如何创建具有 3 个不同 y 轴的 Seaborn 线图？

Question

I am trying to plot 3 different scales on the y-axis with 3 different sets of data. I am able to plot the 3rd line but the y2 and y3 axis are together.

I need to separate these two axes so that they are readable.

Can this be done with Seaborn Library?

This is the code:

 import datetime import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt # Ingest the data url = 'https://covid.ourworldindata.org/data/owid-covid-data.csv' covid_data = pd.read_csv(url).set_index("location") # Clean the data df = covid_data.copy() df.date = pd.to_datetime(df.date) df = df.loc[df['date'] > (datetime.datetime(2021, 4, 30)), :] df = df[df.index.isin(['United States'])] # Select the features of interest new_cases = 'new_cases_smoothed_per_million' patients = 'hosp_patients_per_million' vaccinated = 'people_fully_vaccinated_per_hundred' bedsT = 'hospital_beds_per_thousand' bedsM = 'hospital_beds_per_million' beds_used = 'hospital_beds_used' df = df.loc[:, ['date', new_cases, patients, vaccinated, bedsT]] df[bedsM] = df[bedsT] * 1000 df[beds_used]=df.apply(lambda x: x[patients] / x[bedsM], axis = 1) # Visualise the data y1_color = "red" y2_color = "green" y3_color = "blue" x1_axis = "date" y1_axis = new_cases y2_axis = vaccinated y3_axis = beds_used x1 = df[x1_axis] y1 = df[y1_axis] y2 = df[y2_axis] y3 = df[y3_axis] y2_limit = df[y2_axis].max() fig, ax1 = plt.subplots(figsize=(16, 6)) ax1.set_title("United States") ax2 = ax1.twinx() ax3 = ax1.twinx() ax2.set(ylim=(0, y2_limit)) g1 = sns.lineplot(data = df, x = x1, y = y1, ax = ax1, color = y1_color) # plots the first set g2 = sns.lineplot(data = df, x = x1, y = y2, ax = ax2, color = y2_color) # plots the second set g3 = sns.lineplot(data = df, x = x1, y = y3, ax = ax3, color = y3_color) # plots the third set

Answer 1

I modified the code with your data, referring to the subgraph in the official sample. You can find the reference here .

from mpl_toolkits.axes_grid1 import host_subplot
from mpl_toolkits import axisartist

# fig, ax1 = plt.subplots(figsize=(16, 6))
host = host_subplot(111, axes_class=axisartist.Axes) # update
plt.rcParams["figure.figsize"] = (16, 6) # update

ax1.set_title("United States")
# ax1 = host.twinx()
ax2 = host.twinx() # update
ax3 = host.twinx() # update

ax3.axis["right"] = ax3.new_fixed_axis(loc="right", offset=(50, 0)) # update

ax1.axis["right"].toggle(all=True) # update
ax2.axis["right"].toggle(all=True) # update

ax2.set(ylim=(0, y2_limit))
sns.lineplot(data = df, x = x1, y = y1, ax = host, color = y1_color) # plots the first set ax = ax1,
sns.lineplot(data = df, x = x1, y = y2, ax = ax2, color = y2_color) # plots the second set ax = ax2,
sns.lineplot(data = df, x = x1, y = y3, ax = ax3, color = y3_color) # plots the third set ax = ax3, 

plt.show()