Pandas Read CSV and animate the data - Revision history

Mol: /* Save the animation */

2025-07-10T13:56:04Z

Save the animation

← Older revision		Revision as of 16:56, 10 July 2025
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	<syntaxhighlight lang="bash">		<syntaxhighlight lang="bash">
	magick ~~convert -coalesce~~ image.gif image.png		magick image.gif -coalesce image.png
	</syntaxhighlight>		</syntaxhighlight>

2025-07-10T12:38:03Z

Read the data 4

← Older revision		Revision as of 15:38, 10 July 2025
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	</syntaxhighlight>		</syntaxhighlight>

	=== ~~Read the data 4~~ ===		=== Images ===

	~~<syntaxhighlight lang="bash">~~		[[File:DisplacementmagnitudeMax-mm-.gif\|thumb\|The final image]]
	~~</syntaxhighlight>~~

	== References ==		== References ==

2025-07-10T09:20:01Z

Make the bouncing scheme

← Older revision		Revision as of 12:20, 10 July 2025
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	</syntaxhighlight>		</syntaxhighlight>

	The <code>float</code> is needed because of the wrong format. It can be fixed when reading the dataframe from csv.		The <code>float</code> is needed because of the wrong format. It can be fixed when reading the dataframe from csv, eg using
			<syntaxhighlight lang="python">
			#Convert values and index to numeric
			df= df.apply(pd.to_numeric)
			df.index = pd.to_numeric( df.index, errors='coerce' )
			</syntaxhighlight>
			but I didn't try this now.

	=== Animate the data ===		=== Animate the data ===

2025-07-10T09:15:52Z

Make the bouncing scheme

← Older revision		Revision as of 12:15, 10 July 2025
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	x = np.linspace(0, 1, Dps)		x = np.linspace(0, 1, Dps)
	for i,j in enumerate(idxs):		for i,j in enumerate(idxs):
	a = BounceEaseOut(start=0, end=dmax.iloc[j], duration=1)		a = BounceEaseOut(start=0, end=float(dmax.iloc[j]), duration=1)
	X[i] = list( map( a,x ) )		X[i] = list( map( a,x ) )
	</syntaxhighlight>		</syntaxhighlight>

			The <code>float</code> is needed because of the wrong format. It can be fixed when reading the dataframe from csv.

	=== Animate the data ===		=== Animate the data ===

2025-07-10T08:33:40Z

Save the animation

← Older revision		Revision as of 11:33, 10 July 2025
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	<syntaxhighlight lang="bash">		<syntaxhighlight lang="bash">
	convert -coalesce image.gif image.png		magick convert -coalesce image.gif image.png
	</syntaxhighlight>		</syntaxhighlight>

2025-07-10T08:31:44Z

Save the animation

← Older revision		Revision as of 11:31, 10 July 2025
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	The animation can be saved. GIF (and mp4) format is easy:		The animation can be saved. GIF (and mp4) format is easy:

	<syntaxhighlight lang="~~bash~~">		<syntaxhighlight lang="python">
	f = (title+".gif").replace(" ", "")		f = (title+".gif").replace(" ", "")
	writergif = animation.PillowWriter(fps=30)		writergif = animation.PillowWriter(fps=30)
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	</syntaxhighlight>		</syntaxhighlight>

	but png is giving some troubles.		but png is giving some troubles. Thus, save it in gif and convert using Imagemagick's converto to pngs

			<syntaxhighlight lang="bash">
			convert -coalesce image.gif image.png
			</syntaxhighlight>

	=== Read the data 4 ===		=== Read the data 4 ===

2025-07-10T07:53:25Z

Animate the data

← Older revision		Revision as of 10:53, 10 July 2025
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	=== Animate the data ===		=== Animate the data ===

	The animation is simple and follows directly the manual given at https://matplotlib.org/stable/users/explain/animations/animations.html. We use the artist which will contain all the animation data at all timesteps.		The animation is simple and follows directly the manual given at https://matplotlib.org/stable/users/explain/animations/animations.html. We use the artist which will contain all the animation data at all timesteps. Thus, we will have a precomputed list of images.

2025-07-10T06:53:37Z

Read the data 3

← Older revision		Revision as of 09:53, 10 July 2025
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	</syntaxhighlight>		</syntaxhighlight>

	=== ~~Read~~ the ~~data 3~~===		=== Save the animation ===

			The animation can be saved. GIF (and mp4) format is easy:

	<syntaxhighlight lang="bash">		<syntaxhighlight lang="bash">
			f = (title+".gif").replace(" ", "")
			writergif = animation.PillowWriter(fps=30)
			ani.save(f, writer=writergif)
	</syntaxhighlight>		</syntaxhighlight>

			but png is giving some troubles.

	=== Read the data 4 ===		=== Read the data 4 ===

2025-07-10T06:13:10Z

Read the data and set variables

← Older revision		Revision as of 09:13, 10 July 2025
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	the <code>names</code> depict which columns are to be plotted. Equally, the <code>idxs</code> variable contains the corresponding indexes. Setting those could be automated, but I didn't do that.		the <code>names</code> depict which columns are to be plotted. Equally, the <code>idxs</code> variable contains the corresponding indexes. Setting those could be automated, but I didn't do that.

	<syntaxhighlight lang="~~bash~~">		<syntaxhighlight lang="python">
	from matplotlib import pyplot as plt		from matplotlib import pyplot as plt
	from matplotlib import animation		from matplotlib import animation

2025-07-10T06:12:41Z

Make the bouncing scheme

← Older revision		Revision as of 09:12, 10 July 2025
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	The <code>X</code> matrix (array) will contain the animation steps for all <code>idxs</code>. The easing functions are designed such that the input of the functions is <math>[0,1]</math>, and thus <code>x</code> is a variable containing the corresponding floating point numbers. The easing functions input the beginning and the end position of the y values. The duration is set to one, 1.		The <code>X</code> matrix (array) will contain the animation steps for all <code>idxs</code>. The easing functions are designed such that the input of the functions is <math>[0,1]</math>, and thus <code>x</code> is a variable containing the corresponding floating point numbers. The easing functions input the beginning and the end position of the y values. The duration is set to one, 1.

	<syntaxhighlight lang="~~bash~~">		<syntaxhighlight lang="python">
	X = np.zeros( (len(names), Dps) )		X = np.zeros( (len(names), Dps) )
	x = np.linspace(0, 1, Dps)		x = np.linspace(0, 1, Dps)