I just tried to create a histogram build upon a list of characters like this: histogram [a c a c b c a c c c c c c a c c a c a c a a c c c a a b c b c] But it doesn't...

I have yet another R question. I am trying to do some type checking, but cannot exactly figure out what I am doing wrong. I am trying to create a histogram for each level of y. So for instance, I want to create overlaying histograms of the iris data species...

I am currently trying to display a histogram using GPUImage. I currently have following code: GPUImageOutput<GPUImageInput> *filter = [[GPUImageHistogramFilter alloc] initWithHistogramType:kGPUImageHistogramLuminance]; [self.stillCamera removeTarget:filter]; GPUImageGammaFilter *gammaFilter = [[GPUImageGammaFilter alloc] init]; [self.stillCamera addTarget:gammaFilter]; [gammaFilter addTarget:filter]; GPUImageHistogramGenerator *histogramGraph = [[GPUImageHistogramGenerator alloc] init]; [histogramGraph...

Given this example of back to back histogram: set.seed (123) xvar <- round (rnorm (100, 54, 10), 0) xyvar <- round (rnorm (100, 54, 10), 0) myd <- data.frame (xvar, xyvar) valut <- as.numeric (cut(c(myd$xvar,myd$xyvar), 12)) myd$xwt <- valut[1:100] myd$xywt <- valut[101:200] xy.pop <- data.frame (table (myd$xywt)) xx.pop <- data.frame...

How to do histogram equalization for multiple grayscaled images stored in a NumPy array easily? I have the 96x96 pixel NumPy data in this 4D format: (1800, 1, 96,96) ...

t.dat file looks like this: 260.37 260.04 261.53 261.32 260.19 260.49 260.43 260.59 260.26 260.68 260.28 259.93 260.82 259.50 260.29 260.52 260.30 259.91 262.24 260.58 260.74 260.22 261.66 260.31 260.99 259.79 260.90 259.88 260.19 261.50 259.32 260.79 259.94 260.35 260.03 260.07 261.86 261.09 260.60 260.15 75.17 75.16 75.33 75.31 75.34...

I want a nice density (that sums to 1) histogram for some discrete data. I have tried a couple of ways to do this, but none were entirely satisfactory. Generate some data: #data set.seed(-999) d.test = data.frame(score = round(rnorm(100,1))) mean.score = mean(d.test[,1]) d1 = as.data.frame(prop.table(table(d.test))) The first gives the right...

I have a large list (or stream) of UTF-8 strings sorted lexicographically. I would like to create a histogram with approximately equal values for the counts, varying the bin width as necessary to keep the counts even. In the literature, these are sometimes called equi-height, or equi-depth histograms. I'm not...

I have a histogram like this (just like a normal histogram): In my situation, there are 20 bars always (spanning x axis from 0 to 1) and the color of the bar is defined based on the value on the x axis. What I want is to add a color...

I have csv file, I want to create histogram from column 6. Using Linux utilities this is simple: └──> cut -f6 -d, nupic_out.csv | grep -vi [a-z] | grep -v '^$' | sort | uniq -c | sort -k2,2n 563 0.0 72 0.025 35 0.05 22 0.075 14 0.1 21...

I have an matrix A containing two columns for two sets of data. I want to plot these on the same histogram, using different colors for the bars representing the class intervals. I can do this using hist(A), in which case each column in the matrix is taken as a...

I have created a program which outputs 10 numbers based on probability. The program then sums the numbers in the list and adds this sum to a new list - outcome1. My questions is how can I loop this program so that it it outputs 10 numbers, say 15 times?...

I read dataframe from csv file. One column contains year (sample: 1900) or '' of peoples' birthday. How can I show histogarm of the column in Python 3?

This question is related to gnuplot histogram: How to put values on top of bars. I have a datafile file.dat: x y1 y2 1 2 3 2 3 4 3 4 5 and the gnuplot: set style data histogram; set style histogram rowstacked; plot newhistogram 'foo', 'file.dat' u 2:xtic(1) t...

I have something like import matplotlib.pyplot as plt import numpy as np a=[0.05, 0.1, 0.2, 1, 2, 3] plt.hist((a*2, a*3), bins=[0, 0.1, 1, 10]) plt.gca().set_xscale("symlog", linthreshx=0.1) plt.show() which gives me the following plot: As one can see, the bar width is not equal. In the linear part (from 0 to...

