kineo-styling 0.0.1
Kineo Styling Library
Requires Python: >=3.9

# Kineo Styling Module
Library of Kineo Styling for the efficient plotting of graphs for presentations.

## Importing anything
```
from kineo_styling import colors, styling, export
```

## Colors Module

```
# Print all attributes of the colors module
print("The following attributes are available in the colors module:")
for i in dir(colors):
    if "__" not in i:
        print(f"{i}: {type(getattr(colors, i))}")

# You can see the colors via:
colors.show_colors()
```

## Styling Module

Styling means, removing the background, enabling the kineo color palette and adjusting colors in accordance to dark/lightmode. Alos it removes the title. Since this title should be done on the presentations slides.

There are three things you can use inside the styling module:
Example
```
import plotly.express as px

# Either pathing to lightmode or to dark mode
@styling.patch_to_light_mode
def example_bar_chart():
    df = px.data.iris()
    fig = px.bar(df, x="sepal_width", y="sepal_length", color="species", barmode="group")
    return fig

# Or you can use the dark mode
@styling.patch_to_dark_mode
def example_line_chart():
    df = px.data.gapminder().query("continent=='Oceania'")
    fig = px.line(df, x="year", y="lifeExp", color='country')
    return fig
    
fig1 = example_bar_chart()
fig1.show()

fig2 = example_line_chart()
fig2.show()
```

## Styling Module

Styling means, removing the background, enabling the kineo color palette and adjusting colors in accordance to dark/lightmode. Alos it removes the title. Since this title should be done on the presentations slides.

There are three things you can use inside the styling module:
Example for Decorators
```
import plotly.express as px

# Either pathing to lightmode or to dark mode
@styling.patch_to_light_mode
def example_bar_chart():
    df = px.data.iris()
    fig = px.bar(df, x="sepal_width", y="sepal_length", color="species", barmode="group")
    return fig

# Or you can use the dark mode
@styling.patch_to_dark_mode
def example_line_chart():
    df = px.data.gapminder().query("continent=='Oceania'")
    fig = px.line(df, x="year", y="lifeExp", color='country')
    return fig
    
fig1 = example_bar_chart()
fig1.show()

fig2 = example_line_chart()
fig2.show()
```

Example for styling function
```
import plotly.express as px


def example_bar_chart():
    df = px.data.tips()
    fig = px.box(df, x="day", y="total_bill", color="smoker", points="all")
    return fig


fig = example_bar_chart()
fig = styling.style_fig_for_presentation(
    fig=fig,  # The figure to use
    update_layout_kwargs={},  # any kwargs that you would pass to fig.update_layout
    update_traces_kwargs={},  # any kwargs that you would pass to fig.update_traces
    patch_colors=True,  # Whether to patch colors to the kineo color palette
    dark_mode=True,  # Whether to patch to dark mode
)
fig.show()
````

## Export Module

This module only contains function to export figures in Kineo styles

```
import plotly.express as px
import pandas as pd

data = [1,2,3,4,5,6,7,8,9]
df = pd.DataFrame(dict(
    linear=data,
    inclusive=data,
    exclusive=data
)).melt(var_name="quartilemethod")


fig = px.box(df, y="value", facet_col="quartilemethod", color="quartilemethod",
             boxmode="overlay", points='all')

fig.update_traces(quartilemethod="linear", jitter=0, col=1)
fig.update_traces(quartilemethod="inclusive", jitter=0, col=2)
fig.update_traces(quartilemethod="exclusive", jitter=0, col=3)

export.export_figure_as_png(
    fig=fig,  # The figure to use
    output_path="example_plot_dark.png",  # The output path for the image
    update_layout_kwargs={},  # any kwargs that you would pass to fig.update_layout
    update_traces_kwargs={},  # any kwargs that you would pass to fig.update_traces
    patch_colors=True,  # Whether to patch colors to the kineo color palette
    dark_mode=True,  # Whether to patch to dark mode
)

# export.export_figure_as_png_dark_mode(fig, "example_plot_dark.png")
export.export_figure_as_png_light_mode(fig, "example_plot_light.png")

```