matplotlib example swc-subplots all-in-one (snippet)

Python matplotlib example 'swc-subplots all-in-one'

Modules used in program:

import glob
import matplotlib.pyplot
import numpy

python swc-subplots all-in-one

Python matplotlib example: swc-subplots all-in-one

import numpy
import matplotlib.pyplot
import glob

filenames = glob.glob('inflammation*.csv')
#filenames = filenames[0:3]

fig = matplotlib.pyplot.figure(figsize=(10.0, 4.0))

axes1 = fig.add_subplot(1, 4, 1)
axes2 = fig.add_subplot(1, 4, 2)
axes3 = fig.add_subplot(1, 4, 3)

axes1.set_ylabel('average')
axes2.set_ylabel('max')
axes3.set_ylabel('min')

for f in filenames:
    print(f)

    data = numpy.loadtxt(fname=f, delimiter=',')

    if data.max(axis=0)[0] == 0 and data.max(axis=0)[20] == 20:
        print('Suspicious looking maxima!')
    elif data.min(axis=0).sum() == 0:
        print('Minima add up to zero!')
    else:
        print('Seems OK!')

    #fig = matplotlib.pyplot.figure(figsize=(10.0, 3.0))

    #axes1 = fig.add_subplot(1, 3, 1)
    #axes2 = fig.add_subplot(1, 3, 2)
    #axes3 = fig.add_subplot(1, 3, 3)

    #axes1.set_ylabel('average')
    axes1.plot(data.mean(axis=0), label=f)

    #axes2.set_ylabel('max')
    axes2.plot(data.max(axis=0), label=f)

    #axes3.set_ylabel('min')
    axes3.plot(data.min(axis=0), label=f)

    #fig.tight_layout()

#matplotlib.pyplot.legend()
fig.tight_layout()
matplotlib.pyplot.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
matplotlib.pyplot.show(fig)

Python links

Learn Python: https://pythonbasics.org/
Python Tutorial: https://pythonprogramminglanguage.com