How to find Specific values in Pandas Dataframe

Question

I have imported the data in csv format in pandas. Can anybody tell me how i can find the values above 280 in one of the columns that i have and put them into another data frame. I have done the below code so far:

import numpy as np
import pandas as pd
df = pd.read_csv('...csv')

And the part of data is like the attached pic:enter image description here

Solution

You need boolean indexing:

df1 = df[df[2] > 280]

If need select also only column add loc:

s = df.loc[df[2] > 280, 2]

Sample:

df = pd.DataFrame({0:[1,2,3],
                   1:[4,5,6],
                   2:[107,800,300],
                   3:[1,3,5]})

print (df)
   0  1    2  3
0  1  4  107  1
1  2  5  800  3
2  3  6  300  5

df1 = df[df[2] > 280]
print (df1)
   0  1    2  3
1  2  5  800  3
2  3  6  300  5

s = df.loc[df[2] > 280, 2]
print (s)
1    800
2    300
Name: 2, dtype: int64

#one column df
df2 = df.loc[df[2] > 280, [2]]
print (df2)
     2
1  800
2  300