Python Init();

dt = Open( "$SAMPLE_DATA/Big Class.jmp", invisible );

Python Send( dt ); // send the opened data table represented by dt to Python

Python Submit( "print( dt )" );

Python Term();

			name  			age 		sex  		height  			weight

0       KATIE   12   F      59      95

1      LOUISE   12   F      61     123

2        JANE   12   F      55      74

...

Python Init();

Python Submit("\[

import numpy as np

import pandas as pd

# Generate basic series

ss = pd.Series(np.random.randn(5), index=['a', 'b', 'c', 'd', 'e'])

print(ss)

sn = pd.Series(np.random.randn(5))

print(sn)

# Generate Data Frames from Series

s1 = pd.Series(np.random.randn(5), index=['a', 'b', 'c', 'd', 'e'])

print(s1)

dfs1 = pd.DataFrame(s1)

print(dfs1)

d1 = {'one' : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),

      'two' : pd.Series([1., 2., 3., 4.], index=['a', 'b', 'c', 'd'])}

print(d1)

dfd1 = pd.DataFrame(d1)

print(dfd1)

d2 = {'one' : [1., 2., 3., 4.],

      'two' : [4., 3., 2., 1.]}

print(d2)

dfd2 = pd.DataFrame(d2)

print(dfd2)

]\"

);

ss = Python Get( ss );

Show( ss );

sn = Python Get( sn );

Show( sn );

dfs1 = Python Get( dfs1 );

dfs1 << New Data View;

dfd1 = Python Get( dfd1 );

dfd1 << New Data View;

dfd2 = Python Get( dfd2 );

dfd2 << New Data View;

Python Term();

a   -0.384649

b    0.455864

c   -2.214405

d    0.260955

e    1.342286

dtype: float64

...

Python Init();

Python Submit("\[

import matplotlib.pyplot as plt

plt.plot([1, 2, 3, 4])

plt.ylabel('some numbers')

plt.show(block=False)

]\"

);

picture = Python Get Graphics( "png" );

New Window( "Picture", picture );

Wait( 10 );

Python Term();

Python Init();

v = [9 8 7, 6 5 4, 3 2 1];

m = [1 2 3, 4 5 6, 7 8 9];

ml = Python Execute( {v, m}, {a}, "\[

import numpy as np

a = np.multiply(v, m) # matrix product

]\" );

Show( a );

Python Term();

a =

[	9 16 21,

	24 25 24,

	21 16 9];