import numpy as np
from vector import vector, plot_peaks
import scipy.signal

print('Detect peaks without any filters (maxima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks without any filters (minima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.less
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks with order (distance) filter.')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater,
    order=2
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    mpd=2, algorithm='scipy.signal.argrelmax'
)

import numpy as np
from vector import vector, plot_peaks
import scipy.signal

print('Detect peaks without any filters (maxima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater
)
print('Peaks are: %s' % (indexes[0]))
# To get number of peaks:
# print("{} peaks".format(len(indexes[0])))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks without any filters (minima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.less
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks with order (distance) filter.')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater,
    order=2
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    mpd=2, algorithm='scipy.signal.argrelmax'
)

Add eg to get number of peaks
Add eg to get number of peaks

  import numpy as np
  from vector import vector, plot_peaks
  import scipy.signal
  
  print('Detect peaks without any filters (maxima).')
  indexes = scipy.signal.argrelextrema(
      np.array(vector),
      comparator=np.greater
  )
  print('Peaks are: %s' % (indexes[0]))
+ # To get number of peaks:
+ # print("{} peaks".format(len(indexes[0])))
  plot_peaks(
      np.array(vector),
      indexes[0],
      algorithm='scipy.signal.argrelmax'
  )
  
  print('Detect peaks without any filters (minima).')
  indexes = scipy.signal.argrelextrema(
      np.array(vector),
      comparator=np.less
  )
  print('Peaks are: %s' % (indexes[0]))
  plot_peaks(
      np.array(vector),
      indexes[0],
      algorithm='scipy.signal.argrelmax'
  )
  
  print('Detect peaks with order (distance) filter.')
  indexes = scipy.signal.argrelextrema(
      np.array(vector),
      comparator=np.greater,
      order=2
  )
  print('Peaks are: %s' % (indexes[0]))
  plot_peaks(
      np.array(vector),
      indexes[0],
      mpd=2, algorithm='scipy.signal.argrelmax'
  )
  
Add eg to get number of peaks
## Code Before:
import numpy as np
from vector import vector, plot_peaks
import scipy.signal

print('Detect peaks without any filters (maxima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks without any filters (minima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.less
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks with order (distance) filter.')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater,
    order=2
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    mpd=2, algorithm='scipy.signal.argrelmax'
)

## Instruction:
Add eg to get number of peaks
## Code After:
import numpy as np
from vector import vector, plot_peaks
import scipy.signal

print('Detect peaks without any filters (maxima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater
)
print('Peaks are: %s' % (indexes[0]))
# To get number of peaks:
# print("{} peaks".format(len(indexes[0])))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks without any filters (minima).')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.less
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    algorithm='scipy.signal.argrelmax'
)

print('Detect peaks with order (distance) filter.')
indexes = scipy.signal.argrelextrema(
    np.array(vector),
    comparator=np.greater,
    order=2
)
print('Peaks are: %s' % (indexes[0]))
plot_peaks(
    np.array(vector),
    indexes[0],
    mpd=2, algorithm='scipy.signal.argrelmax'
)
