问题
I am trying to plot with variable x with respect to another y and add a colormap based on the values of another variable z
So the plot should be similar to this
My try
import numpy as np
import pandas as pd
import seaborn as sns
import random
import matplotlib.pyplot as plt
import matplotlib.cm as cm
x=np.random.randint(0,20,30)
y=np.random.randint(-5,5,30)
z=np.random.randint(-2,10,30)
df=pd.DataFrame(data={'A':x,'B':y,'C':z})
points = plt.scatter(df['A'],df['B'],cmap="jet")
m = cm.ScalarMappable(cmap=cm.jet)
m.set_array(df['C'])
plt.colorbar(points)
sns.lmplot('A', 'B', data=df, hue='C', fit_reg=False)
TypeError: You must first set_array for mappable
I am mixing matplotlib and seaborn as in seaborn I can not use the colormap 'jet' But any alternative aproaches to get the same graph are welcome
回答1:
How about this (use c=df.C in the scatter command):
points = plt.scatter(df.A, df.B, c=df.C,cmap="jet", lw=0)
plt.colorbar(points)
来源：https://stackoverflow.com/questions/50527658/scatter-plot-of-2-variables-with-colorbar-based-on-third-variable