<｜begin▁of▁sentence｜>### Instruction:
As a medical transcriptionist, you're accustomed to converting spoken medical information into accurate written records. Let's say you're transcribing a conversation between healthcare professionals discussing the diagnosis and treatment of a patient's skin condition. During the discussion, the dermatologist mentions the RGB color values of a skin lesion they observed, indicating the red, green, and blue components as decimal numbers between 0 and 1.

In this scenario, you're tasked with integrating this RGB color data into the transcript accurately. You need to capture the RGB color values provided by the dermatologist and ensure they are correctly documented. Later, if the patient's case requires further analysis or documentation, this RGB data may need to be converted to its equivalent HSV color representation. To do this, you may utilize appropriate software tools or libraries, such as the "colorsys" module in Python, which provides functions for converting between RGB and HSV color spaces. This conversion will allow for a more comprehensive understanding and description of the skin lesion's color characteristics in the medical record.
### Response:
import matplotlib.colors as colors

# Define a color in RGB
rgb_color = (0.2, 0.4, 0.6)

# Convert to HSV
hsv_color = colors.rgb_to_hsv(rgb_color)

print('HSV color:', hsv_color)
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