Scatter Matrix (pair plot) using other Python Packages. DataFrame.plot.scatter (self, x, y, s=None, c=None, **kwds) [source] ¶. The coordinates of each point are defined by two dataframe columns and filled circles are used to represent each point. C int or str, optional. pandas.plotting.radviz¶ pandas.plotting. seaborn.scatterplot — seaborn 0.11.2 documentation loc [df[' col1 '] == some_value, ' col2 ']. x=['A','B','B','C','A','B'] y=[15,30,25,18,22,13] # Function to map the colors as a list from the input list of x variables def pltcolor(lst): cols=[] for l in lst: if l=='A': cols.append('red') elif l=='B': cols.append('blue') else: cols.append('green') return cols # Create the colors list using the . Color can be continuous as follows, or discrete/categorical as above. line for line plots. It's better to just use plot for discrete categories like this. pandas scatter plot color by column In Matplotlib's scatter () function, we can color the data points by a variable using "c" argument. Django ; Flask ; More "Kinda" Related Python Answers View All Python Answers » matplotlib change thickness of line; plotly line plot with title and axis title; install matplotlib conda; df.plot.scatter(x='width' , y='length' , s=500 , c='green' , alpha=0.4) 关于参数c. Chart Visualization — pandas 1.4.2 documentation The column label or position for x points. Scatterplot of preTestScore and postTestScore with the size = 300 and the color determined by sex. Now lets improve the plot a little bit. It's quite simple to convert static pandas plots to interactive. Add Colors to Scatterplot by a Variable in Matplotlib. If there is only a single column to be plotted, then only the first color from the color list will be used. import numpy as np import pandas as pd import matplotlib.pyplot as plt %matplotlib inline So animation = 1 = yellow animation = 0 = black or something similiar I tried doing the following: Instead of displaying dots of uniform size and color, the dots somehow vary in size and color, adding new data dimensions.