AnimatedWordCloudTimelapse 1.0.9
Animate a timelapse of word cloud
License: MIT License
Requires Python: >=3.8
Keywords: NLP, World Cloud, Animation, Natural Language Processing, video, Visualization, Data Science

# AnimatedWordCloud ver 1.0.9

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AnimatedWordCloud animates the timelapse of your words vector.

## Examples!

Using [Elon Musk's tweets](https://data.world/adamhelsinger/elon-musk-tweets-until-4-6-17).  
(C) Elon Musk

![output_elon](https://github.com/konbraphat51/AnimatedWordCloud/assets/101827492/89052c20-b228-42d8-921e-ebae9f7e30a0)

[Procedure Notebook](https://github.com/konbraphat51/AnimatedWordCloudExampleElon)

## 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](https://github.com/konbraphat51/AnimatedWordCloudExampleElon) for details

#### Using default configuration

```python
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

```python
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. <br>This is based on [Pillow.Image.new()](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.new)                            |
| color_map                        | str             | color map used for coloring words<br>This is based on [matplotlib colormap](https://matplotlib.org/stable/users/explain/colors/colormaps.html)                     |
| allocation_strategy              | str(literal)    | allocation algorithm method. This will change the allocation of the words in the output. <br> 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.<br>silent: nothing<br>minor: bars to know the progress<br>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<br>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`](https://pillow.readthedocs.io/en/stable/reference/ImageColor.html#color-names)                     |
| time_stamp_font_size             | int             | Font size of the time stamp.<br>If None(default), it will be set to 75% of max_font_size                                                                           |
| time_stamp_position              | tuple[int, int] | Position of the time stamp.<br>If None(default), it will be set to (image_width*0.75, image_height*0.75) which is right bottom.                                    |
| intermediate_frames_id           | str             | Static images of each frame of itermediate product will be saved as "{intermediate*frames_id}*{frame_number}.png".<br>If None(default), this will be set randomly. |

## Want to contribute?

Look at [CONTRIBUTING.md](CONTRIBUTING.md) first.

### Maintainers

- [Konbraphat51](https://github.com/konbraphat51): Head Author  
  [![Konbraphat51 icon](https://github.com/konbraphat51.png)](https://github.com/konbraphat51)

- [SuperHotDogCat](https://github.com/SuperHotDogCat): Author  
  [![SuperHotDogCat](https://github.com/SuperHotDogCat.png)](https://github.com/SuperHotDogCat)

## Want to support?

**⭐Give this project a star⭐**  
This is our first OSS project, ⭐**star**⭐ would make us very happy⭐⭐⭐