celluloid | : movie_camera : Matplotlib animations | Animation library
kandi X-RAY | celluloid Summary
kandi X-RAY | celluloid Summary
Creating animations should be easy. This module makes it easy to adapt your existing visualization code to create an animation.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Snap the artist s artists .
- Return an artist animation .
- Initialize the figure .
celluloid Key Features
celluloid Examples and Code Snippets
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from celluloid import Camera
a = np.array([[0.24671953, 0.25959473, 0.85494718],
[0.60553861, 0.76276659, 0.41092171],
[0.37356358, 0.693
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
Pe = np.random.rand(5, 5)
fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(10, 4))
sns.set_style('white')
sns.heatmap(
from matplotlib import pyplot as plt
from celluloid import Camera
fig = plt.figure()
camera = Camera(fig)
for i in range(10):
plt.plot([i] * 10)
camera.snap()
animation = camera.animate()
plt.show()
# OR
animation.save('test.mp4'
from scipy.stats import norm
import numpy as np
N = 20
x = np.linspace(norm.ppf([0.001, 0.999]), N)
y = norm.pdf(x)
import matplotlib.pyplot as plt
import numpy as np
import scipy
from scipy.stats import norm
from
import matplotlib.pyplot as plt
import numpy as np
from celluloid import Camera
import ffmpeg
import PIL
from matplotlib import animation, rc
from IPython.display import HTML, Image # For GIF
from scipy.interpolate import griddata
rc('ani
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from celluloid import Camera
fig, (ax, cbar_ax) = plt.subplots(ncols=2, figsize=(12, 9), gridspec_kw={'width_ratios': [10, 1]})
camera = Camera(fig)
for _ in range(
df = pd.DataFrame(dataDict)
x = df['Year']
y = df['billion']
fig, ax = plt.subplots()
line, = ax.plot(x, y, color='b')
def update(num, x, y, line,ax):
ax.collections.clear()
line.set_data(x[:num], y[:num])
ax.fill_between(df[
from matplotlib import pyplot as plt
from celluloid import Camera
import numpy as np
# create figure object
fig = plt.figure()
# load axis box
ax = plt.axes()
# set axis limit
ax.set_ylim(0, 1)
ax.set_xlim(0, 10)
camera = Camera(fig)
fo
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import matplotlib.animation as ani
import numpy as np
import pandas as pd
from celluloid import Camera
fig = plt.figure()
camera = Camera(fig) # https://pypi.org/pro
Community Discussions
Trending Discussions on celluloid
QUESTION
How do I increase the font size of the numbers in the heatmap as well as the colorbar? The numbers are too small as can be seen below.
...ANSWER
Answered 2022-Feb-08 at 14:58- Adjust your figure size so that it's smaller (so your text, relatively, is bigger)
or
- Scale up the SNS font sizes using
sns.set(font_scale=3)
(credit @JohanC)
QUESTION
I want the green rectangle to not disappear as it moves from one value to another in matrix b
. For example, the rectangle is around 0.24671953. Then the rectangle stays on this value. Then another rectangle appears onto the next value which is 0.25959473. Then another rectangle appears on 0.41092171, with the previous two rectangles not disappearing.
ANSWER
Answered 2022-Feb-04 at 21:22It looks like celluloid
clears the existing plot at each snap
. You can recreate the plot from scratch at each step. The rectangles can be stored in a list.
To avoid that new colorbar positions are set at each step, you can use sns.heatmap
's cbar_ax=
parameter to always use the same colorbar ax
:
QUESTION
I was trying the first simple animation from this page. I am clearly a beginner at making animations. I paste the code below.
...ANSWER
Answered 2022-Jan-28 at 05:38To avoid this error (in fact is just a UserWarning
), you have to display or save the animation. At the bottom of your code:
QUESTION
I have implemented a simple randomized, population-based optimization method - Grey Wolf optimizer. I am having some trouble with properly capturing the Matplotlib plots at each iteration using the camera
package.
I am running GWO for the objective function f(x,y) = x^2 + y^2. I can only see the candidate solutions converging to the minima, but the contour plot doesn't show up.
Do you have any suggestions, how can I display the contour plot in the background?
