```
r = 6371e3 # metres
latBS = 41.178210
lonBS = -8.597820
φ1 = latBS * math.pi/180 # φ, λ in radians
l = 0
dist=[]
RSRP=[]
paths = ["pathA", "pathB", "pathC", "pathD0", "pathD1", "pathD2", "pathD3", "pathE", "pathF", "pathG0", "pathG1", "pathG2","pathG3"]
for x in paths:
logFile = pd.read_csv('export/4G_{}.FMT'.format(x), sep='t')
logClean = logFile.dropna(subset=['All-Latitude', 'All-Longitude'])
dist.clear()
RSRP.clear()
for index, row in logClean.iterrows():
latMS=row['All-Latitude']
lonMS=row['All-Longitude']
φ2 = latMS * math.pi/180
Δφ = (latMS-latBS) * math.pi/180
Δλ = (lonMS-lonBS) * math.pi/180
a = math.sin(Δφ/2) * math.sin(Δφ/2) + math.cos(φ1) * math.cos(φ2) * math.sin(Δλ/2) * math.sin(Δλ/2)
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
d = r * c
dist.append(d) # in metres
RSRP.append(row['All-Serving Cell RSRP (dBm)[1]'])
```

With this current code, the 4G_pathA.FMT file is read and then processed in a loop where distance is measured between a pair of geographical coordinates. Those values are then stored in the array dist().

However, I would like to store those values in 13 different arrays, each one correspondent to each path in the paths[] array, so that dist_pathA, dist_pathB, etc. and RSRP_pathA, RSRP_pathB, etc.

How can I create a new array inside a loop using the x value in the for loop as the name? I have tried

```
dist_{}.format(x)=[]
```

but to no avail.

Cheers

Source: Python-3x Questions