Welcome to the Pylustrator Documentation¶
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 # import matplotlib and numpy as usual import matplotlib.pyplot as plt import numpy as np # now import pylustrator import pylustrator # activate pylustrator pylustrator . start () # build plots as you normally would np . random . seed ( 1 ) t = np . arange ( 0.0 , 2 , 0.001 ) y = 2 * np . sin ( np . pi * t ) a , b = np . random . normal ( loc = ( 5. , 3. ), scale = ( 2. , 4. ), size = ( 100 , 2 )) . T b += a plt . figure ( 1 ) plt . subplot ( 131 ) plt . plot ( t , y ) plt . subplot ( 132 ) plt . plot ( a , b , "o" ) plt . subplot ( 133 ) plt . bar ( 0 , np . mean ( a )) plt . bar ( 1 , np . mean ( b )) # show the plot in a pylustrator window plt . show ()
# import matplotlib and numpy as usual import matplotlib.pyplot as plt import numpy as np # now import pylustrator import pylustrator # activate pylustrator pylustrator . start () # build plots as you normally would np . random . seed ( 1 ) t = np . arange ( 0.0 , 2 , 0.001 ) y = 2 * np . sin ( np . pi * t ) a , b = np . random . normal ( loc = ( 5. , 3. ), scale = ( 2. , 4. ), size = ( 100 , 2 )) . T b += a plt . figure ( 1 ) plt . subplot ( 131 ) plt . plot ( t , y ) plt . subplot ( 132 ) plt . plot ( a , b , "o" ) plt . subplot ( 133 ) plt . bar ( 0 , np . mean ( a )) plt . bar ( 1 , np . mean ( b )) # show the plot in a pylustrator window plt . show ()
