Getting index of minimum distance in Panda's dataframe
1
The head of my data as follows:
lat1 long1 state county lat2 long2 dist Depot
0 . . AK Aleutians West 11.0 23.0 121 0.0
1 . . AK Wade Hampton 33.0 11.0 12 0.0
2 . . AK North Slope 55.0 11.0 43 0.0
3 . . AK Kenai Peninsula 44.0 11.0 43 0.0
4 . . AK Anchorage 11.0 11.0 99 0.0
5 1 2 AK Anchorage NaN NaN 1e10 0.0
6 . . AK Anchorage 55.0 44.0 33 0.0
7 3 4 AK Anchorage NaN NaN 1e10 0.0
8 . . AK Anchorage 3.0 2.0 23 0.0
9 . . AK Anchorage 5.0 11.0 32 0.0
10 . . AK Anchorage 42.0 22.0 33 0.0
11 . . AK Anchorage 11.0 2.0 33 0.0
12 . . AK Anchorage 444.0 1.0 43 0.0
13 . . AK Anchorage 1.0 2.0 53 0.0
14 0 2 AK Anchorage NaN NaN 1e10 0.0
15 . . AK Anchorage 1.0 1.0 32 0.0
16 . . AK Anchorage 111.0 11.0 22 0.0
The distance column indicates the minimum distance between the corresponding lat2/long2 and all the entries in lat1/long1. My code for the same is as follows:
import pandas as pd
from haversine import haversine
import numpy as np
path = 'distance.xlsx'
df = pd.read_excel(path, parse_cols = [1,2,4,5,7,8])
df = df.assign(dist=pd.Series(np.zeros(27055)).values);
df = df.assign(Depot=pd.Series(np.zeros(27055)).values);
temp = 1e10
for i in range(0, len(df)):
for j in range(0, len(df)):
if df.iloc[j]['lat1'] is '.' and df.iloc[j]['long1'] is '.':
continue
else:
p1 = (df.iloc[j]['lat1'],df.iloc[j]['long1'])
p2 = (df.iloc[i]['lat2'],df.iloc[i]['long2'])
df.dist.iloc[i] = min(temp,haversine(p1, p2, miles=True))
temp = df.dist.iloc[i]
temp = 1e10
For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column. I understand this must be some indexing command but I'm struggling with the exact form.
python pandas
asked Nov 19 '18 at 17:29
db18db18
1467
add a comment |
1
The head of my data as follows:
lat1 long1 state county lat2 long2 dist Depot
0 . . AK Aleutians West 11.0 23.0 121 0.0
1 . . AK Wade Hampton 33.0 11.0 12 0.0
2 . . AK North Slope 55.0 11.0 43 0.0
3 . . AK Kenai Peninsula 44.0 11.0 43 0.0
4 . . AK Anchorage 11.0 11.0 99 0.0
5 1 2 AK Anchorage NaN NaN 1e10 0.0
6 . . AK Anchorage 55.0 44.0 33 0.0
7 3 4 AK Anchorage NaN NaN 1e10 0.0
8 . . AK Anchorage 3.0 2.0 23 0.0
9 . . AK Anchorage 5.0 11.0 32 0.0
10 . . AK Anchorage 42.0 22.0 33 0.0
11 . . AK Anchorage 11.0 2.0 33 0.0
12 . . AK Anchorage 444.0 1.0 43 0.0
13 . . AK Anchorage 1.0 2.0 53 0.0
14 0 2 AK Anchorage NaN NaN 1e10 0.0
15 . . AK Anchorage 1.0 1.0 32 0.0
16 . . AK Anchorage 111.0 11.0 22 0.0
The distance column indicates the minimum distance between the corresponding lat2/long2 and all the entries in lat1/long1. My code for the same is as follows:
import pandas as pd
from haversine import haversine
import numpy as np
path = 'distance.xlsx'
df = pd.read_excel(path, parse_cols = [1,2,4,5,7,8])
df = df.assign(dist=pd.Series(np.zeros(27055)).values);
df = df.assign(Depot=pd.Series(np.zeros(27055)).values);
temp = 1e10
for i in range(0, len(df)):
for j in range(0, len(df)):
if df.iloc[j]['lat1'] is '.' and df.iloc[j]['long1'] is '.':
continue
else:
p1 = (df.iloc[j]['lat1'],df.iloc[j]['long1'])
p2 = (df.iloc[i]['lat2'],df.iloc[i]['long2'])
df.dist.iloc[i] = min(temp,haversine(p1, p2, miles=True))
temp = df.dist.iloc[i]
temp = 1e10
For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column. I understand this must be some indexing command but I'm struggling with the exact form.
