Pandas Merge two column to another Dataframe column

Question

I want to merge two columns to another dataframe based on Squad column df1

    Squad
0   Arsenal
1   Aston Villa
2   Bournemouth
3   Brighton
4   Burnley
5   Chelsea
6   Crystal Palace
7   Everton
8   Leicester City
9   Liverpool
10  Manchester City
11  Manchester Utd
12  Newcastle Utd
13  Norwich City
14  Sheffield Utd
15  Southampton
16  Tottenham
17  Watford
18  West Ham
19  Wolves

df2

    Rk  Squad   MP  W   D   L   GF  GA  GD  Pts ... L   GF  GA  GD  Pts Pts/G   xG  xGA xGD xGD/90
0   1   Liverpool   19  18  1   0   52  16  36  55  ... 3   33  17  16  44  2.32    31.2    21.6    9.5 0.50
1   2   Manchester City 19  15  2   2   57  13  44  47  ... 7   45  22  23  34  1.79    45.5    19.5    26.0    1.37
2   3   Manchester Utd  19  10  7   2   40  17  23  37  ... 6   26  19  7   29  1.53    28.4    21.1    7.4 0.39
3   4   Chelsea 19  11  3   5   30  16  14  36  ... 7   39  38  1   30  1.58    29.2    27.2    2.0 0.10
4   5   Leicester City  19  11  4   4   35  17  18  37  ... 8   32  24  8   25  1.32    31.0    22.7    8.3 0.44
5   6   Tottenham   19  12  3   4   36  17  19  39  ... 7   25  30  -5  20  1.05    21.6    28.7    -7.1    -0.37
6   7   Wolves  19  8   7   4   27  19  8   31  ... 5   24  21  3   28  1.47    21.2    18.3    2.9 0.15
7   8   Arsenal 19  10  6   3   36  24  12  36  ... 7   20  24  -4  20  1.05    22.0    25.8    -3.8    -0.20
8   9   Sheffield Utd   19  10  3   6   24  15  9   33  ... 6   15  24  -9  21  1.11    15.3    28.2    -12.9   -0.68
9   10  Burnley 19  8   4   7   24  23  1   28  ... 7   19  27  -8  26  1.37    16.6    27.1    -10.4   -0.55
10  11  Southampton 19  6   3   10  21  35  -14 21  ... 6   30  25  5   31  1.63    30.8    24.9    5.9 0.31
11  12  Everton 19  8   7   4   24  21  3   31  ... 11  20  35  -15 18  0.95    21.8    24.9    -3.1    -0.16
12  13  Newcastle Utd   19  6   8   5   20  21  -1  26  ... 11  18  37  -19 18  0.95    15.0    30.3    -15.3   -0.81
13  14  Crystal Palace  19  6   5   8   15  20  -5  23  ... 9   16  30  -14 20  1.05    16.4    31.6    -15.2   -0.80
14  15  Brighton    19  5   7   7   20  27  -7  22  ... 8   19  27  -8  19  1.00    20.3    28.5    -8.2    -0.43
15  16  West Ham    19  6   4   9   30  33  -3  22  ... 10  19  29  -10 17  0.89    22.5    31.9    -9.4    -0.49
16  17  Aston Villa 19  7   3   9   22  30  -8  24  ... 12  19  37  -18 11  0.58    18.5    34.5    -16.0   -0.84
17  18  Bournemouth 19  5   6   8   22  30  -8  21  ... 14  18  35  -17 13  0.68    20.4    32.3    -11.9   -0.63
18  19  Watford 19  6   6   7   22  27  -5  24  ... 13  14  37  -23 10  0.53    18.5    29.9    -11.4   -0.60
19  20  Norwich City    19  4   3   12  19  37  -18 15  ... 15  7   38  -31 6   0.32    17.7    30.2    -12.6   -0.66

I want to create a new column on df1 and make a calculation that is, value of W column divide by value of MP column. I tried to merge W column to df1 but I got TypeError: Cannot convert bool to numpy.ndarray

df1 = pd.merge(df1, df2['Squad','W'], on='Squad',how='left')

Answer 1

TRY:

result = df1.merge(df2[['Squad','W', 'MP']], how='left')
result['new_col'] = result['W'] / result['MP']

NOTE: Make sure to handle NAN and 0 before dividing.