iterate through slive of list

slice_list

feats = ['post', 'odds']
i_start = 0
i_end = 4
total_size = len(classes)

print(classes[i_start:i_end])

while i_start < total_size:
    
    print(pclass)
    
    first = classes[i_start:i_start+1][0]
    second = classes[i_start+1:i_start+2][0]
    third = classes[i_start+2:i_start+3][0]
    fourth = classes[i_start+3:i_start+4][0]
    
    print(first)
    
    
    temp1 = winners.loc[winners['class'] == first]
    temp2 = winners.loc[winners['class'] == second]
    temp3 = winners.loc[winners['class'] == third]
    temp4 = winners.loc[winners['class'] == fourth]

    counts1 = temp1['new_odds'].value_counts(normalize=True).reset_index()
    counts2 = temp2['new_odds'].value_counts(normalize=True).reset_index()
    counts3 = temp3['new_odds'].value_counts(normalize=True).reset_index()
    counts4 = temp4['new_odds'].value_counts(normalize=True).reset_index()
    

    fig, (ax1, ax2, ax3, ax4) = plt.subplots(ncols=4, sharey=False, figsize=(20,5))
    ax1.set_ylim([0,1])
    ax1.set_title(first)
    sns.barplot(x='index', y='new_odds', data=counts1, ax=ax1)
    
    ax2.set_ylim([0,1])
    ax2.set_title(second)
    sns.barplot(x='index', y='new_odds', data=counts2, ax=ax2)
    
    ax3.set_ylim([0,1])
    ax3.set_title(third)
    sns.barplot(x='index', y='new_odds', data=counts3, ax=ax3)
    
    ax4.set_ylim([0,1])
    ax4.set_title(fourth)
    sns.barplot(x='index', y='new_odds', data=counts4, ax=ax4)
    
    i_start += 4
    i_end += 4

    plt.show()