The Python function below is to compute histogram of data, with equal-sized bins. I would like to get the correct result [1, 6, 4, 6] However after I run the code, it get result [7, 12, 17, 17] which is not correct. Can anybody know how to fix it? #...

I am trying to draw a histogram with broken x-axis. I learnt the basic solution from this post. However, the x-axis of my histogram is based on strings, not number. It's like this: set terminal pdf set output "test-bar.pdf" set boxwidth 1.0 absolute set style fill solid 1 border 0...

I am trying to replicate the concept of chart Fig 1 from the following paper (http://dx.doi.org/10.1016/j.envsci.2011.08.004): It is a histogram whose bin widths vary dependent upon the value of x and whose height depends on variable y. The precise values in the chart are not of concern - rather, understanding...

I have floating point data in a Pandas dataframe. Each column represents a variable (they have string names) and each row a set of values (the rows have integer names which are not important). >>> print data 0 kppawr23 kppaspyd 1 3.312387 13.266040 2 2.775202 0.100000 3 100.000000 100.000000 4...

I want to produce a histogram with ggplot, i have dataframe "plot_data" plot_data<-data.frame(CLV.decile=unique(subset.customer_data$CLV.decile), CLV=unique(subset.customer_data$mean.CLV.decile)) that looks like this > plot_data CLV.decile CLV 1 10 1560 2 5 1525 3 1 1512 This is the plot: ylim <- c(0, 1.1*max(plot_data$CLV)) ggplot(plot_data, aes(x=CLV.decile, y=CLV)) + geom_histogram(stat="identity",fill="skyblue",colour="black") + labs(x="Decile",y="CLV") + geom_text(aes(label=CLV), vjust=-1) +...

I have a set of data: DF <- read.table(text="Rank F1 F2 F3 1 500 250 50 2 400 100 30 3 300 155 100 4 200 90 10", header=TRUE) library(reshape2) DF1 <- melt(DF, id.var="Rank") I want to create a stacked histogram: library(ggplot2) ggplot(DF1, aes(x = Rank, y = value, fill...

I am trying to plot a histogram of two overlapping distributions in ggplot2. Unfortunately, the graphic needs to be in black and white. I tried representing the two categories with different shades of grey, with transparency, but the result is not as clear as I would like. I tried adding...

I need to plot a combined boxplot and histogram. While I am able to plot them together I am unable to do print the xlabel abd ylabel in the histogram. Every time I try to adjust the margins I get the error 'figure margins too large'. Here is the code...

simple question. hopefully it's really quite basic. I have a pandas dataframe named firstperiod and a column named megaball. The range of the values in megaball are from 1 to 25, and this line of code: print firstperiod.megaball.value_counts().sort_index() gives me this, which is what I want to see (the #...

I want to change how data are distributed in the histogram that I built.My histogram looks like But I want it to look like I set bins1=[10,30,50,70]; hist(data,bins1) How can I arrange the bins as in the second figure?...

I have a simple gnuplot script to plot a histogram with differently colored bars, with each color representing a group. How can I show 3 different keys (1 red, 1 green and 1 blue)? This is my script: unset title set key left set yrange [0:10] set ylabel 'Score' set...

I am using the approach from this Yale page on fractals: http://classes.yale.edu/fractals/MultiFractals/Moments/TSMoments/TSMoments.html which is also expounded on this set of lecture slides (slide 32): http://multiscale.emsl.pnl.gov/docs/multifractal.pdf The idea is that you get a dataset, and examine it through many histograms with increasing numbers of bars i.e. resolution. Once resolution is high...

I have this multiplot: Generated by the following code: set terminal pdf size 15,10 set output "graph.pdf" set key off set multiplot layout 5, 1 scale 1, 1 set style data histograms set style histogram set style fill solid border -1 set boxwidth 0.75 set yrange [0:178] set ytics 50...

I am working with R and the package "ggplot2". I am trying to print several histograms next to each other: library(ggplot2) h=ggplot(data, aes(x=Return1)) h+ geom_histogram(binwidth = 0.1) h + facet_grid(Return1 + Return2) It sends an error "No layers in plot". Here an example of data: data=matrix(rnorm(50, 0, 1), ncol=5) colnames(data)=c("Return1",...

I have calculated 3 histograms for an rgb image using imhist function in Matlab, one for each channel. I want to plot these histograms on the same graph, where for instance, the histogram for the first (red) channel stretches on the x axis from 0 to 255, the histogram for...

