Image 1 of 1: ‘'data' is a 3 by 3 numpy array containing row 0: ['A', 'B', 'C'], row 1: ['D', 'E', 'F'], and row 2: ['G', 'H', 'I']. Starting in the upper left hand corner, data[0, 0] = 'A', data[0, 1] = 'B', data[0, 2] = 'C', data[1, 0] = 'D', data[1, 1] = 'E', data[1, 2] = 'F', data[2, 0] = 'G', data[2, 1] = 'H', and data[2, 2] = 'I', in the bottom right hand corner.’
Figure 2
Image 1 of 1: ‘Per-year maximum height is computed row-wise across all columns using numpy.max(data, axis=1). Per-year average wave height is computed column-wise across all rows using numpy.mean(data, axis=0).’
Image 1 of 1: ‘Heat map representing the wave height from the first 50 days. Each cell is colored by value along a color gradient from blue to yellow.’
Figure 2
Image 1 of 1: ‘A line graph showing the monthly average wave height over a 37 year period.’
Figure 3
Image 1 of 1: ‘A line graph showing the maximum wave height per month over a 37 year period.’
Figure 4
Image 1 of 1: ‘A line graph showing the minimum wave height per month over a 37 year period.’
Figure 5
Image 1 of 1: ‘Three line graphs showing the daily average, maximum and minimum wave-heights over a 446-day period.’
Figure 6
Image 1 of 1: ‘Three plots showing the average, maximum and minimum waveheights plotted on a single pair of axes.’
Figure 7
Image 1 of 1: ‘Global surface waveheight’
Figure 8
Image 1 of 1: ‘Global surface waveheight with a colourbar’
Image 1 of 1: ‘x is represented as a pepper shaker containing several packets of pepper. [x[0]] is represented as a pepper shaker containing a single packet of pepper. x[0] is represented as a single packet of pepper. x[0][0] is represented as single grain of pepper. Adapted from @hadleywickham.’