In [2]:

    

import numpy
import matplotlib.pyplot
%matplotlib inline


    

In [3]:

    

data = numpy.loadtxt (fname ='data/weather-01.csv', delimiter = ',')


    

In [16]:

    

# Create a wide figure to hold the subplots
fig = matplotlib.pyplot.figure (figsize=(10.0, 3.0))
# Create diferrent boxis with in the main frame "place holders for plots"
subplot1 = fig.add_subplot (1,3,1)
subplot2 = fig.add_subplot (1,3,2)
subplot3 = fig.add_subplot (1,3,3)

subplot1.set_ylabel ('average temperature')
subplot1.plot (numpy.mean (data, axis=0))

subplot2.set_ylabel ('minimum')
subplot2.plot (numpy.min (data, axis=0))

subplot3.set_ylabel ('maximum')
subplot3.plot (numpy.max (data, axis=0))

#subplot1.set_xlabel ('Station')
#subplot1.plot (numpy.mean (data, axis=1))

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


    

In [17]:

    

word = "notebook"
print (word[4])


    

    




b

In [18]:

    

for char in word:
    print (char)


    

    




n
o
t
e
b
o
o
k

In [19]:

    

import glob


    

In [20]:

    

print (glob.glob ('data/weather*.csv'))


    

    




['data/weather-01.csv', 'data/weather-02.csv', 'data/weather-03.csv', 'data/weather-04.csv', 'data/weather-05.csv', 'data/weather-06.csv', 'data/weather-07.csv', 'data/weather-08.csv', 'data/weather-09.csv', 'data/weather-10.csv', 'data/weather-11.csv', 'data/weather-12.csv']

In [32]:

    

filenames = sorted(glob.glob ('data/weather*.csv'))
filenames = filenames[0:3]

for f in filenames:
    print (f)
    
    data = numpy.loadtxt (fname=f, delimiter=',')
    
    if numpy.max (data, axis = 0)[0] == 0 and numpy.max (data, axis=0)[20] == 20:
        print ("Suspicios looking data maxima")
        
    elif numpy.sum (numpy.min(data, axis=0)) == 0:
        print ("Minima add up to zero")
    else:
        print ("Data looks OK")
    
    # Create a wide figure to hold the subplots
    fig = matplotlib.pyplot.figure (figsize=(10.0, 3.0))
    
    # Create diferrent boxis with in the main frame "place holders for plots"
    subplot1 = fig.add_subplot (1,3,1)
    subplot2 = fig.add_subplot (1,3,2)
    subplot3 = fig.add_subplot (1,3,3)

    subplot1.set_ylabel ('average temperature')
    subplot1.plot (numpy.mean (data, axis=0))

    subplot2.set_ylabel ('minimum')
    subplot2.plot (numpy.min (data, axis=0))

    subplot3.set_ylabel ('maximum')
    subplot3.plot (numpy.max (data, axis=0))

#subplot1.set_xlabel ('Station')
#subplot1.plot (numpy.mean (data, axis=1))

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


    

    




data/weather-01.csv
Suspicios looking data maxima






    













    




data/weather-02.csv
Suspicios looking data maxima






    













    




data/weather-03.csv
Minima add up to zero






    

In [24]:

    

num = 107
if num > 100:
    print ('Greater')
else:
    print ('Not greater')
    print ('Done')


    

    




Greater

In [25]:

    

## Ojo el Done antes y despues
num = 107
if num > 100:
    print ('Greater')
else:
    print ('Not greater')
    
print ('Done')


    

    




Greater
Done

In [28]:

    

num = -3
if num > 0:
     print (num, "is positive")
elif num == 0:
    print (num, "is zero")
else:
    print (num, "is negative")


    

    




-3 is negative

In [33]:

    

def fahr_to_kelvin(temp):
    return ((temp - 32)*(5/9) + 273.15)


    

In [35]:

    

fahr_to_kelvin (20)


    

    
Out[35]:





266.4833333333333

In [36]:

    

print ("Freezing point of water:", fahr_to_kelvin(32))


    

    




Freezing point of water: 273.15

In [37]:

    

print ('Boiling point of water:', fahr_to_kelvin(212))


    

    




Boiling point of water: 373.15

In [38]:

    

def analyse (filename):
    data = numpy.loadtxt (fname=filename, delimiter=',')
    
    # Create a wide figure to hold the subplots
    fig = matplotlib.pyplot.figure (figsize=(10.0, 3.0))
    
    # Create diferrent boxis with in the main frame "place holders for plots"
    subplot1 = fig.add_subplot (1,3,1)
    subplot2 = fig.add_subplot (1,3,2)
    subplot3 = fig.add_subplot (1,3,3)

    subplot1.set_ylabel ('average temperature')
    subplot1.plot (numpy.mean (data, axis=0))

    subplot2.set_ylabel ('minimum')
    subplot2.plot (numpy.min (data, axis=0))

    subplot3.set_ylabel ('maximum')
    subplot3.plot (numpy.max (data, axis=0))

#subplot1.set_xlabel ('Station')
#subplot1.plot (numpy.mean (data, axis=1))

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


    

In [39]:

    

def detect_problems (filename):
    data = numpy.loadtxt (fname=filename, delimiter=',')
    
    if numpy.max (data, axis = 0)[0] == 0 and numpy.max (data, axis=0)[20] == 20:
        print ("Suspicios looking data maxima")
        
    elif numpy.sum (numpy.min(data, axis=0)) == 0:
        print ("Minima add up to zero")
    else:
        print ("Data looks OK")


    

In [41]:

    

for f in filenames [0:5]:
    print (f)
    analyse (f)
    detect_problems (f)


    

    




data/weather-01.csv






    













    




Suspicios looking data maxima
data/weather-02.csv






    













    




Suspicios looking data maxima
data/weather-03.csv






    













    




Minima add up to zero

In [ ]: