Python pandas dataframe select two records for each value of a column using group by

python dataframe 3 years, 4 months ago
df = pd.DataFrame({'id':[1,1,1,2,2,2,3,3,3,4,4,4], 'value': ['one','two','three','one','two','three','one','two','three','one','two','three']}) print(df.groupby('id').head(2))
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Python Script to create AWS beanstalk
#!/usr/bin/python
  
import boto
python aws beanstalk
sandeep sandeep
List all files and folders using python os mo
import os

def list_files_folders(path):
python python-os
kishore_kumar
Get current environment variables in python
import os
env = os.environ

python python-os
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Get os details using python os
import os
print os.uname()
# Don't use os.system('uname -a'), its j
python python-os
kishore_kumar
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python
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Use map function in python
def get_double(num):
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python
kishore_kumar
Python sample codes for beginners
print "Welcome to python"
python
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Python program for even number checking
a=input("Enter a value:")
if (a%2==0):
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python
gaya38 gaya38
Python program for prime number check
a=input("Enter a value:")
k=0
b=(a/2)+1
python
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Pass command line arguments in python
import sys
x=len(sys.argv)
a=[]
python
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Python program for the largest number in an a
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python
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n=100
a=[10,20,30,40,50]
b=[60,70,80,90]
python
gaya38 gaya38
generate fibonacci series in python
n=input("Enter the constraint to print n
m=input("Enter the maximum value to prin
a=0
python
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Generate Random number within the range in py
import random
print random.uniform(10,500)
python
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Shuffle list elements in python
import random;
z = [1,90,4,2]
z = random.shuffle(z)
python
gaya38 gaya38
use python requests to get contents of url (
import requests

req = requests.get("https://httpbin.org/
python python-requests
kishore_kumar
how to iterate or get values in python dictio
sample_dict = { "number": 1, "fruits": [

for key in sample_dict:
python
kishore_kumar
create matrix and multiply using numpy in pyt
import numpy as np

matrix = [[1,2,3], [4,5,6], [7,8,9]]
python numpy
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generate random numbers matrix with numpy pyt
import numpy as np

random_arr = np.random.randint(1,50,9)
python numpy
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Find min , max and mean for numpy arrays
import numpy as np

random_arr = np.random.randint(1,50,9)
python numpy
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