I'm new to data science. I wrote this script for plotting all different kinds of iris data set scatter plot. trying not to plot something with itself . how can I optimize my code ?

'''python

    from sklearn.datasets import load_iris
    import matplotlib.pyplot as plt
    import numpy as np

    import pandas as pd

    iris=load_iris()

    list1=[]

    fig, ax =plt.subplots(nrows=3,ncols=2,figsize=(10,10))

for ii in range(4):
  for jj in range(1,4):
    if ii==jj:
      break
    if ii*jj not in list1[1::2]:
      list1.extend((ii+jj,ii*jj))
    elif ii+jj in list1[::2]:
      break
    a=ii
    b=jj
    x_index=ii
    y_index=jj
    colors=['blue','red','green']
    if ii==0:
      b=b-1
    elif jj==1:
      a=a-2
      b,a=a,b
    elif ii==3:
      a=a-1
      b=b-1
      a,b=b,a
    for label , color in zip(range(len(iris.target_names)),colors):
      ax[b,a].scatter(iris.data[iris.target==label,x_index] 
              , iris.data[iris.target==label,y_index]
              , label=iris.target_names[label]
              , color=color)

    ax[b,a].set_xlabel(iris.feature_names[x_index])
    ax[b,a].set_ylabel(iris.feature_names[y_index])
    ax[b,a].legend(loc="upper right")
    fig.tight_layout()
    fig.show()

'''

this is the output

how would you write it if it was you?

I appreciate any help.