visualization

问题 The data for the ggplots: set.seed(0) library(ggplot2) library(gridExtra) c <- list() for (k in 1:9) c[[k]] <- ggplot(data.frame(x=1:10,y=rnorm(10)),aes(x=x,y=y))+geom_line() grid.arrange (c[[1]],c[[2]],c[[3]],c[[4]],c[[5]] ,c[[6]],c[[7]],c[[8]],c[[9]],ncol=3, nrow=3, widths = c(4,4,4) ,heights = c(4,4,4)) I want titles for each row and each column. The shape of the output would be something like this: CTitle 1 CTitle 2 CTitle 3 RTitle1 plot1 plot2 plot3 RTitle2 plot4 plot5 plot6 RTitle3

问题 Using seaborn's documentation code to generate a lineplot returns an AttributeError: 'module' object has no attribute 'lineplot'. I have updated seaborn and reimported the module and tried again, no luck. Did lineplot get retired, or is there something else going on? import seaborn as sns; sns.set() import matplotlib.pyplot as plt fmri = sns.load_dataset("fmri") ax = sns.lineplot(x="timepoint", y="signal", data=fmri) 回答1: If you are using conda, you need to install seaborn with the version

问题 Using seaborn's documentation code to generate a lineplot returns an AttributeError: 'module' object has no attribute 'lineplot'. I have updated seaborn and reimported the module and tried again, no luck. Did lineplot get retired, or is there something else going on? import seaborn as sns; sns.set() import matplotlib.pyplot as plt fmri = sns.load_dataset("fmri") ax = sns.lineplot(x="timepoint", y="signal", data=fmri) 回答1: If you are using conda, you need to install seaborn with the version

问题 Has anyone tried using date as a slider for Altair interactive scatter plots? I'm trying to reproduce a similar plot to the gapminder scatter: 1) Instead of a year filter I'm trying to use a date e.g. '2020-01-05' and having the follow error: altair.vegalite.v4.schema.core.BindRange->max, validating 'type' '2020-05-17T00:00:00' is not of type 'number' 2) When I try to parse it as an int, nothing shows up in the plot 3) Examples of using the Year slider: https://www.datacamp.com/community

问题 Is it possible to watch BufferedImage objects while debugging in IntelliJ? I mean to view visual content of an image, not memory identity. Is it also possible to view custom objects visually, i.e. write some custom visualizers? 回答1: IntelliJ IDEA 2016.1.1 is able to display BufferedImage object as image while debugging by default (probabily previous versions also support this feature). Set up a breakpoint where you can access the BufferedImage object By default, for BufferedImage class Idea

问题 I am looking for a way to draw a few (O(1)) 3D arrows with python, which are "proper 3D", by which I mean something along the lines of what Mathematica yields, i.e. rod of the arrow looks like a tube. I did not find anything in the matplotlib documentation, but surely there must be a way? 回答1: You may create a solid of revolution from some path defined in 2D to create a 3D arrow. The following code wraps this into a function, which allows to specify some of the arrow parameters. This allows

问题 I'm trying to find the right approach to graphing a dataset that contains information on amount of time users typically spend in various locations. Importantly, there are categories and subcategories with increasing levels of granularity to my data (for example, 60% of people are at "home", and of those 40% are in the "living room"). I am aware of TreeMaps which would display the information and relationships I need, but I have been asked to make a "network" visualization of the data. What I

问题 I am quite new to web programming, so please bear with me if I am missing something obvious. I am using html, css and javascript to visualize different DNA sequences. Each sequence is represented as a graph of html elements and has a fixed length corresponding to the length of the DNA sequence. Spans are positioned at fixed points in each graph to represent certain motifs. The code for one such graph looks like this (using django as my web framework): <div class="graph" style='--graph-length:

问题 I have a column in my pandas DataFrames with positive and negative values, I need to make an area graph with different colours for positive and negative y axis. So far, I am not able to do that with alt.condition brush = alt.selection(type='interval', encodings=['x']) upper = alt.Chart(yData['plotY'].fillna(0).reset_index()[24000:26000], title = '_name').mark_area().encode(x = alt.X('{0}:T'.format(yData['plotY'].index.name), scale = alt.Scale(domain=brush)), y = 'plotY', # color=alt.condition

问题 I practice writing some code to get top repositories of Python from GitHub and this is the error I see: this is the code which causes above stated error: import requests import pygal from pygal.style import LightColorizedStyle as LCS, LightenStyle as LS path = 'https://api.github.com/search/repositories?q=language:python&sort=stars' r = requests.get(path) response_dict = r.json() # Explore information about the repositories. repo_dicts = response_dict['items'] names, plot_dicts = [], [] for