python pandas
asked Nov 19 '18 at 17:29
db18db18
1467
Could you elaborate on the sentence "For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column"? I didn't understand what you asked for :)
– Gal Avineri
Nov 19 '18 at 18:39
add a comment |
1
1
1
The head of my data as follows:
lat1 long1 state county lat2 long2 dist Depot
0 . . AK Aleutians West 11.0 23.0 121 0.0
1 . . AK Wade Hampton 33.0 11.0 12 0.0
2 . . AK North Slope 55.0 11.0 43 0.0
3 . . AK Kenai Peninsula 44.0 11.0 43 0.0
4 . . AK Anchorage 11.0 11.0 99 0.0
5 1 2 AK Anchorage NaN NaN 1e10 0.0
6 . . AK Anchorage 55.0 44.0 33 0.0
7 3 4 AK Anchorage NaN NaN 1e10 0.0
8 . . AK Anchorage 3.0 2.0 23 0.0
9 . . AK Anchorage 5.0 11.0 32 0.0
10 . . AK Anchorage 42.0 22.0 33 0.0
11 . . AK Anchorage 11.0 2.0 33 0.0
12 . . AK Anchorage 444.0 1.0 43 0.0
13 . . AK Anchorage 1.0 2.0 53 0.0
14 0 2 AK Anchorage NaN NaN 1e10 0.0
15 . . AK Anchorage 1.0 1.0 32 0.0
16 . . AK Anchorage 111.0 11.0 22 0.0
The distance column indicates the minimum distance between the corresponding lat2/long2 and all the entries in lat1/long1. My code for the same is as follows:
import pandas as pd
from haversine import haversine
import numpy as np
path = 'distance.xlsx'
df = pd.read_excel(path, parse_cols = [1,2,4,5,7,8])
df = df.assign(dist=pd.Series(np.zeros(27055)).values);
df = df.assign(Depot=pd.Series(np.zeros(27055)).values);
temp = 1e10
for i in range(0, len(df)):
for j in range(0, len(df)):
if df.iloc[j]['lat1'] is '.' and df.iloc[j]['long1'] is '.':
continue
else:
p1 = (df.iloc[j]['lat1'],df.iloc[j]['long1'])
p2 = (df.iloc[i]['lat2'],df.iloc[i]['long2'])
df.dist.iloc[i] = min(temp,haversine(p1, p2, miles=True))
temp = df.dist.iloc[i]
temp = 1e10
For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column. I understand this must be some indexing command but I'm struggling with the exact form.
python pandas
asked Nov 19 '18 at 17:29
db18db18
1467
The head of my data as follows:
lat1 long1 state county lat2 long2 dist Depot
0 . . AK Aleutians West 11.0 23.0 121 0.0
1 . . AK Wade Hampton 33.0 11.0 12 0.0
2 . . AK North Slope 55.0 11.0 43 0.0
3 . . AK Kenai Peninsula 44.0 11.0 43 0.0
4 . . AK Anchorage 11.0 11.0 99 0.0
5 1 2 AK Anchorage NaN NaN 1e10 0.0
6 . . AK Anchorage 55.0 44.0 33 0.0
7 3 4 AK Anchorage NaN NaN 1e10 0.0
8 . . AK Anchorage 3.0 2.0 23 0.0
9 . . AK Anchorage 5.0 11.0 32 0.0
10 . . AK Anchorage 42.0 22.0 33 0.0
11 . . AK Anchorage 11.0 2.0 33 0.0
12 . . AK Anchorage 444.0 1.0 43 0.0
13 . . AK Anchorage 1.0 2.0 53 0.0
14 0 2 AK Anchorage NaN NaN 1e10 0.0
15 . . AK Anchorage 1.0 1.0 32 0.0
16 . . AK Anchorage 111.0 11.0 22 0.0
The distance column indicates the minimum distance between the corresponding lat2/long2 and all the entries in lat1/long1. My code for the same is as follows:
import pandas as pd
from haversine import haversine
import numpy as np
path = 'distance.xlsx'
df = pd.read_excel(path, parse_cols = [1,2,4,5,7,8])
df = df.assign(dist=pd.Series(np.zeros(27055)).values);
df = df.assign(Depot=pd.Series(np.zeros(27055)).values);
temp = 1e10
for i in range(0, len(df)):
for j in range(0, len(df)):
if df.iloc[j]['lat1'] is '.' and df.iloc[j]['long1'] is '.':
continue
else:
p1 = (df.iloc[j]['lat1'],df.iloc[j]['long1'])
p2 = (df.iloc[i]['lat2'],df.iloc[i]['long2'])
df.dist.iloc[i] = min(temp,haversine(p1, p2, miles=True))
temp = df.dist.iloc[i]
temp = 1e10
For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column. I understand this must be some indexing command but I'm struggling with the exact form.
python pandas
python pandas
asked Nov 19 '18 at 17:29
db18db18
1467
asked Nov 19 '18 at 17:29
db18db18
1467
edited Nov 19 '18 at 17:39
db18
asked Nov 19 '18 at 17:29
db18db18
1467
asked Nov 19 '18 at 17:29
db18db18
1467
asked Nov 19 '18 at 17:29
db18db18
1467
1467
Could you elaborate on the sentence "For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column"? I didn't understand what you asked for :)
– Gal Avineri
Nov 19 '18 at 18:39
add a comment |
Could you elaborate on the sentence "For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column"? I didn't understand what you asked for :)
– Gal Avineri
Nov 19 '18 at 18:39
Could you elaborate on the sentence "For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column"? I didn't understand what you asked for :)
– Gal Avineri
Nov 19 '18 at 18:39
Could you elaborate on the sentence "For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column"? I didn't understand what you asked for :)
– Gal Avineri
Nov 19 '18 at 18:39
add a comment |
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Could you elaborate on the sentence "For the minimum distance for each index, I want to know the corresponding p2 (lat1,long1) and store it in the Depot column"? I didn't understand what you asked for :)
– Gal Avineri
Nov 19 '18 at 18:39