Work with lists

Here below is not right about Pandas, but usefull in some Pandas contexts.

Search if elements from a list are in another list

Chek if elements from List2 are in List1:

import collections
 
List1 = ['Aaa', 'Bbbb', 'Cccc', 'Dddd', 'Eeee', 'Ffff', 'Gggg', 'Hhhh']
List2 = ['Eeee', 'Cccc']
 
print(List1)
print(List2)
 
check = all(item in List1 for item in List2)
 
print(check)

 Or:

import collections
 
List1 = ['Aaa', 'Bbbb', 'Cccc', 'Dddd', 'Eeee', 'Ffff', 'Gggg', 'Hhhh']
List2 = ['Bbbb', 'Aaa', 'Cccc', 'Dddd', 'Eeee', 'Ffff', 'Hhhh', 'Gggg']
 
print(List1)
print(List2)
 
def iCompare(c1, c2):
    if(collections.Counter(c1)==collections.Counter(c2)):
        return 'Yes'
    else:
        return 'No'
 
info = iCompare(List1, List2)
 
print(info)

 Extract common elements from several lists

List1 = ['Aaa', 'Aaa', 'Bbbb', 'Cccc', 'Dddd', 'Eeee', 'Ffff', 'Gggg', 'Hhhh']
List2 = ['Eeee', 'Cccc', 'Cccc']
List3 = ['Cccc', 'Bbbb', 'Eeee']
 
print('List1:', List1)
print('List2:', List2)
print('List3:', List3)
 
Compare = sorted(list(set(List1) & set(List2) & set(List3) ))
 
print('\nCompare:', Compare)

 Extract no-common elements from several lists

List1 = ['Aaa', 'Aaa', 'Bbbb', 'Cccc', 'Dddd', 'Eeee', 'Ffff', 'Gggg', 'Hhhh']
List2 = ['Eeee', 'Cccc', 'Cccc']
 
print('List1:', List1)
print('List2:', List2)
 
Compare = sorted(list(set(List1) - set(List2) ))
 
print('\nCompare:', Compare)

Concatenate 2 fields in list/sentence

Assemblage = list(zip(df['field1'].tolist(), df['field2'].tolist()))
b = []
for a in Assemblage:
    b.append('Blablabla...  ' + str(list(a)[0]) + ' ...Blablabla... ' + list(a)[1] + ' ...Blablabla.')
for i in b:
    print(i)

List all file from a directory in a Python list

repertoireCheck = 'E:/_CheckTables/'
 
listTxtFile = []
 
for path, subdirs, files in os.walk(repertoireCheck):
    for name in files:
        print(os.path.join(path, name))
        listTxtFile.append(os.path.join(path, name))
 
print(listTxtFile)
print(len(listTxtFile))

Split a big list in smaller sub-lists with a defined total

Here 750 records for example:

SubListsSize = 750
SubLists = [MyBigList[x:x+SubListsSize] for x in range(0, len(MyBigList), SubListsSize)]
 
for SubList in SubLists:
    print(SubList)

Better: split a big list in smaller sub-lists with a defined total in a function

def split_list(my_list, size_max):
    sublists = []
    for i in range(0, len(my_list),size_max):
       sublist = liste[i:i+size_max]
       sublists.append(sublist)
    return sublists
 
sublists = split_list(MyPersonalList, 10)

Liens ou pièces jointes

France-Departements-Deformation.zip	[France-Departements-Deformation]	335 Ko
simple_countries.zip	[simple_countries]	1880 Ko