In [10]:

    

import numpy as np
import matplotlib.pyplot as plt
% matplotlib inline

data=np.loadtxt(fname='inflammation-01.csv', delimiter=',')

image  = plt.imshow(data)
plt.show()

ave_inflamation = np.mean(data, axis=0)
ave_plot = plt.plot(ave_inflammation)
plt.show()

data_pd=(data[0,:])
plot_d=plt.plot(data_pd)
plt.show()


    

In [20]:

    

import numpy as np
import matplotlib.pyplot as plt
import glob

print('running...')

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

x,y=0,0

ave_patient_infl=[]
ave_infla_per_day=[]

for f in filenames:
    data=np.loadtxt(fname=f,delimiter=',')
    
    ave_infla_per_day[x]= np.mean(data[:,x])#Top->Down starts column 0
    ave_patient_infl[x]= np.mean(data[x,:])#Left->Right starts row 0
    
    y=y+1
    
    print("Patient", y,"Average inflammation Day:",y,ave_infla_per_day[x])
    print("Day",y,"Average inflammation:",ave_patient_infl[x])
    x=x+1


    

    




running...






    




---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-20-c2cfe4c0e05d> in <module>()
     16     data=np.loadtxt(fname=f,delimiter=',')
     17 
---> 18     ave_infla_per_day[x]= np.mean(data[:,x])#Top->Down starts column 0
     19     ave_patient_infl[x]= np.mean(data[x,:])#Left->Right starts row 0
     20 

IndexError: list assignment index out of range

In [12]:

    

!ls


    

    




data_analysis.py       inflammation-04.csv  inflammation-09.csv  small-02.csv
data-inflamtion.ipynb  inflammation-05.csv  inflammation-10.csv  small-03.csv
inflammation-01.csv    inflammation-06.csv  inflammation-11.csv
inflammation-02.csv    inflammation-07.csv  inflammation-12.csv
inflammation-03.csv    inflammation-08.csv  small-01.csv

In [11]:

    

import numpy, glob
import matplotlib.pyplot
% matplotlib inline

filenames = sorted(glob.glob('data/inflammation*.csv'))
filenames = filenames[0:3]
for f in filenames:
    print(f)

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

    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(numpy.mean(data, axis=0))

    axes2.set_ylabel('max')
    axes2.plot(numpy.max(data, axis=0))

    axes3.set_ylabel('min')
    axes3.plot(numpy.min(data, axis=0))

    fig.tight_layout()
    matplotlib.pyplot.show()


    

In [ ]: