SONIA | Infer selection pressures on features of amino acid CDR3 | Genomics library

df2 = pd.merge(df, df_students,  left_on="Student1", right_on="Student")
df3 = pd.merge(df2, df_students,  left_on="Student2", right_on="Student")
df3['Sum'] = df3[['Score_x','Score_y']].sum(axis=1)
df3['Years Elapsed'] = 2022 - df3[['Year

def loop_dates():
    'Runs the interpolate function for all the dates for one curve'
    for dt in AllDate:  
        data = importdata(location, dt, C, max_maturity = '30Y') 
        fwdrate = interpolate(data, '1y', '1y')
        dictio

df2 = df2.set_index('Date')

df1['Exreturn'] = df1['Return'] - df2['Daily SONIA Rate']

#       Date   Adj Close    Return  Exreturn
# 2019-01-02  475.365143       NaN       NaN
# 2019-01-03  468.232574 -0.015004 -0.719804
# 2019-01-04  48

df.maturity.str.rsplit(n=1).str[-1]

0      1W
1      2W
2      1M
3      2M
4      3M
5      4M
6      5M
7      6M
8      7M
9      8M
10     9M
11    10M
12    11M
13     1Y
14    18M
15     2Y
16     3Y
17     4Y
18     5Y
19     6Y
20

liste1 = ['Jean', 'Maximilien', 'Brigitte', 'Sonia', 'Jean-Pierre', 'Sandra']

moins6 = []
plus6 = []
i = 0 

while i < len(liste1) : # here is your error
    
    if len(liste1[i]) > 6: 
        moins6.append(liste1[i])
        
   

liste1 = ['Jean', 'Maximilien', 'Brigitte', 'Sonia', 'Jean-Pierre', 'Sandra']

moins6 = []
plus6 = []

for word in liste1:
    if len(word) > 6:
        moins6.append(word)
    else: plus6.append(word)
print(moins6)
print(plus6)

2.  

    while 'and' in op:
            j = op.index(7)
            print("index", j)
            # print(lovop)
            fn(j, lovop)
            op.pop(j)
            print(lovop)

def fn(ind,lsts):
    lsts[i

    In [58]: s = pd.Series({'a1': [['5261', '5247', '5246'], ['521', '5547', '5246']], 'f1': [['526', '557', '5246']], 'a0': [['1', '32', '26'], ['61', '47', '246']]})                                                

    In [59]: s        

for first, second in NetworkCommands:
    print('The first element is', first)
    print('The second element is ', second)

for i in NetworkCommands:
    print('The first element is', i[0])
    print('The second ele

>>> df = pd.DataFrame({
...     "ProArticle": ["a", "b", "c", "d"],
...     "Vector": [[0, 0], [1, 1], [2, 2], [3, 3]]
... })
>>> vs = np.vstack(df.Vector)
>>> vs
array([[0, 0],
       [1, 1],
       [2, 2],