pyCode(matplotlib).py

# https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html
# https://matplotlib.org/stable/gallery/shapes_and_collections/scatter.html#sphx-glr-gallery-shapes-and-collections-scatter-py
# https://kanoki.org/2020/08/30/matplotlib-scatter-plot-color-by-category-in-python/
# https://seaborn.pydata.org/tutorial/color_palettes.html
    
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

plt.figure(figsize=(10, 10), dpi=100)

file = pd.read_csv("cars-sample.csv")

plotpic = sns.scatterplot(
    x = "Weight", 
    y = "MPG", 
    size = "Weight", 
    hue = "Manufacturer",
    marker = '^',
    palette = "colorblind",
    data = file,
    alpha = 0.5,
    sizes = (20, 100)
)

# change ticks from intervals of 5 to interval of 10 for y axis
plt.yticks([10,20,30,40])
plt.ylabel("MPG", fontsize=16)

# change ticks from intervals of 500 to interval of 1000 for x axis
plt.xticks([2000,3000,4000,5000])
plt.xlabel("Weight", fontsize=16)

print(plotpic)