heatmap

问题 So I have a heatmap created using seaborn revels = rd.pivot("Flavour", "Packet number", "Contents") ax = sns.heatmap(revels, annot=True, fmt="d", linewidths=0.4, cmap="YlOrRd") plt.show() which produces There are two things which I want to do however, which I can't for the life of me work out how to do, despite consulting seaborn's helpfile (http://seaborn.pydata.org/generated/seaborn.heatmap.html) The thing I want to do is order the flavours differently. Despite the order being inputted in

问题 I received an error in heatmap.2, and I found similar error here R : knnImputation Giving Error but it doesn't have an answer yet. I couldn't understand the problem. I am new to this world, sorry in advance if there is any mistake. I have a dataframe df with 144 rows,177 columns which shows the monthly averages of years between 2005-2016 by timeAverage function openair package . Here the small example from df : date Year Month Adana-Catalan Adana-Dogankent Adana-Meteoroloji 2008/09/01 2008 9

问题 I am trying to plot a heatmap using seaborn. So, I have values from 0 to 5 and I need to make a blue-to-red color scale, with white being at 1, blue- below 1, and red - from 1 to 5. How can I do that? import seaborn as sns; sns.set() hm=sns.heatmap(proportion, vmin=0, vmax=5, cmap='RdBu') This is what I try to do, but it is not customized... 'proportion' is my variable. Is there anything I can do? 回答1: Maybe you mean to use the center argument, import matplotlib.pyplot as plt import seaborn

问题 I am currently facing the problem of visualizing three dimensional data. Concretely, I have two parameters that are varying and the third dimension is the resulting output which in this case is a value between zero and one (percentage). I have several distinct datasets that I want to illustrate. It is working well with using heatmaps in matplotlib (pcolor). However, I want to directly compare the distinct datasets with each other. I am not quite happy with producing a seperate plot for each

问题 I'm working on mapping a temperature gradient in two dimensions and having a lot of trouble. My current approach is to define an Interpolating Function and then try to graph it a lot of times, then animate that table of graphs. Here's what I have so far: RT = 388.726919 R = 1 FUNC == NDSolve[{D[T[x, y, t], t] == RT*(D[T[x, y, t], x, x] + D[T[x, y, t], y, y]), T[x, y, 0] == 0, T[0, y, t] == R*t, T[9, y, t] == R*t, T[x, 0, t] == R*t, T[x, 9, t] == R*t}, T, {x, 0, 9}, {y, 0, 9}, {t, 0, 6}] So

问题 Reproducible Data: data(crabs, package = "MASS") df <- crabs[-(1:3)] set.seed(12345) df$GRP <- kmeans(df, 4)$cluster df.order <- dplyr::arrange(df, GRP) Data Description: df has 5 numerical variables. I did the K-means algorithm according to these 5 attributes and produced a new categorical variable GRP which has 4 levels. Next, I ordered it with GRP and named it df.order . What I did with pheatmap : ## 5 numerical variables for coloring colormat <- df.order[c("FL", "RW", "CL", "CW", "BD")] #

问题 I'm trying to plot a heat map in Gnuplot: set view map set size square set cbrange [0:1] splot "input.dat" 1:4:8 w pm3d But I want to skip the rows with the data in the first & fourth column in a particular range without changing xrange and yrange . How can I do that? 回答1: If you want to skip x values between xmin and xmax , and y values between ymin and ymax you can do a conditional plot: splot "input.dat" u 1:4:( $1 >= xmin && $1 <= xmax && \ $4 >= ymin && $4 <= ymax ? 1/0 : $8 ) w pm3d The

问题 I currently have two large data sets, and I want to compare them. I have them separately, one in red and one in blue, however I would like to show the red and blue side by side. How might I go about this? My current code is: column_labels = list(heatmap_ylabels) row_labels = list(heatmap_xlabels) fig, ax = plt.subplots() heatmap = ax.pcolor(data, cmap=plt.cm.Reds) ax.set_xticks(np.arange(9+0.5)) ax.set_yticks(np.arange(140+0.5)) ax.invert_yaxis() ax.xaxis.tick_top() ax.set_xticklabels(row

问题 Hi so I have the following commands. To specify a subplot axes in the grid for the heatmap: ax4 = plt.subplot2grid((3, 4), (1, 3), colspan=1, rowspan=1) To create my heatmap in this axes: heatmap = ax4.pcolor(data, cmap=mycm, edgecolors = 'none', picker=True) To move the plot to the right in order to center it in the axes according to other subplots: box = ax4.get_position() ax4.set_position([box.x0*1.05, box.y0, box.width * 1.05, box.height]) To show the colorbar with no padding fig.colorbar

问题 I want to generate dynamic heatmap just as below on either canvas or imageview. I looked into google map heat map API, but I can't get the expected output. 回答1: I think you should go with that github.com/HeartlandSoftware/AndroidHeatMap 来源： https://stackoverflow.com/questions/47072425/android-heatmap-on-canvas-or-imageview