vinaykudari

a = set({3,1,2,3})
print(type(a))
>> <class 'set'>


print(a) #Order and Repetition dosent matter in sets
>> {1, 2, 3}

vinaykudari

def generate_counts(coin_flips=1000, n=1000):
    x = 2*(np.random.random((coin_flips, n)) > 0.5) - 1 #generates a 1000x1000 matrix, 1 for heads -1 for tails
    s = x.sum(axis=0) #summing row wise, 1000 coin flips for 1000 times together
    return s

vinaykudari

vinaykudari

vinaykudari

import pandas as pd

time_format = '%Y-%m-%d %H%M%S'
date = ['2015-01-01 091234','2015-01-01 091234']
time_format_date = pd.to_datetime(date,format=time_format)

print(time_format_date)
>> DatetimeIndex(['2015-01-01 09:12:34', '2015-01-01 09:12:34'], dtype='datetime64[ns]', freq=None)

vinaykudari

vinaykudari

vinaykudari

a = np.random.randint(5,10,5)
>> a
[6 5 8 8 7]

np.add.at(a,np.flatnonzero(a>8),2) #flatnonzero returns the indices where values are >8
>> a
[6 5 10 10 9]

np.maximum.at(a,[0,1,2],60) #checks the max value
>> a 

vinaykudari

ages = np.random.randint(10,50,10)
heights = np.random.randint(120,210,10)

>> ages
[24 22 13 26 31 20 29 32 34 19]
>> heights
[146 141 166 191 169 203 149 135 170 152]

sorter = np.argsort(ages)

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a = np.arange(2,10,2)
print(a)
>> [2 4 6 8]

print(a>5)
>> [False False  True  True]

b = np.flatnonzero(a>1)
print(b)
>> [2 3]