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data_preparation.py
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/
data_preparation.py
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from PIL import Image, ImageDraw, ImageFont
import numpy as np
def show_column_position(dat):
font = ImageFont.truetype("Arial.ttf", size=20)
background = np.array([[0 for _ in range(255)] for _ in range(255)], dtype='uint8')
image = Image.fromarray(background)
draw = ImageDraw.Draw(image)
draw.text((32, 32), str(dat[0][:12]), fill='white', font=font)
draw.text((32, 160), str(dat[1][:11]), fill='white', font=font)
draw.text((160, 32), str(dat[2][:11]), fill='white', font=font)
draw.text((160, 160), str(dat[3][:11]), fill='white', font=font)
rgb = [np.array(image, dtype='uint8') for _ in range(3)]
return np.array(rgb)
def show_column_position_another(dat):
font = ImageFont.truetype("Arial.ttf", size=20)
background = np.array([[0 for _ in range(255)] for _ in range(255)], dtype='uint8')
image = Image.fromarray(background)
draw = ImageDraw.Draw(image)
draw.text((32, 32), str(dat[2][:12]), fill='white', font=font)
draw.text((32, 160), str(dat[3][:11]), fill='white', font=font)
draw.text((160, 32), str(dat[1][:11]), fill='white', font=font)
draw.text((160, 160), str(dat[0][:11]), fill='white', font=font)
rgb = [np.array(image, dtype='uint8') for _ in range(3)]
return np.array(rgb)
def data_to_image(data):
data_images = []
font = ImageFont.truetype("Arial.ttf", size=50)
for dat in data:
background = np.array([[0 for _ in range(255)] for _ in range(255)], dtype='uint8')
image = Image.fromarray(background)
draw = ImageDraw.Draw(image)
draw.text((32, 32), str(dat[0]), fill='white', font=font)
draw.text((32, 160), str(dat[1]), fill='white', font=font)
draw.text((160, 32), str(dat[2]), fill='white', font=font)
draw.text((160, 160), str(dat[3]), fill='white', font=font)
rgb = [np.array(image, dtype='uint8') for _ in range(3)]
data_images.append(rgb)
return np.array(data_images) / 255
def data_to_image_another(data):
data_images = []
font = ImageFont.truetype("Arial.ttf", size=50)
for dat in data:
background = np.array([[0 for _ in range(255)] for _ in range(255)], dtype='uint8')
image = Image.fromarray(background)
draw = ImageDraw.Draw(image)
draw.text((32, 32), str(dat[2]), fill='white', font=font)
draw.text((32, 160), str(dat[3]), fill='white', font=font)
draw.text((160, 32), str(dat[1]), fill='white', font=font)
draw.text((160, 160), str(dat[0]), fill='white', font=font)
rgb = [np.array(image, dtype='uint8') for _ in range(3)]
data_images.append(rgb)
return np.array(data_images) / 255
if __name__ == '__main__':
from sklearn.datasets import load_iris
data = load_iris()
img_array = data_to_image(data.data)
img = Image.fromarray(img_array)
img.show()