I have the following function: miss.case = function(x){ y = apply(x, 1, is.na) y = apply(y, 2, sum) return(y) } miss.hist = function(df, percent=T) { m = miss.case(df) d = data.frame(number.of.NA = m) max.miss = max(m) min.miss = min(m) if (percent) { d$percent = (d$number.of.NA/sum(d$number.of.NA))*100 g = ggplot(data = d,...

I want to draw a histogram and a line plot at the same graph. However, to do that I need to have my histogram as a probability mass function, so I want to have on the y-axis a probability values. However, I don't know how to do that, because using...

I am quite new to elasticsearch, so apologies if this is a trivial question. I have a time series with irregular updates every n number of seconds that I want to plot historically. The data contains a long variable called 'score', and a long variable with the epoch called 'time'...

Does MatLab have any built in function to evaluate the density of a random variable from a custom histogram? (I suspect there are probably lots of ways to do this, I am just looking to see if there is already any builtin MatLab functionality). Thanks.

Let's say I have a list of text values (i.e., names), and I want to plot an histogram of those values, with the xticks labeled with those names. import matplotlib.pyplot as plt listofnames = ['Al', 'Ca', 'Re', 'Ma', 'Al', 'Ma', 'Ma', 'Re', 'Ca'] a,b,c = plt.hist(listofnames) First of all, this...

I have a table column that has integers, for example: 2 2 1 2 3 1 3 How do I get the values that occur in this column? In this case the results should be: 1 2 3 I know there's something is Postgre called width_bucket but I couldn't make...

having a couple issues plotting Histogram subplots in Matplotlib (this seems Histogram specific.. the same with bars and line graphs seem don't seem to have this issue): I can't get the x-axis tick labels to show up on my top 2 charts. In my code below, I haven't once specified...

The problem for me is how plot (using gnuplot) bars with different styles in a figure so that they can be print. Take data from http://www.ibm.com/developerworks/aix/library/au-gnuplot/ for example, the data is: #Disk.txt hdisk2 420 425 410 hdisk3 700 780 760 hdisk4 450 450 452 hdisk5 680 702 690 hdisk6 320...

I want to plot a histrogram showing the frequencies of various actions at different intervals. I want to bin the occurence of actions into 10 minute intervals. binwidth = 10*60 #10 minutes times = array([ 1.43431325e+09, 1.43431325e+09, 1.43431329e+09, 1.43431330e+09, 1.43431333e+09, 1.43431334e+09, 1.43431345e+09, 1.43431346e+09, 1.43431346e+09, 1.43431346e+09, 1.43431349e+09, 1.43431350e+09, 1.43431350e+09, 1.43431351e+09, 1.43431354e+09,...

I know this is pretty much a basic question, but I have some trouble in drawing histograms from a single vector containing these numbers (dat): 30.90 31.00 32.75 32.65 32.50 31.60 31.80 30.70 31.20 28.10 29.50 28.60 31.70 33.10 The qplot is straight forward: qplot(PorData, binwidth=1.0, geo="histogram", xlab="Data", ylab="Frequency") This...

A SearchParseException is thrown on my Kibana histogram, although the data seems to be captured correctly. I am using a custom timestamp field that I called logtimestamp. A log file line example would be: 2015-01-28 17:09:51,059 DEBUG [main] - processStatus = [MATCHED] And the related logtimestamp field being added to...

Hi I have a question that I am not sure how to implement in python. I have three different arrays. I have values in X and values in Y. Such that to each X a specific Y belongs (X,Y). Now, from it I built a histogram. U, V = histogram(X,...

I've binned some data and currently have a dataframe that consists of two columns, one that specifies a bin range and another that specifies the frequency like this:- > head(data) binRange Frequency 1 (0,0.025] 88 2 (0.025,0.05] 72 3 (0.05,0.075] 92 4 (0.075,0.1] 38 5 (0.1,0.125] 20 6 (0.125,0.15] 16...

freq = {1: 1000, 2: 980, 4: 560, ... 40: 3, 41: 1, 43: 1} (Between 1 to 43, not all numbers are keys) I want to make a histogram and plot it, such that I can see each key on the X axis, and the values on Y axis...

I am working with image processing in MATLAB. I have two different images whose histogram plots are as shown below. Image 1: and Image 2: I have multiple images like those and the only distinguishing(separating) features is that some have single peak and others have two peaks. In other words...

I plotted a histogram below that is the mean density of multiple vectors. The frequency distribution of each vector is shown by the grey lines overlaid on the histogram. Rather than plotting each of these lines, is there a way to plot the standard deviation above and below the mean...

