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 How to plot multiple scatter plots in seaborn vikola Unladen Swallow Posts: 2 Threads: 1 Joined: Jul 2019 Reputation: 0 Likes received: 0 #1 Jul-13-2019, 11:17 PM Hi Python users, I'm a beginner and wondering if anyone can help with advice on how to plot multiple scatterplots using a loop ```import pandas as pd import matplotlib as plt import seaborn as sns, numpy as np import matplotlib.pyplot as plt data = pd.read_stata('theta_se_matrix.dta') sns.pairplot(data, kind="scatter", diag_kind="kde", vars=["theta1", "theta2", "theta3", "theta4", "theta5", "theta6"], hue="method") plt.show() ```I want to plot separate graphs for each category of "method' Thanks scidam Posts: 541 Threads: 1 Joined: Mar 2018 Reputation: 71 Likes received: 76 #2 Jul-14-2019, 12:34 AM Unfortunately, I don't understand the question. line 6 in your code plots a 6x6 grid of axes with probability density estimations on the main diagonal of the grid. hue parameter just makes all graphs colored. If you need to customize pairplot function, you can use PairGrid class . vikola Unladen Swallow Posts: 2 Threads: 1 Joined: Jul 2019 Reputation: 0 Likes received: 0 #3 Jul-14-2019, 10:30 AM (This post was last modified: Jul-14-2019, 10:30 AM by vikola. Edited 2 times in total.) The scatter graph is colored based on the hue parameter, but I want separate graphs for each category of the hue parameter. in my Stata code, what I wanted to graph in Python is implemented as; forv i=2/7 { foreach s in theta se { graph matrix 's'1 's'2 's'3 's'4 's'5 's'6 if method=='i' } } Any help on how to implement in Python will be appreciated « Next Oldest | Next Newest »

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