plt.scatter plot怎么让不同的类别有不同的颜色

可以用seaborn和matplotlib一起

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

N = 100
genders= ['Female', 'Male']
df = pd.DataFrame({
    'Height': np.random.uniform(low=130, high=200, size=N),
    'Weight': np.random.uniform(low=40, high=100, size=N),
    'Gender': np.random.choice(genders, size=N)
})

fg = sns.FacetGrid(data=df, hue='Gender', hue_order=genders)
fg.map(plt.scatter, 'Weight', 'Height').add_legend()
plt.show()

import matplotlib.pyplot as plt
plt.style.use('ggplot')
import pandas as pd
import numpy as np

#随机生成两个dataframe
d1 = pd.DataFrame(columns=['x', 'y'])
d1['x'] = np.random.normal(0, 1, 100)
d1['y'] = np.random.normal(0, 1, 100)
d2 = pd.DataFrame(columns=['x', 'y'])
d2['x'] = np.random.normal(2, 1, 100)
d2['y'] = np.random.normal(2, 1, 100)

#分别画出scatter图，但是设置不同的颜色
plt.scatter(d1['x'], d1['y'], color='blue', label='d1 points')
plt.scatter(d2['x'], d2['y'], color='green', label='d2 points')

#设置图例
plt.legend(loc=(1, 0))

#显示图片
plt.show()