CODEWITHSUNDEEP
pythonpandasseries
grimrol123
grimrol123

Reputation: 21

Retrieving series rows given a condition

Consider the following series which represents the distance between location a and locations b, c, d:

   a   
a  0

b  10

c  12

d  21

Now, what I'm trying to do is retrieve all location names that are within a certain distance from a.

For example, I would like to print out all variables that are within a 15 unit distance from a, excluding a, which would be b and c.

b

c

I've tried creating an empty list and then using a for loop to append to that list but to no avail, so I'm obviously missing something.

Upvotes: 0

Views: 73

Answers (3)

Anshul
Anshul

Reputation: 1413

Try this:

dist = 15
val = list(df.loc[(df['a'] < dist) & (df.index != 'a')].index)
print(val)

Output:

['b', 'c']

Upvotes: 0

marz
marz

Reputation: 93

Forget loops, pandas and numpy already have builtin functions that make the job. In this case you can use np.where.

import pandas as pd
import numpy as np
df = pd.Series({'a':0, 'b':10, 'c':12, 'd':21}, index=['a', 'b', 'c', 'd'])
df.iloc[np.where((df<=15) & (df.index !='a'))]

Upvotes: 1

NYC Coder
NYC Coder

Reputation: 7614

You can do this, i assumed the first column is an index:

print(df[(df['a'] < 15) & (df.index != 'a')])

      a
loc
b    10
c    12

Upvotes: 0

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