histogram

问题 I'm trying to create a histogram with two data sets overlying each other, however whenever I plot it using pandas.DataFrame.hist(), it creates two graphs: The code is simply: ratios.hist(bins = 100) plt.show() where ratios is just a DataFrame, 2 columns by about 7000 rows. Any idea on how to put the two graphs on the same axis? 回答1: Try plot.hist instead: ratios = pd.DataFrame(np.random.normal((1, 2), size=(100, 2))) ratios.hist(bins=10) This generates: ratios.plot.hist(alpha=0.5, bins=10)

问题 I am trying to make a profile plot for two columns of a pandas.DataFrame. I would not expect this to be in pandas directly but it seems there is nothing in matplotlib either. I have searched around and cannot find it in any package other than rootpy. Before I take the time to write this myself I thought I would ask if there was a small package that contained profile histograms, perhaps where they are known by a different name. If you don't know what I mean by "profile histogram" have a look

问题 i was assigned to make some changes to a C program written by someone else...i want to understand it first to work on it properly...i came upon a function that generates the histogram of ASCII values from a given long string of data. it is something like this. //load the symbols the old data for(int k = 0;k < 256;++k) { sym[k].Symbol = k; sym[k].Count = 0; } //Creating the probability distribution for each of the source symbols. for(int k = size;k;--k) { sym[*in ++].Count ++; } here 'in' is

问题 i was assigned to make some changes to a C program written by someone else...i want to understand it first to work on it properly...i came upon a function that generates the histogram of ASCII values from a given long string of data. it is something like this. //load the symbols the old data for(int k = 0;k < 256;++k) { sym[k].Symbol = k; sym[k].Count = 0; } //Creating the probability distribution for each of the source symbols. for(int k = size;k;--k) { sym[*in ++].Count ++; } here 'in' is

问题 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? 回答1: Use histc instead of hist . histc allows you to define the edges while hist uses the second input parameter as centers. 来源： https://stackoverflow.com/questions/29016872/matlab-bins-setting-in-histogram

问题 I want to display my results in the form of a histogram in Zeppelin. I came across plotly. My code is in scala and I would like to know the steps to incorporate plotly into zeppelin using scala. Or is there any better way(libraries) that can be used to draw a histogram in Zeppelin(Scala)? 回答1: If you have a dataframe called plotTemp with columns "id","degree" then you can do the following: In a scala window register the dataframe as a temporary table plotTemp.registerTempTable("plotTemp")

问题 I want to add a legend to one of my plots, but I have different aesthetics and I never created a legend so I find it very difficult to determine how to build it. One of my aesthetics is a fill code, which I added manually as a vector. The other aesthetic is a vertical line that I added with geom_vline. From the graph below, there are three characteristics that I want to add to the legend: 1) The bars with color dark blue, 2) The bars with color light blue and 3) The vertical line. Does anyone

问题 I want to add a legend to one of my plots, but I have different aesthetics and I never created a legend so I find it very difficult to determine how to build it. One of my aesthetics is a fill code, which I added manually as a vector. The other aesthetic is a vertical line that I added with geom_vline. From the graph below, there are three characteristics that I want to add to the legend: 1) The bars with color dark blue, 2) The bars with color light blue and 3) The vertical line. Does anyone

问题 In this answer about detecting the color of an image olooney said that "loop over the histogram and take the average of pixel color weighed by the pixel count". I ran the histogram like this: class ImageResize(webapp.RequestHandler): def get(self): q = HomePage.all() q.filter("firm_name", "noise") qTable = q.get() id = qTable.key().id() if id: homepage = HomePage.get_by_id(id) if homepage: img = images.Image(homepage.thumbnail) hist = img.histogram() then in IDLE, for each color of the

问题 I have been having difficulty trying to generate a histogram for a 640x480 grayscale image I am working with. I am using Python 2.7.3, OpenCV 2.4.6 (Python bindings) and Numpy The image below was generated from the same image, using an executable software tool (programmed in C++) The properties for this histogram were: bins = 50 hist_width = 250 normalised_height_max = 50 The image specs are therefore 250x50 I have consulted this documentation: Histogram Calculation in OpenCV http://docs