This question already has an answer here: How to fit a gaussian to a histogram in R? [duplicate] 1 answer I have created a histogram by reading binary data in R from a file. I am trying to generate a normal Gaussian curve fit to the histogram values but...

I have to create a histogram in RStudio with the number of errors of three (3) Data groups. There are GroupA, GroupB and GroupC. Each one of them has 4 variables and one of them is the "errors" variable. So its like GroupA$errors etc.. How am I going to combine...

R version 3.1.1 (2014-07-10) Platform: i386-w64-mingw32/i386 (32-bit) I am working on a histogram with ggplot2. Since I have heavily tailed data, I would like to use axis "clip marks" at the end of the x-axis in ggplot like in the following example. (not the red 0.95 quantile but the small...

I have a class question that I cannot seem to understand the logic for. Modify the program below to print a histogram in which the total number of times the dice rolls equals each possible value is displayed by printing a character like * that number of times, as shown...

I have the following data meterpiuimportanti[row_sub,] Meter Numero Nodi [1,] 608 107 [2,] 51 89 [3,] 197 81 [4,] 52 81 [5,] 192 21 [6,] 110 14 [7,] 171 13 [8,] 114 12 [9,] 252 11 [10,] 121 10 [11,] 94 10 [12,] 295 9 [13,] 341 9 [14,] 113...

I want to plot an histogram where the y-axis represent the sum of a column. I found this example for categorical data: R histogram that sums rather than frequency. However, this is not what I am looking for, as it does not apply for continuous data, where I would have...

I have a pandas dataframe named firstperiod and a column named megaball. The range of the values in megaball are from 1 to 25, and this line of code: print firstperiod.megaball.value_counts().sort_index() gives me this, which is what I want to see (the # of occurrences per possible value) 1 12...

I have a histogram from measured data and I want to find an envelope (a continuous function) of this histogram. What do you suggest? How to do it in python? plot_histogram_of_real_data(file_name='/home/me/data.txt'): plt.figure('Histogram of real data') data = load_measured_data(file_name) n, bins, patches = plt.hist(data, 30, facecolor='green', alpha=0.75) plt.grid() plt.show() ...

I have an array with repetitions of numbers and I need to show them in an "histogram" made by "*". The histogram should looks like this: * * * * * * * * * * * * * * * * * * * * * * * *...

I'm new to Python (and am using Spyder) and am trying to create some histograms of when the top movies from IMDB were created. I have imported the matplotlib, numpy and pandas, as well as the .txt file, but when I run the following lines of code: plt.hist(data.year, bins=np.arange(1950, 2013),...

I have a list of strings: a = ['a', 'a', 'a', 'a', 'b', 'b', 'c', 'c', 'c', 'd', 'e', 'e', 'e', 'e', 'e'] I want to make a histogram for displaying the frequency distribution of the letters. I can make a list that contains the count of each letter using...

In R it is possible to plot the histogram and save it's properties to variable: > h1=hist(c(1,1,2,3,4,5,5), breaks=0.5:5.5) Those properties can be then read: > h1 $breaks [1] 0.5 1.5 2.5 3.5 4.5 5.5 $counts [1] 2 1 1 1 2 $density [1] 0.2857143 0.1428571 0.1428571 0.1428571 0.2857143 $mids [1]...

I would like to make a histogram where the fill color changes depending on the low end of the bin. I do not want a manual fill. This answer seems promising, but I could not transition it successfully to a histogram and two-value (not gradient) color scheme. I believe the...

I am plotting a histogram rowstacked very similar to this graph (the last one on this page) : What I would like to do is to have different colors for each year bin. This colors would repeat from a newhistogram to another. I have not yet found a way to...

I'm looking to plot two side-by-side stacked histograms (similar to the example image below) in matplotlib. I've tried several variations on bins = np.arange(10) a1,b1,c1 =plt.hist([arr1,arr2,arr3],bins,stacked=True) a2,b2,c2 =plt.hist([arr4,arr5,arr6],bins,stacked=True) But can't seem to avoid getting the second plot to directly overlay the first. Any ideas on how this could be resolved?...

I am trying to print multiple histograms in the same window in R. I am using R Studio. I can only use the built in graphics package. I have been unable to find a solution to my problem on here already. I am trying to create histograms of the iris...

I have a data frame in R called x that has hundreds of rows. Each row is a person. I have two variables, Height, which is continuous, and Country, which is a factor. I want to plot a smoothed histogram of all of the heights of the individuals. I want...

