MNoichl

## add umap xy-indicator as ax.py
def add_inset_axes(base_ax, inset_position, inset_size, line_length_ratio=0.4):
    """
    Adds an inset axis with a UMAPX/Y indicator into a Matplotlib figure.

    Parameters:
    - base_ax: The base axes to which the inset will be added.
    - inset_position: The position of the inset in figure space (x, y).
    - inset_size: Width and height of the inset in figure space (width, height).
    - line_length_ratio: The ratio of the line length to the inset size.

## set_label_sizes.py
import textwrap
from sklearn.preprocessing import MinMaxScaler


df['wrapped_label'] = [textwrap.fill(label, width=20) for label in df['label']]

# Set the font-size range:
scaler = MinMaxScaler(feature_range=(3,28))

#set the rescaling-value

## .block
license: mit

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license: mit

## .block
license: gpl-3.0
height: 600

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license: mit

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license: mit

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license: mit

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license: mit

## .block
license: mit
	def add_inset_axes(base_ax, inset_position, inset_size, line_length_ratio=0.4):
	"""
	Adds an inset axis with a UMAPX/Y indicator into a Matplotlib figure.

	Parameters:
	- base_ax: The base axes to which the inset will be added.
	- inset_position: The position of the inset in figure space (x, y).
	- inset_size: Width and height of the inset in figure space (width, height).
	- line_length_ratio: The ratio of the line length to the inset size.
	import textwrap
	from sklearn.preprocessing import MinMaxScaler


	df['wrapped_label'] = [textwrap.fill(label, width=20) for label in df['label']]

	# Set the font-size range:
	scaler = MinMaxScaler(feature_range=(3,28))

	#set the rescaling-value