viridis | Colorblind-Friendly Color Maps for R
kandi X-RAY | viridis Summary
kandi X-RAY | viridis Summary
viridis, and its companion package viridisLite provide a series of color maps that are designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. viridisLite provides the base functions for generating the color maps in base R. The package is meant to be as lightweight and dependency-free as possible for maximum compatibility with all the R ecosystem. viridis provides additional functionalities, in particular bindings for ggplot2.
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QUESTION
I am trying to make a figure in ggplot where color, shape and size are mapped to a variable as follows: 0 values are shown as red crosses. Values > 0 are shown as circles with the circle size and color scaled to the variable (i.e. the larger the circle, the higher the value). I want to use a binned viridis scale for the color. The values mapped to color vary randomly, so the scaling should not be hardcoded. Here is the figure:
...ANSWER
Answered 2022-Mar-31 at 08:32You can override the aesthetics inside guides:
QUESTION
homicide_scatter_df.plot.scatter(x='Homicide',y='Area Name',s = 225,
c = 'Population/mil', colormap='viridis',
sharex=False)
ANSWER
Answered 2022-Mar-28 at 21:03In the pandas plot, c='Population/mil' works because pandas already knows this is a column of homicide_scatter_df.
In the matplotlib plot, you need to either pass the full column like you did for x and y:
QUESTION
I have source (src) image(s) I wish to align to a destination (dst) image using an Affine Transformation whilst retaining the full extent of both images during alignment (even the non-overlapping areas).
I am already able to calculate the Affine Transformation rotation and offset matrix, which I feed to scipy.ndimage.interpolate.affine_transform to recover the dst-aligned src image.
The problem is that, when the images are not fuly overlapping, the resultant image is cropped to only the common footprint of the two images. What I need is the full extent of both images, placed on the same pixel coordinate system. This question is almost a duplicate of this one - and the excellent answer and repository there provides this functionality for OpenCV transformations. I unfortunately need this for scipy's implementation.
Much too late, after repeatedly hitting a brick wall trying to translate the above question's answer to scipy, I came across this issue and subsequently followed to this question. The latter question did give some insight into the wonderful world of scipy's affine transformation, but I have as yet been unable to crack my particular needs.
The transformations from src to dst can have translations and rotation. I can get translations only working (an example is shown below) and I can get rotations only working (largely hacking around the below and taking inspiration from the use of the reshape argument in scipy.ndimage.interpolation.rotate). However, I am getting thoroughly lost combining the two. I have tried to calculate what should be the correct offset (see this question's answers again), but I can't get it working in all scenarios.
Translation-only working example of padded affine transformation, which follows largely this repo, explained in this answer:
...ANSWER
Answered 2022-Mar-22 at 16:44If you have two images that are similar (or the same) and you want to align them, you can do it using both functions rotate and shift :
QUESTION
Hi I'm currently working with a dataset of new Covid-19 cases per 100k people for every county in the US.
Dataset:
County FIPS Week 1 Week 2 Week 3 Week 4 ... 01001 11.7390 11.7390 13.5299 11.7390 01003 4.5835 9.5110 17.5743 20.2621 01005 0.0000 9.1016 33.4078 33.4078 ...I was able to have a Choropleth map that captures any single week. In this case, week 4.
...ANSWER
Answered 2022-Feb-25 at 07:33The data format needs to be converted to a vertical format instead of a horizontal format. The next step is to add an animation frame in the map settings. Specify the name of the week that will become the slider. Since the data is partial, I narrowed down the range to see if it was working correctly.
QUESTION
I am trying to create several leaflet maps based on what the user select. I tried to produce a reproducible example. I have a sf with four shapes (i.e., representing four counties in NC). The user can choose to plot one to four maps based on the choice of the county (made through the "checkboxGroupInput". If the user select one county, I should plot one map representing the county the user selected. If the user selected two counties, two maps should be plotted, etc.
I got several lines of code but I could not connect the user selection to my map. Below you can find what I tried to do. Thanks for any help.
...ANSWER
Answered 2022-Feb-25 at 22:47Interesting question. I would use a rather different approach to get the job done. Instead of creatign that many conditional panels, I would write a function that creates a collection of columns depending on the number of counties selected.
QUESTION
Here is the dput for my data:
...ANSWER
Answered 2022-Feb-24 at 13:59Increase the space between the plot and the axis using scale_y_discrete(expand = expansion(mult = c(0.05, 0.7))). The second element to the mult argument controls the upper limits: set at a high value to illustrate the point - set to suit your aesthetic requirements.
QUESTION
I think it is a recent change in ggplot2 that all the values defined in the scale_manual function are included in the legend, but I want only the values that are in the data set in the legend.
Below is a minimal example, in which "C" is filtered from the data set but still appears in the legend. Is there an easy fix to remove "C" from the legend?
...ANSWER
Answered 2021-Dec-03 at 04:51You may just simply remove C from myColors which is named vector, similar work with filter(label != "C").
QUESTION
For matplotlib, I used this code to change a default color cycle setting, so that I could plot multiple lines with colors in this cycle.
...ANSWER
Answered 2022-Feb-21 at 12:39I often use from itertools import cycle and next() where could be any sequence of colors, like px.colors.qualitative.Alphabet.
Here's a setup that comes close to what you're looking for:
QUESTION
I have a requirement to produce color scale based on the threshold values as shown below:
At present, I'm only able to populate color scale as shown below:
...ANSWER
Answered 2022-Feb-12 at 11:51You can create a ListedColormap from a list of colors. The following approach reads the image from the colormap and extracts the 45 colors of the centers of the colored rectangles. Note that the quality would be a bit better if the original image were saved ax png without passing through jpeg. As jpeg mixes the colors a bit, they might be slightly different from the originals.
QUESTION
I am using plotly. I am getting the plot. The problem is, I am using seasons as colormap. I have used 1 for fall, 2 for winter, ..,4 for summer. Now, the colomap shows these numbers and also 1.5, 2.5 etc. I want to show Names instead of numbers
My code:
...ANSWER
Answered 2022-Jan-27 at 02:07You can modify the coloraxis by adding the following lines to your code:
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