histogram

问题 I want to plot 6 histograms by using ggplot. Each histogram correspond to one product (e.g. Modis 2000, Modis 2005, etc.). In x axis will be the Land use (Agriculture, built-up, etc.) and in y axis would the percentage error inlcuding both comission error (_CE) and omission error (_OE). The bars of these two errors should be adjacent for each land use (see plot attached. structure(list(X = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("Forest_CE", "Forest_OE"), class

问题 I want to plot 6 histograms by using ggplot. Each histogram correspond to one product (e.g. Modis 2000, Modis 2005, etc.). In x axis will be the Land use (Agriculture, built-up, etc.) and in y axis would the percentage error inlcuding both comission error (_CE) and omission error (_OE). The bars of these two errors should be adjacent for each land use (see plot attached. structure(list(X = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("Forest_CE", "Forest_OE"), class

问题 I am trying to plot a histogram distribution of one column with respect to another. For example, if the dataframe columns are ['count','age'], then I want to plot the total counts in each age group. Suppose in age: 0-10 -> total count was 20 age: 10-20 -> total count was 10 age: 20-30 -> ... etc I tried groupby('age') and than plotting histogram but it didn't work. Thanks. Update Here is some of my data df.head() age count 0 65 2417.86 1 65 4173.50 2 65 3549.16 3 65 509.07 4 65 0.00 Also, df

问题 I have a list of dates that span several (hundred) years. I'd like to make a histogram that has 366 buckets, one for each day of the year, with the x-axis labelled in a legible way that allows me to see which date is which (I'm expecting a dip for February 29, for example). I've made the following histogram, but easy-to-read X-axis date labels would be awesome. The following code seems cumbersome but gets me what I want (without the X-axis labels): from datetime import date, datetime,

问题 While there are several SO posts on how to use percents scaled within each facet of a bar chart, I don't see any that show how to do that in a histogram. Is it possible to so do? Here are two posts I researched: SO post 1: Obtaining Percent Scales Reflective of Individual Facets with ggplot2 Last answer on this post indicates solution no longer working on newer versions of ggplot2 and suggests use of stat_count() but does not give example. SO post2: percentage on y lab in a faceted ggplot

问题 While there are several SO posts on how to use percents scaled within each facet of a bar chart, I don't see any that show how to do that in a histogram. Is it possible to so do? Here are two posts I researched: SO post 1: Obtaining Percent Scales Reflective of Individual Facets with ggplot2 Last answer on this post indicates solution no longer working on newer versions of ggplot2 and suggests use of stat_count() but does not give example. SO post2: percentage on y lab in a faceted ggplot

问题 I am trying to plot a cumulative histogram using Plotly in python, but make it look like "steps", i.e. bars with no color and only the top line is displayed. Something like this: Basically, I'm trying to reproduce the behavior of the following matplotlib code: import matplotlib.pyplot as plt plt.hist(x, cumulative=True, histtype='step') So far, the best I've been able to do is: import plotly.graph_objs as go from plotly.offline import iplot h = go.Histogram(x=x, cumulative=dict(enabled=True),

问题 I am trying to plot a cumulative histogram using Plotly in python, but make it look like "steps", i.e. bars with no color and only the top line is displayed. Something like this: Basically, I'm trying to reproduce the behavior of the following matplotlib code: import matplotlib.pyplot as plt plt.hist(x, cumulative=True, histtype='step') So far, the best I've been able to do is: import plotly.graph_objs as go from plotly.offline import iplot h = go.Histogram(x=x, cumulative=dict(enabled=True),

问题 Searching Google for Histogram Equalization Python or Contrast Stretching Python I am directed to the same links from python documentation in OpenCv which are actually both related to equalization and not stretching (IMO). http://docs.opencv.org/2.4/doc/tutorials/imgproc/histograms/histogram_equalization/histogram_equalization.html http://docs.opencv.org/3.2.0/d5/daf/tutorial_py_histogram_equalization.html Read the documentation, it seems to be a confusion with the wording, as it describes

问题 I'm trying to do histogram equalization using MPSImageHistogramEqualization on iOS but it ends up throwin an assertion I do not understand. Here is my code: // Calculate Histogram var histogramInfo = MPSImageHistogramInfo( numberOfHistogramEntries: 256, histogramForAlpha: false, minPixelValue: vector_float4(0,0,0,0), maxPixelValue: vector_float4(1,1,1,1)) let calculation = MPSImageHistogram(device: self.mtlDevice, histogramInfo: &histogramInfo) let bufferLength = calculation.histogramSize