Jeremy - 6 months ago 30

Python Question

I am currently reading in data into a dataframe that looks like this.

`City XCord YCord`

Boston 5 2

Phoenix 7 3

New York 8 1

..... . .

I want to to create a Euclidean Distance Matrix from this data showing the distance between all city pairs so I get a resulting matrix like:

`Boston Phoenix New York`

Boston 0 2.236 3.162

Phoenix 2.236 0 2.236

New York 3.162 2.236 0

There are many more cities and coordinates in my actual data frame so i need to to be able to somehow iterate over all of the city pairs and create a distance matrix like the one I have shown above but I am not sure how to pair all of the cites together and apply the Euclidean Distance formula? Any help would be appreciated.

Recommended for you: Get network issues from **WhatsUp Gold**. **Not end users.**

Answer Source

I think you are intrested in distance_matrix.

For example:

Create data:

```
import pandas as pd
from scipy.spatial import distance_matrix
data = [[5, 7], [7, 3], [8, 1]]
ctys = ['Boston', 'Phoenix', 'New York']
df = pd.DataFrame(data, columns=['xcord', 'ycord'], index=ctys)
```

Output:

```
xcord ycord
Boston 5 7
Phoenix 7 3
New York 8 1
```

Using the distance matrix function:

```
pd.DataFrame(distance_matrix(df.values, df.values), index=df.index, columns=df.index)
```

Results:

```
Boston Phoenix New York
Boston 0.000000 4.472136 6.708204
Phoenix 4.472136 0.000000 2.236068
New York 6.708204 2.236068 0.000000
```