plot

问题 I am trying to create Error bar in QT using Box and Whiskers. I get the following plot: But desired is something like this Code for box i used is: QBoxSet *box = new QBoxSet(0); box->setValue(QBoxSet::LowerExtreme, min); box->setValue(QBoxSet::UpperExtreme, max); box->setValue(QBoxSet::LowerQuartile,fres); The QBoxSet::LowerExtreme is behind the box, how I can move it on top of the box? or is there any other method to do this? 来源： https://stackoverflow.com/questions/46276086/error-bar-in-qt

问题 I plot a simple network using visNetwork but when I try to save it as png I get an empty image as a result. png("ex.png") require(visNetwork, quietly = TRUE) # minimal example nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges, width = "100%") dev.off() 回答1: You can save the network as html and then capture the content of that file: nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) library(visNetwork) plot<-

问题 I plot a simple network using visNetwork but when I try to save it as png I get an empty image as a result. png("ex.png") require(visNetwork, quietly = TRUE) # minimal example nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) visNetwork(nodes, edges, width = "100%") dev.off() 回答1: You can save the network as html and then capture the content of that file: nodes <- data.frame(id = 1:3) edges <- data.frame(from = c(1,2), to = c(1,3)) library(visNetwork) plot<-

问题 I am trying to find a point where a big change happens on a slope. Tried to use ecp::e.divisive() function with different settings and couldn't make it identify the change the way I need. Below code and plot should illustrate more. Grey lines are cutoffs coming from ecp package, and I am trying to it to plot blue line (which is at the moment plotted manually). Please advise if there are better packages for this task. library("ecp") #get cutoff points ecpOutput <- e.divisive(x, k=1) ecpOutput

问题 I am trying to find a point where a big change happens on a slope. Tried to use ecp::e.divisive() function with different settings and couldn't make it identify the change the way I need. Below code and plot should illustrate more. Grey lines are cutoffs coming from ecp package, and I am trying to it to plot blue line (which is at the moment plotted manually). Please advise if there are better packages for this task. library("ecp") #get cutoff points ecpOutput <- e.divisive(x, k=1) ecpOutput

问题 I create a plot with the following dataset and I would like to add a label only for points flagged with a T in the "DisplayName" column. Probe Name DisplayName X Y bob1 A 0 53.989643 7935.185 bob2 B T 55.11423 7930.626 bob3 C 0 49.537724 6901.7715 bob4 D 0 57.280113 6687.0156 bob5 E T 7.5517325 840.3756 bob6 F 0 62.68943 6666.6665 bob7 G T 32.553364 3036.508 bob8 H 0 34.120102 2553.5354 bob9 I 0 127.54777 7818.89 My idea would be to use text() and which() to add the value of "Name" but I am

问题 I create a plot with the following dataset and I would like to add a label only for points flagged with a T in the "DisplayName" column. Probe Name DisplayName X Y bob1 A 0 53.989643 7935.185 bob2 B T 55.11423 7930.626 bob3 C 0 49.537724 6901.7715 bob4 D 0 57.280113 6687.0156 bob5 E T 7.5517325 840.3756 bob6 F 0 62.68943 6666.6665 bob7 G T 32.553364 3036.508 bob8 H 0 34.120102 2553.5354 bob9 I 0 127.54777 7818.89 My idea would be to use text() and which() to add the value of "Name" but I am

问题 I create a plot with the following dataset and I would like to add a label only for points flagged with a T in the "DisplayName" column. Probe Name DisplayName X Y bob1 A 0 53.989643 7935.185 bob2 B T 55.11423 7930.626 bob3 C 0 49.537724 6901.7715 bob4 D 0 57.280113 6687.0156 bob5 E T 7.5517325 840.3756 bob6 F 0 62.68943 6666.6665 bob7 G T 32.553364 3036.508 bob8 H 0 34.120102 2553.5354 bob9 I 0 127.54777 7818.89 My idea would be to use text() and which() to add the value of "Name" but I am

问题 I create a plot with the following dataset and I would like to add a label only for points flagged with a T in the "DisplayName" column. Probe Name DisplayName X Y bob1 A 0 53.989643 7935.185 bob2 B T 55.11423 7930.626 bob3 C 0 49.537724 6901.7715 bob4 D 0 57.280113 6687.0156 bob5 E T 7.5517325 840.3756 bob6 F 0 62.68943 6666.6665 bob7 G T 32.553364 3036.508 bob8 H 0 34.120102 2553.5354 bob9 I 0 127.54777 7818.89 My idea would be to use text() and which() to add the value of "Name" but I am

问题 I am generating a plot using matplot lib to plot many points (~a few thousand) by doing the following: labels = [] for item in items: label = item[0] labels.append(label) plt.plot(item[1][0], item[1][1], 'ro', c = colors[item], label = str(label)) And then generating a legend by doing: plt.legend([str(x) for x in np.unique(labels)]) However, for each label in the legend the corresponding color is the same (not the color in the plot). Is there any way to manually set the color for the legend.