I have df1

```
df1 = pd.DataFrame({'x':[1,2,3,5],
                    'y':[2,3,4,6],
                    'value':[1.5,2.0,0.5,3.0]})

df1
    x   y   value
0   1   2   1.5
1   2   3   2.0
2   3   4   0.5
3   5   6   3.0

```

and I want to assign the `value` at `x` and `y` coordinates to another dataframe `df2`

```
df2 = pd.DataFrame(0.0, index=[x for x in range(0,df1['x'].max()+1)], columns=[y for y in range(0,df1['y'].max()+1)])

df2
    0   1   2   3   4   5   6
0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
1   0.0 0.0 0.0 0.0 0.0 0.0 0.0
2   0.0 0.0 0.0 0.0 0.0 0.0 0.0
3   0.0 0.0 0.0 0.0 0.0 0.0 0.0
4   0.0 0.0 0.0 0.0 0.0 0.0 0.0
5   0.0 0.0 0.0 0.0 0.0 0.0 0.0

```

by

```
for x, y, value in zip(df1['x'],df1['y'],df1['value']):

    df2.at[x,y] = value

```

to give

```
    0   1   2   3   4   5   6
0   0.0 0.0 0.0 0.0 0.0 0.0 0.0
1   0.0 0.0 1.5 0.0 0.0 0.0 0.0
2   0.0 0.0 0.0 2.0 0.0 0.0 0.0
3   0.0 0.0 0.0 0.0 0.5 0.0 0.0
4   0.0 0.0 0.0 0.0 0.0 0.0 0.0
5   0.0 0.0 0.0 0.0 0.0 0.0 3.0

```

However, it is a bit slow because I have a long `df1`.

Do we have a faster method than `df.at[x,y]`?