AnimatedWordCloudTimelapse 1.0.7

Animate a timelapse of word cloud

AnimatedWordCloud ver 1.0.7

UNDER CONSTRUCTION

AnimatedWordCloud animates the timelapse of your words vector.

Examples!

Using Elon Musk's tweets.
(C) Elon Musk

Procedure Notebook

How to use?

Requirements

Python (3.8 <= version <= 3.12)

install

BE CAREFUL of the name

❌AnimatedWordCloud
✅AnimatedWordCloudTimelapse

pip install AnimatedWordCloudTimelapse

coding

See Example Notebook for details

Using default configuration

from AnimatedWordCloud import animate

# data must be list[("time name", dict[str, float])]
timelapse_wordvector = [
    (
        "time_0",   #time stamp
        {
            "hanshin":0.334,    #word -> weight
            "chiba":0.226
        }
    ),
    (
        "time_1",
        {
            "hanshin":0.874,
            "fujinami":0.609
        }
    ),
    (
        "time_2",
        {
            "fujinami":0.9,
            "major":0.4
        }
    )
]

# animate!
# the animation gif path is in this variable!
path = animate(timelapse_wordvector)

Editing configuration

from AnimatedWordCloud import animate, Config

config = Config(
    what_you_want_to_edit = editing_value
)

timelapse = # adding time lapse data

#give the config to second parameter
animate(timelapse, config)

Parameters of Config

All has default value, so just edit what you need

parameter name	type	meaning
font_path	str	Path to the font file.
output_path	str	Parh of the output directory
max_words	int	max number of the words in the screen
max_font_size	int	Maximum font size of the word
min_font_size	int	Minimum font size of the word
image_width	int	Width of the image
image_height	int	Height of the image
background_color	str	Background color. This is based on Pillow.Image.new()
color_map	str	color map used for coloring words This is based on matplotlib colormap
allocation_strategy	str(literal)	allocation algorithm method. This will change the allocation of the words in the output. There is "magnetic" now.
image_division	int	precision of allocation calculation. Higher the preciser, but calculation slower
movement_reluctance	float	Reluctance of the movement of the word. If higher, the word tends to stay near to the previous position.
verbosity	str(literal)	logging. silent: nothing minor: bars to know the progress debug: all progress. noisy
transition_symbol	str	written in the image
starting_time_stamp	str	time stamp of the first frame (before the first time stamp in the input timelapse data)
duration_per_interpolation_frame	int	milliseconds per interpolation frame
duration_per_static_frame	int	milliseconds per staic (frame correspond to timestamp of wordvector) frame
n_frames_for_interpolation	int	how many frames will be generated for interpolation between each frames
interpolation_method	str(literal)	The method of making movement There is "linear" now
drawing_time_stamp	bool	Whether to draw time stamp on the image
time_stamp_color	str	Color of the time stamp. This is based on Pillow ImageColor
time_stamp_font_size	int	Font size of the time stamp. If None(default), it will be set to 75% of max_font_size
time_stamp_position	tuple[int, int]	Position of the time stamp. If None(default), it will be set to (image_width0.75, image_height0.75) which is right bottom.
intermediate_frames_id	str	Static images of each frame of itermediate product will be saved as "{intermediateframes_id}{frame_number}.png". If None(default), this will be set randomly.

Want to contribute?

Look at CONTRIBUTING.md first.

Maintainers

• Konbraphat51: Head Author
  

• SuperHotDogCat: Author
  

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