Currently have 3 sets of data in a single histogram, but I need to plot a single curve for each set of data. Currently plotting histograms through a function: def plot_histogram(xmin,xmax,title,xlabel,data,data1,data2): plt.xlim(xmin, xmax) plt.title(title) plt.xlabel(xlabel) plt.ylabel('Relative Frequency') bins=np.histogram(np.hstack((data,data1,data2)), bins=11)[1] plt.hist([data, data1, data2], bins, normed=1, alpha=0.5, color=['b', 'g', 'r'], label=['t', 'g-',...

I am trying to make a function that will take a character and a histogram and add an instance of that character to the histogram. My code so far is like this: def add_to_hist(character, histogram): """Takes a character and a histogram and adds an occurrence of that character to the...

I have a histogram I plotted in matlab and I want to work with only a section of that histogram. I have found how to change the x-axis overall, but that just plots the entire histogram over this new axis instead of just pulling the subset of the histogram. Is...

I have two arrays of data: one is a radius values and the other is a corresponding intensity reading at that intensity: e.g. a small section of the data. First column is radius and the second is the intensities. 29.77036614 0.04464427 29.70281027 0.07771409 29.63523525 0.09424901 29.3639355 1.322793 29.29596385 2.321502 29.22783249...

I'd like to draw a time series as a bar chart (I suppose it's also called column chart) preserving the scale of the time line. Example: Could you recommend a javascript library providing the code with how to visualize it? I'm well aware of this answer and tried some of...

OT = [124 124 124 125 125 125 126 249 249 250 250 250 312 312 312 438] MYBINS = min (OT) : max(OT); hist (OT,MYBINS); I want to plot the histogram of OT and I set my bins from min(OT) to max (OT). since the element are far from...

I am developping on Qt creator, with opencv. I have to developp a program that does the histogram equalization of an image. My images are 16bits grayscale images so I cannot use the opencv function "equalizeHist" because it only works with 8bit grayscale images. The code I wrote to do...

i using bionrnd() function to generate a random vector and Laplace approximation formula to approximate the binomial distribution. but Laplace histogram dose not like the binomial distribution histogram. where is my mistake in coding? help me please and here is my code : clear clc close all n =...

I have solved my problem. I was making a small error that I did not see as I am still new to R. Thank you for the help! I am having a lot of trouble trying to make a histogram from the wine data set available from UCI Machine Learning...

How do I get a histogram-like summary of interval data in R? My MWE data has four intervals. interval range Int1 2-7 Int2 10-14 Int3 12-18 Int4 25-28 I want a histogram-like function which counts how the intervals Int1-Int4 span a range split across fixed-size bins. The function output should...

I have (5) pandas series i'm trying to plot on (5) graphs. i want to have them so that they look like this format with the 5th chart on the last row by itself, centered (don't focus on the contents of the charts, just the positioning) But in pandas 0.16.1,...

How would I be able to plot a Gaussian on top of the histogram my code generates? Here is my code below. It works perfectly and generates a histogram but I'm struggling with adding a Gaussian curve as I've only just started using pyplot. I'm also struggling with the maths...

I have a problem where i receive a lot of histograms from some database images. Those histograms are represented as vectors(0...256), and i have to identify and work with the bimodal histograms. Well, is there a formula to automatically identify wich histograms are bimodal and wich arent? Since they are...

Imagine the following very simple dataset: Variable A B B C D D D E F F F What I'm trying to get is a histogram of the frequencies of how often those values appear. If you just run hist() on that data, you'll get the count per value, but...

This is my goal: Plot the frequency of y according to x in the z axis. These are my problems: I have a two columns array (x and y) and need to divide x into classes (p.ex. 0.2 ou 0.5) and calculate the frequency of y for each class of...

I am confused by the [m,n]=hist(y,x) such as M = [1, 2, 3; 4, 5, 6; 1, 2, 3]; [m,n] = hist(M,1:3) Which results in m = 2 0 0 0 2 0 1 1 3 Can someone please explain how m is calculated?...

I want to plot multiple histograms on the same plot and I need to compare the spread of the data. I want to do this by dividing each histogram by its maximum value so all the distributions have the same scale. However, the way matplotlib's histogram function works, I have...

Given some matrix, I want to divide it into blocks of size 2-by-2 and show a histogram for each of the blocks. The following is the code I wrote to solve the problem, but the sum of the histograms I'm generating is not the same as the histogram of the...