plot using data from a file and no problem. Now I wanted to superpose data from another file in the same histogram, so I do something like n,bins,patchs = ax.hist(mydata1,100) n,bins,patchs = ax.hist(mydata2,100) but the problem is that for each interval, only the bar with the highest value appears, and the other is hidden. I wonder how could I plot both histograms at the same time with different colors. 回答1: Here you have a working example: import random import numpy

问题 I created a histogram plot using data from a file and no problem. Now I wanted to superpose data from another file in the same histogram, so I do something like n,bins,patchs = ax.hist(mydata1,100) n,bins,patchs = ax.hist(mydata2,100) but the problem is that for each interval, only the bar with the highest value appears, and the other is hidden. I wonder how could I plot both histograms at the same time with different colors. 回答1: Here you have a working example: import random import numpy

问题 I'm wondering how to plot a 2d histogram of an HSV Mat in opencv c++. My current code attempting to display it fails miserably. I've looked around on how to plot histograms and all the ones I've found were those plotting them as independent 1d histograms. Here's my current output with the number of hue bins being 30 and saturation bins being 32: Here's another output with the number of hue bins being 7 and saturaation bins being 5: I would like it to look more like the result here http://docs