GWO Algorithm implementation
...ANSWER
Answered 2021-Nov-29 at 00:57Is it possible that the line x = np.linspace(LB[0],LB[1],1000)
should be x = np.linspace(LB[0],UB[1],1000)
instead? With your current definition of x
, x
is an array only filled with the value -10
which means that you are unlikely to find a contour.
Another thing that you might want to do is to move the cont = plt.contour(X1,X2,Z,20,linewidths=0.75)
line inside of your plot_search_agent_positions
function to ensure that the contour is plotted at each iteration of the animation.
Once you make those changes, the code looks like that:
QUESTION
I am building a 'netflix' style app for practice. In it, I want the user to be able to find all movies of a certain genre by typing in the following url:
http://localhost:8080/movies/Adventure
But I seem to be going wrong somewhere, because the list returns null... here is my code:
...ANSWER
Answered 2021-Aug-19 at 07:13Movies.find({ "Genre.Name": req.params.genre })
QUESTION
ANSWER
Answered 2021-Mar-11 at 23:43The problem is that seaborn constantly creates a new colorbar. To solve it, a fixed ax
for the colorbar needs to be created at the start of the code.
Here is the general setup, using celluloid
's Camera
. If you leave out cbar_ax=cbar_ax
you'll see the strange behavior of an endless caravan of colorbars.
QUESTION
I'm trying to revive an old Rails application I worked on several years ago. I'm using ruby 2.3.3 and rails 3.2.15 on the Heroku-16 stack with ClearDB for my MySQL database with the mysql2 adapter. When deploying to Heroku it succeeds on the deploy but crashes when it tries to start the app.
Full stack trace from the Heroku log (updated after fixing activerecord-import gem version per suggestion in first answer):
...ANSWER
Answered 2021-Feb-09 at 01:07Looks like you're running into compatibility issues trying to use the latest version of the activerecord-import gem at the time of writing (released in October 2020) with activerecord 3.2.22.5 (released in September 2016). You do mention it's a rails 3.2.15 app but you're not using activerecord 3.2.15 which is confusing.
Try using activerecord-import 0.4.1 (released in July 2013) and activerecord 3.2.15 which should be compatible with rails 3.2.15.
QUESTION
I made a plot of the projected world population that I've been struggling for days to animate. Here is the plot:
...ANSWER
Answered 2020-Oct-21 at 03:28A sequence of patches are stored in collections
. Everytime update is called a new patch is added. Therefore, you will need to clear previous patches as implemented here. Morever, you want to have blit=False
because the axes
are being modified.
QUESTION
I picked up a 4 year old project written in Ruby 2.1.3
and Rails 4.1.8
.
Very few of the gems were versioned but I've managed to get the project running locally by installing mysql2 0.3.20
as suggested in multiple other threads. Doing this required me to (on MacOS) downgrade openssl and mysql with brew install mysql@57
and brew install openssl@10
.
I could then install mysql2
with by passing the correct libraries to it:
gem install mysql2 -v 0.3.20 -- --with-mysql-config=/usr/local/opt/mysql@5.7/bin/mysql_config --with-ldflags=-L/usr/local/opt/openssl@1.0/lib --with-cppflags=-I/usr/local/opt/openssl@1.0/include
Everything works locally, all good.
I'm trying to deploy this project with Dokku on a Debian instance. Here's the readout from the push to dokku master including the error thrown when starting the Rails server:
...ANSWER
Answered 2020-Jun-22 at 18:38I think I see what's going on. In your Dockerfile, change your DB_URL from: mysql:// to mysql2://
You are loading the mysql2 gem, but indicating to ActiveRecord that you want to use a connection via the mysql gem.
QUESTION
I want to animate the process of finding the minimum point of a function by different gradient descent optimization methods. For this purpose, I am using matplotlib and celluloid packages. The problem is that it is not possible to fix the legend of the plot in animation and in each loop a new legend is added below the previous legend as you can see in the figure below. is there any way to fix the legend and avoid this problem?
...ANSWER
Answered 2020-Jan-27 at 04:56The best practice here would be to create a custom legend instead of automatically generating a legend, in this case that could be done by
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install celluloid
You can use celluloid 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.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page