Hue | one coloring utility that you 'll ever need | Theme library
kandi X-RAY | Hue Summary
kandi X-RAY | Hue Summary
Hue is the all-in-one coloring utility that you'll ever need.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Hue
Hue Key Features
Hue Examples and Code Snippets
def adjust_hue(image, delta, name=None):
"""Adjust hue of RGB images.
This is a convenience method that converts an RGB image to float
representation, converts it to HSV, adds an offset to the
hue channel, converts back to RGB and then back
def hsv_to_rgb(hue: float, saturation: float, value: float) -> list[int]:
"""
Conversion from the HSV-representation to the RGB-representation.
Expected RGB-values taken from
https://www.rapidtables.com/convert/color/hsv-to-rgb.htm
def random_hue(image, max_delta, seed=None):
"""Adjust the hue of RGB images by a random factor.
Equivalent to `adjust_hue()` but uses a `delta` randomly
picked in the interval `[-max_delta, max_delta)`.
`max_delta` must be in the interval
Community Discussions
Trending Discussions on Hue
QUESTION
I found an answer for regplots, but I can't get the same code to work for relplots. I want to change the transparency of the confidence intervals while keeping the lines of my graph darker, but the alpha input for relplots makes the entire graph more translucent.
My code:
...ANSWER
Answered 2021-Jun-15 at 15:31While, regplot
returns one ax
(subplot), relplot
returns a complete grid of subplots (a FacetGrid
). Often, the return value is grabbed into a variable named g
(calling it cookie
can make things very confusing when comparing with code from the documents).
You can loop through the individual axes of the FacetGrid
and make the change for each of them:
QUESTION
The following code:
...ANSWER
Answered 2021-Jun-14 at 19:47- Calculate the mean for each group, and then add them to the existing
ax
with aseaborn.lineplot
- Set
dodge=False
in theseaborn.boxplot
- Remember that the line in the boxplot is the median, not the mean.
- Add the means to
boxplot
withshowmeans=True
, and then removemarker='o'
from thelineplot
, if desired.
- Add the means to
- As pointed out JohanC's answer:
sns.pointplot(data=dfm, x='variable', y='value', hue='parametrized_factor', ax=ax)
can be used without the need for calculatingdfm_mean
, however there isn't alegend=False
parameter, which then requires manually managing the legend.- Also, I think it's more straightforward to use
dodge=False
than to calculate the offsets. - Either answer is viable, depending on your requirements.
QUESTION
I'm trying to create a multi-page pdf using FacetGrid from this (https://seaborn.pydata.org/examples/many_facets.html). There are 20 grids images and I want to save the first 10 grids in the first page of pdf and the second 10 grids to the second page of pdf file. I got the idea of create mutipage pdf file from this (Export huge seaborn chart into pdf with multiple pages). This example works on sns.catplot() but in my case (sns.FacetGrid) the output pdf file has two pages and each page has all of the 20 grids instead of dividing 10 grids in each page.
...ANSWER
Answered 2021-Jun-14 at 17:16You are missing the col_order=cols
argument to the grid = sns.FacetGrid(...)
call.
QUESTION
Im tring to create a glitch image animation effect.
I use layers with mix blend modes, and clip paths. but how can I cut part of the main image?
Since I want to achieve the effect of displacing a piece of the picture. Main background can be image too, thats why I can't use background-color in layers.
...ANSWER
Answered 2021-Jun-10 at 08:18If you are intrested in a different idea here is another one without JS and only few line of CSS and with transparency:
QUESTION
Based on the guide Implementing PCA in Python, by Sebastian Raschka I am building the PCA algorithm from scratch for my research purpose. The class definition is:
...ANSWER
Answered 2021-Jun-11 at 12:52When calculating an eigenvector you may change its sign and the solution will also be a valid one.
So any PCA axis can be reversed and the solution will be valid.
Nevertheless, you may wish to impose a positive correlation of a PCA axis with one of the original variables in the dataset, inverting the axis if needed.
QUESTION
I have made a Seaborn stripplot on top of barplot that has experience group on the axis, grouped by two different conditions (target present or target not present) from a dataframe using the following code:
...ANSWER
Answered 2021-Jun-11 at 12:21You could create two stripplots
, one for each sex and draw them as the same spot. The double entries of the legend can be removed via get_legend_handles_labels()
and taking a subset of the handles and the labels.
Here is an example using the titanic dataset:
QUESTION
I am trying to use 2 strings of
CSS:
...ANSWER
Answered 2021-Jun-10 at 15:47It is not recommend nor supported to load the Google Maps JS API twice on a single page. You will get a console warning about this.
Problem:
- double billing
- collision and unexpected behaviors
Solutions:
- Use same key for both maps on page(not sure why this wouldn't be preferred).
- If you really must, one of the maps could be embedded in an iframe.
QUESTION
Currently, I'm having a problem comparing an array with a string. I have 2 arrays and want to find out if the elements in those 2 arrays are in the string
...ANSWER
Answered 2021-Jun-10 at 08:03Here is one way:
QUESTION
I have noticed there is a preprocess_input
function that is different according to the model you wanna use in tensorflow.keras.applications
.
I am using ImageDataGenerator
class to augment my data. More specificaly, I am using a CustomDataGenerator
, that extend from the ImageDataGenerator
class and adds a color transformation.
This is how it looks like:
...ANSWER
Answered 2021-Jun-09 at 15:42The issue is, you are already passing preprocessing_function
once here
QUESTION
I am trying to plot the following line graph with dummy data on 5 cities(C1-C5).
Based on what I understand, x="Year"
, y="Number of Employees"
and hue="City"
. How would I set up the code for it? I have tried doing it in the following manner, but it doesn't work!
ANSWER
Answered 2021-Jun-09 at 15:50- Given the test dataframe,
df
, in the OP, the easiest way to plot the dataframe is to usepandas.DataFrame.transpose
, and plot withseaborn.relplot
using a wide format.- This automatically uses the dataframe index as the x-axis, and the column headers for
hue
. - The visualization can also be produced with
sns.lineplot(data=df, marker='o')
instead of usingrelplot
.
- This automatically uses the dataframe index as the x-axis, and the column headers for
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