data-visualization

The code below is supposed to colour all the states of Vietnam: import pandas as pd import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap fig, ax = plt.subplots(figsize=(10,20)) # create the map map = Basemap(resolution='l', # c, l, i, h, f or None projection='merc', lat_0=15.95, lon_0=105.85, llcrnrlon=102., llcrnrlat= 8.31, urcrnrlon=109.69, urcrnrlat=23.61) # load the shapefile, use the name 'states' map.readshapefile(r'path\to\gadm36_VNM_1', name='states', drawbounds=True) # shapefile downloaded from http://www.gadm.org/ # collect the state names from the shapefile

I have an heatmap that show some data and a sparkline for each line of the heatmap. If the user click on a row label, then the data are ordered in decreasing order, so each rect is placed in the right position. Viceversa, if the user click on a column label. Each react is placed in the right way but I'm not able to place the sparkline. Here the code . When the user click on a row label, also the path inside the svg containing the sparkline should be updated. And then, when the user click on a column label, the svg containing the sparkline should be placed in the correct line. To place the svg

I'm interested in creating a Dot plot (the one with the consecutive dots for every data value) but what I've managed so far is to create just a single dot for every value. To be more clear, let's say for the array1 I want for the first value to create 5 circles, for the second 4 circles and so on... array1 = [5,4,2,0,3] Any ideas? Part of my code: var circle = chart.selectAll("g") .data(d) .enter() .append("g") .attr("transform", function(d) { return "translate(" + xScale(d.values) + ",0)"; }); circle.append("circle") .attr("cx", xScale.rangeBand()/2) .attr("cy", function(d) { return yScale(d

I am trying to create a simple program so as to display the map of central America with their population using Pygal_maps_world.Here's the code for the same import pygal_maps_world as pa wm=pa.World() wm.title="Map of Central America" wm.add('North America',{'cd': 84949494949,'mx': 494794164,'us': 99794616}) wm.render_to_file('map.svg') I have tried a few combinations regarding the importing of the World maps to work properly but to no avail and i am not able to create the visualization. Help me solve this query of mine Thanks In the recent versions of pygal, you start with the first four

I am trying to create circular phylogenetic tree. I have this part of code: fit<- hclust(dist(Data[,-4]), method = "complete", members = NULL) nclus= 3 color=c('red','blue','green') color_list=rep(color,nclus/length(color)) clus=cutree(fit,nclus) plot(as.phylo(fit),type='fan',tip.color=color_list[clus],label.offset=0.2,no.margin=TRUE, cex=0.70, show.node.label = TRUE) And this is result: Also I am trying to show label for each node and to color branches. Any suggestion how to do that? Thanks! When you say "color branches" I assume you mean color the edges. This seems to work, but I have to

I'm trying to make a bar plot with a color bar, each bar's hight is one variable (y) and each bar should have a color depending on another variable (c). What I've got to is this (simple example): data_x = [0,1,2,3] data_hight = [60,60,80,100] data_color = [1000,500,1000,900] data_color = [x / max(data_color) for x in data_color] fig, ax = plt.subplots(figsize=(15, 4)) my_cmap = plt.cm.get_cmap('GnBu') colors = my_cmap(data_color) rects = ax.bar(data_x, data_hight, color=colors) CS = plt.contourf([data_x, data_color],cmap=my_cmap) cbar = plt.colorbar(CS, cmap=my_cmap) cbar.set_label('Color',