colormap | Colormap recommendation | Data Visualization library
kandi X-RAY | colormap Summary
kandi X-RAY | colormap Summary
Also see the gallery page. If you want to start using these colormaps in your own package, the single file you'll need is colormaps.py.
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colormap Examples and Code Snippets
Community Discussions
Trending Discussions on colormap
QUESTION
ANSWER
Answered 2022-Mar-27 at 06:17You can add another filter()
to get colours with value less than 10 only as shown below:
QUESTION
I am trying to create a visualization of square matrix with seaborn
heatmap, where all elements range between 0 and 1. However, I want to only show those greater than some threshold (ex. 0.5) and set other values to 0. Moreover, I want to set the range of colorbar to be shown between 0.5 and 1, but I do not want to adjust the full colormap to range between 0.5 and 1, but keep the original colormap range.
For example, I attach two examples that I tried:
1st example
...ANSWER
Answered 2022-Feb-27 at 09:34Your second example seems fine on my end, but here is a simpler alternative:
- Use the
Reds
cmap withvmin=0.5
(no need to alter the cbar'sylim
andyticklabels
) - Use the
mask
param to automatically mask thresholded values (no need to zero them out) - Set the "bad" and "under" colors for displaying masked values on the heatmap and colorbar
QUESTION
import matplotlib.pyplot as plt
import numpy as np
...ANSWER
Answered 2022-Feb-08 at 12:16What about using numpy.clip
to set the data below 0.25 to 0.25?
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:
QUESTION
I have this very simple code:
...ANSWER
Answered 2022-Jan-05 at 08:42I finaly have done the trick using theses lines of code:
QUESTION
I have two dataframes:
...ANSWER
Answered 2021-Dec-12 at 20:57You can reindex both dataframes to the same index:
QUESTION
I am trying to sort an array by multiple strings but coming up short. Is this possible or is writing something below the only to achieve this?
Doesn't work:
...ANSWER
Answered 2021-Dec-08 at 04:39const colorOrder = ['Red', 'Blue', 'Green'];
const order = data.sort(
(a, b) =>
colorOrder.indexOf(a.credits.credit.value) -
colorOrder.indexOf(b.credits.credit.value)
);
QUESTION
I implemented the regular algorithm to display the Mandelbrot set and colour it, and now I'm working on the smooth colouring features using a 255 colourmap.
This part is already well documented online (and even on this forum) and I choose the most popular way with the renormalization of the escape:
...ANSWER
Answered 2021-Nov-25 at 09:40There were two deviations from the linked algorithm that were causing issues:
- You were setting the escape radius to a low value (~2) in some cases
- You were dividing by the
log(R)
which was not correct. You should divide bylog(2)
Additionally some of the banding was because you were still using a discrete color map. You could use a continuous mapping of value -> hue, but if you want a particular cycle of colors, you can use lerpColor()
to smoothly transition from one color and the next based on the difference between the continuous/smooth value and the current index.
QUESTION
ANSWER
Answered 2021-Nov-13 at 03:16I think the functionality you are looking for is provided by scipy.stats.binned_statistic_2d
. You can use it to organize values of xf
and yf
arrays into 2-dimensional bins, and compute the mean of zf
values in each bin:
QUESTION
I am trying to change the default behaviour of seaborn by adding a colormap (a continuous color palette) instead of using the hue argument, which creates bins from a continuous variable. I have found the following code to work, however, I would like to add one more option, to center the color bar at 0, that is 0 gets the color white, and the colors diverge from zero to negative/positive.
...ANSWER
Answered 2021-Oct-25 at 12:15Using the c
, norm
, and cmap
key-word arguments which are passed through from seaborn to matplotlib.axes.Axes.scatter
(used to colour the points instead of palette
) and create a mcolors.TwoSlopeNorm
to create the normalisation centred around zero you can generate the plot like so:
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Install colormap
You can use colormap like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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