frequency

I have data as a list of floats and I want to plot it as a histogram. Hist() function does the job perfectly for plotting the absolute histogram. However, I cannot figure out how to represent it in a relative frequency format - I would like to have it as a fraction or ideally as a percentage on the y-axis. Here is the code: fig = plt.figure() ax = fig.add_subplot(111) n, bins, patches = ax.hist(mydata, bins=100, normed=1, cumulative=0) ax.set_xlabel('Bins', size=20) ax.set_ylabel('Frequency', size=20) ax.legend plt.show() I thought normed=1 argument would do it, but it gives fractions that are

I have a list [[12, 6], [12, 0], [0, 6], [12, 0], [12, 0], [6, 0], [12, 6], [0, 6], [12, 0], [0, 6], [0, 6], [12, 0], [0, 6], [6, 0], [6, 0], [12, 0], [6, 0], [12, 0], [12, 0], [0, 6], [0, 6], [12, 6], [6, 0], [6, 0], [12, 6], [12, 0], [12, 0], [0, 6], [6, 0], [12, 6], [12, 6], [12, 6], [12, 0], [12, 0], [12, 0], [12, 0], [12, 6], [12, 0], [12, 0], [12, 6], [0, 6], [0, 6], [6, 0], [12, 6], [12, 6], [12, 6], [12, 6], [12, 6], [12, 0], [0, 6], [6, 0], [12, 0], [0, 6], [12, 6], [12, 6], [0, 6], [12, 0], [6, 0], [6, 0], [12, 6], [12, 0], [0, 6], [12, 0], [12, 0], [12, 0], [6, 0], [12, 6], [12, 6],

I have a mosquito problem in my house. This wouldn't usually concern a programmers' community; However, I've seen some devices that claim to deter these nasty creatures by playing a 17Khz tone. I would like to do this using my laptop. One method would be creating an MP3 with a a single, fixed-frequency tone ( This can easily done by audacity ), opening it with a python library and playing it repeatedly. The second would be playing a sound using the computer built-in speaker. I'm looking for something similar to QBasic Sound : SOUND 17000, 100 Is there a python library for that? jfs PyAudiere

I know how to draw histograms or other frequency/percentage related tables. But now I want to know, how can I get those frequency values in a table to use after the fact. I have a massive dataset, now I draw a histogram with a set binwidth. I want to extract the frequency value (i.e. value on y-axis) that corresponds to each binwidth and save it somewhere. Can someone please help me with this? Thank you! The hist function has a return value (an object of class histogram ): R> res <- hist(rnorm(100)) R> res $breaks [1] -4 -3 -2 -1 0 1 2 3 4 $counts [1] 1 2 17 27 34 16 2 1 $intensities [1] 0.01

I'm new with R. I need to generate a simple Frequency Table (as in books) with cumulative frequency and relative frequency. So I want to generate from some simple data like > x [1] 17 17 17 17 17 17 17 17 16 16 16 16 16 18 18 18 10 12 17 17 17 17 17 17 17 17 16 16 16 16 16 18 18 18 10 [36] 12 15 19 20 22 20 19 19 19 a table like: frequency cumulative relative (9.99,11.7] 2 2 0.04545455 (11.7,13.4] 2 4 0.04545455 (13.4,15.1] 1 5 0.02272727 (15.1,16.9] 10 15 0.22727273 (16.9,18.6] 22 37 0.50000000 (18.6,20.3] 6 43 0.13636364 (20.3,22] 1 44 0.02272727 I know it should be simple, but I don't know

I am new to Pandas, and am trying to use date_range . I came across all kinds of good things for freq , like BME and BMS and I would like to be able to quickly look up the proper strings to get what I want. Yesterday I found a nicely formatted table somewhere in the documentation, but the title of the table was so obtuse that I can not use search to find it again today. jezrael You can find it called Offset Aliases : A number of string aliases are given to useful common time series frequencies. We will refer to these aliases as offset aliases (referred to as time rules prior to v0.8.0). Alias

I can get the levels and frequencies of a categorical variable using table() function. But I need to feed the most frequent level into calculations later. How can I do that? for example, I want to get "191" from categorical variable a. > table(a) a 19 71 98 139 146 185 191 305 75 179 744 1 1980 6760 a <- sample(x = c(19, 71, 98, 139, 146, 185, 191), size = 1000, replace = TRUE) tt <- table(a) names(tt[which.max(tt)]) ll<-data.frame(table(a)) ll[which.max(ll$Freq),] Example from mtcars data: ll<-data.frame(table(mtcars$cyl)) ll Var1 Freq 1 4 11 2 6 7 3 8 14 ll[which.max(ll$Freq),] Var1 Freq 3 8

Can somebody help me to run this program using c#. This program is to calculate the frequency of the number, for example 12 appear 10x. Before this I try to sort all list number in a horizontal line. Then I compare the same number, then count++, but until know I can’t get the output. Thanks for helping. INPUT 46 31 46 9 25 12 45 33 25 12 12 12 28 36 38 28 25 12 12 9 36 38 36 36 12 9 36 12 12 25 28 34 36 36 9 12 16 25 28 44 OUTPUT 9 – 4 12 -10 16 – 1 25 – 5 28 - 4 31 – 1 33 – 1 34 - 1 36 – 7 38 – 2 44 – 1 45 – 1 46 – 2 Well, you could do this manually using a Dictionary<int, int> : var

Is there a way in php to count how often a value exists in a large array? So if I have an array like this: $array = "1,2,3,4,joe,1,2,3,joe,joe,4,5,1,6,7,8,9,joe"; is there a way to output a new array that tells me (and sorts) which is used most and how many for each? $result = array( [joe] => 4 [1] => 3 [2] =>2 etc... ) I've seen the php array_count_values, but can this be sorted by most -> least? or is there an easier way? Thanks everyone! Michael Berkowski Sort them after counting them with arsort() $result = array_count_values(explode(',', $array)); arsort($result); Array ( [joe] => 4 [1] =

I have a problem with subset()function. How can I subset a factor of my dataframe by its number of observation? NAME CLASS COLOR VALUE antonio B YELLOW 5 antonio B BLUE 8 antonio B BLUE 7 antonio B BLUE 12 luca C YELLOW 99 luca B YELLOW 87 luca B YELLOW 98 giovanni A BLUE 48 I would like to obtain data where the three factors "NAME","CLASS" and "COLOR" compare at least three times in order to make a mean of VALUE. in this case I'll obtain: NAME CLASS COLOR VALUE antonio B BLUE mean because antonio is the only with three observations for each factor thank you so much Nik You can use the table