colorbar

问题 How could I add a label for some colored bars I've added in a dendrogram plot? The code bellow will show the two attempts I've done for aiming task, which is linking the value 1 to the color red and value 0 to color white in a label for the colored bars. # replacing the graphic window parameter so the color bars would fit par( oma = c(0,1,1,1), mgp = c(1,0.5,0), mar = c(10,2,2,2) ) # load necessary packages library( squash ) library( dendextend ) # "initializatin" data("mtcars") myDend <- as

问题 How could I add a label for some colored bars I've added in a dendrogram plot? The code bellow will show the two attempts I've done for aiming task, which is linking the value 1 to the color red and value 0 to color white in a label for the colored bars. # replacing the graphic window parameter so the color bars would fit par( oma = c(0,1,1,1), mgp = c(1,0.5,0), mar = c(10,2,2,2) ) # load necessary packages library( squash ) library( dendextend ) # "initializatin" data("mtcars") myDend <- as

问题 I want to make a contour plot of some data, but it is possible that all values in the field at the same value. This causes an error in matplotlib, which makes sense since there really isn't a contour to be created. For example, if you run the code below, you will get an error, but delete the second definition of zi and it runs as expected. How can I make a "contour" plot for some data if it is a uniform field? I want it to look just like the regular contour plot (to have a box filled with

问题 I want to make a contour plot of some data, but it is possible that all values in the field at the same value. This causes an error in matplotlib, which makes sense since there really isn't a contour to be created. For example, if you run the code below, you will get an error, but delete the second definition of zi and it runs as expected. How can I make a "contour" plot for some data if it is a uniform field? I want it to look just like the regular contour plot (to have a box filled with

问题 How to reduce the colorbar limit when used with contourf ? The color bound from the graphs itself are well set with "vmin" and "vmax", but the colorbar bounds are not modified. import numpy as np import matplotlib.pyplot as plt x = np.arange(20) y = np.arange(20) data = x[:,None]+y[None,:] X,Y = np.meshgrid(x,y) vmin = 0 vmax = 15 #My attempt fig,ax = plt.subplots() contourf_ = ax.contourf(X,Y,data, 400, vmin=vmin, vmax=vmax) cbar = fig.colorbar(contourf_) cbar.set_clim( vmin, vmax ) # With

问题 How can I hide the colorbar in the following plotly example taken from their website? df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv') # light grey boundaries l <- list(color = toRGB("grey"), width = 0.5) # specify map projection/options g <- list( showframe = FALSE, showcoastlines = FALSE, projection = list(type = 'Mercator') ) plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth', color = GDP..BILLIONS.,

问题 How can I hide the colorbar in the following plotly example taken from their website? df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv') # light grey boundaries l <- list(color = toRGB("grey"), width = 0.5) # specify map projection/options g <- list( showframe = FALSE, showcoastlines = FALSE, projection = list(type = 'Mercator') ) plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth', color = GDP..BILLIONS.,

来源： https://stackoverflow.com/questions/56045557/matplotlib-add-a-custom-colorbar-that-runs-from-full-transparent-to-full-color

来源： https://stackoverflow.com/questions/56045557/matplotlib-add-a-custom-colorbar-that-runs-from-full-transparent-to-full-color

来源： https://stackoverflow.com/questions/60683158/display-colorbars-for-multiple-colormaps-in-matlab