multipanel plots in python matplotlib
how to make 3X1, 2X1 etc multipanel plots in matplotlib. Here is the code I used
-*- coding: utf-8 -*-
"""
Created on Thu May 2 20:08:48 2019
@author: tsparks
"""
#grab libraries
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
import matplotlib as mpl
mpl.rcParams['pdf.fonttype'] = 42
#grab dataset 1
filename = r'example.csv'
df = pd.read_csv(filename)
#pull data from CSV
x_data = df['x'].dropna()
y_data = df['y'].dropna()
x_error = df['x error'].dropna()
y_error = df['y error'].dropna()
#Set the limits of the plot for dataset1
xmin1=0
xmax1=16
ymin1=0
ymax1=60
#grab dataset 2
filename = r'example2.csv'
df = pd.read_csv(filename)
#pull data from CSV
x_data2 = df['x'].dropna()
y_data2 = df['y'].dropna()
x_error2 = df['x error'].dropna()
y_error2 = df['y error'].dropna()
#Set the limits of the plot for dataset1
xmin2=0
xmax2=16
ymin2=-5
ymax2=5
#Generate some nice colors
seshadri = ['#c3121e', '#0348a1', '#ffb01c', '#027608', '#0193b0', '#9c5300', '#949c01', '#7104b5']
0sangre, 1neptune, 2pumpkin, 3clover, 4denim, 5cocoa, 6cumin, 7berry
#Prepare multipanel plot
fig = plt.figure(1, figsize=(5, 5))
gs = gridspec.GridSpec(4,3)
gs.update(wspace=0.25, hspace=0.45)
#Generate first panel
xtr_subsplot = fig.add_subplot(gs[0:2,0:3])
plt.errorbar(x_data, y_data, xerr=x_error, yerr=y_error, label='data', linestyle='none', marker='o', color=seshadri[1], markerfacecolor='none', markersize=6) # plot data
plt.tick_params(direction='in',right=True, top=True)
plt.tick_params(labelbottom=True, labeltop=False, labelright=False, labelleft=True)
xticks = np.arange(0,(xmax1+1),(xmax1/4))
yticks = np.arange(0,(ymax1+1),(ymax1/3))
plt.minorticks_on()
plt.tick_params(direction='in',which='minor', length=5, bottom=True, top=True, left=True, right=True)
plt.tick_params(direction='in',which='major', length=10, bottom=True, top=True, left=True, right=True)
plt.xticks(xticks)
plt.yticks(yticks)
plt.legend()
plt.xlim(xmin1,xmax1)
plt.ylabel('y label (units)')
#generate second panel
xtr_subsplot = fig.add_subplot(gs[2:4,0:3])
plt.errorbar(x_data2, y_data2, xerr=x_error2, yerr=y_error2, label='data', linestyle='none', marker='o', color=seshadri[2], markerfacecolor='none', markersize=6) # plot data
plt.tick_params(direction='in',right=True, top=True)
plt.tick_params(labelbottom=True, labeltop=False, labelright=False, labelleft=True)
xticks = np.arange(0,(xmax2+1),(xmax2/4))
yticks = np.arange(-6,6.1,3)
plt.minorticks_on()
plt.tick_params(direction='in',which='minor', length=5, bottom=True, top=True, left=True, right=True)
plt.tick_params(direction='in',which='major', length=10, bottom=True, top=True, left=True, right=True)
plt.xticks(xticks)
plt.yticks(yticks)
plt.legend()
plt.xlim(xmin2,xmax2)
plt.xlabel('x label (units)')
plt.ylabel('y label (units)')
#Export figure
plt.savefig('multi_panel_error.pdf')
plt.savefig('multi_panel_error.png', dpi=300,bbox_inches="tight")
On this page of the site you can watch the video online multipanel plots in python matplotlib with a duration of hours minute second in good quality, which was uploaded by the user Taylor Sparks 16 September 2019, share the link with friends and acquaintances, this video has already been watched 1,439 times on youtube and it was liked by 20 viewers. Enjoy your viewing!
