import numpy as np
import matplotlib.pyplot as plt
import os
from scipy.special import fresnel
#conda install -c anaconda seaborn
import seaborn as sns
sns.set_theme(style="whitegrid")
def main():
# Load the example diamonds dataset
diamonds = sns.load_dataset("diamonds")
# Draw a scatter plot while assigning point colors and sizes to different
# variables in the dataset
f, ax = plt.subplots(figsize=(6.5, 6.5))
sns.despine(f, left=True, bottom=True)
clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]
sns.scatterplot(x="carat", y="price",
hue="clarity", size="depth",
palette="ch:r=-.2,d=.3_r",
hue_order=clarity_ranking,
sizes=(1, 8), linewidth=0,
data=diamonds, ax=ax)
plt.savefig("ex373.png", dpi=200)
plt.show()
if __name__ == '__main__':
main()
Like this:
Like Loading...
Related
Recent Comments