histogram ggplot2

PHP uses the Jpgraph class to generate a table report histogram problem? Using PHP to generate a vertical histogram, due to the project needs, need to generate a horizontal histogram, using the picture rotation function rotated 90 degrees, the X, Y axis title is incorrect, what function can I ask Jpgraph class to set the X, Y axis title position??? php?? PHP

DataFrame.hist(Data,Column=none,By=none,grid=true,Xlabelsize=none,Xrot=none,Ylabelsize=none,Yrot=none,Ax=none,Sharex=false,Sharey=false,Figsize=none,Layout=none,bins=10,**kwds)Data : DataFramecolumn : string or sequence strings or sequences by: object, optional If passed, then used to form histograms (histogram) for separate groups Grid : Boolean, default True grid line, defaults to use xlabelsize : int, de

> Par (MFROW=C (2, 2)) > > hist (Mtcars$mpg) > > hist (Mtcars$mpg, breaks=12, col= "Red", xlab= "miles per gallon" , + main= "colored histogram with bins") > > hist (Mtcars$mpg, Freq=false, breaks=12, col= "Red", xlab= "miles per Gallon ", + main=" histogram, rug plot, Density curve ") > Rug (jitter (mtcars$mpg)) > Lines (Density (mtcars$mpg), Col= "Blue", lwd=2) > > x R language Combat-Basic gra

def get_cdf (numlist):p rint "Total number of numlist%d"%len (numlist) Numarray = Np.asarray (numlist) dx =. 01bins_array = NP. Arange ( -0.5,1.5,DX) hist, bin_edges = Np.histogram (Numarray, Bins=bins_array, normed=false) CDF = Np.cumsum (hist) CDF = Cdf/float (Hist.sum ()) Bins_list = Bins_array[1:]return (bins_list, CDF)Toss for a long time, before writing a painting histogram map code, but found that if you want to draw two list words, there will

An official example, doing a histogram, using the path patch method. Seemingly deal with the larger data used, followed by another method of comparison, suspenseImportNumPy as NPImportMatplotlib.pyplot as PltImportmatplotlib.patches as PatchesImportMatplotlib.path as pathfig, Ax=plt.subplots ()#fixing random State for reproducibilityNp.random.seed (19680801)#histogram our data with NumPyData= NP.RANDOM.RAND

Histogram equalization is to adjust the distribution of gray histogram, the gray value in the original image is mapped to a new value. The visual representation of the mapping results is that the distribution of the gray scale is uniform, from 0 to 255, and not as concentrated as the original image. The image shows that the contrast becomes larger, brighter and darker.The mapping algorithm calculates the cu

Lightroom How to adjust the raw format photo histogram 1, first we open Lightroom software. Lightroom 2, select the photos to be modified into the modified photo interface. Lightroom 3, in the upper-right corner of the interface has a histogram, click the bottom pull triangle open. 4, click on the left side of the histogram