import pandas as pd

data = {
    'city' : ['Toronto', 'Montreal', 'Waterloo'],
    'points' : [80, 70, 90]
}

data

{'city': ['Toronto', 'Montreal', 'Waterloo'], 'points': [80, 70, 90]}

type(data)

dict

df = pd.DataFrame(data)

df

df = df.assign(code = [1, 2, 3])

df

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

# necessary modules
import pandas as pd
import numpy as np

def histogram_intersection(a, b):
    v = np.minimum(a …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

import pandas as pd

d = {'col1': [1, 2], 'col2': [3, 4]}
#df = pd.DataFrame(data=d, dtype=np …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

import pandas as pd

data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], 
        'year': [2012, 2012, 2013, 2014, 2014], 
        'reports …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

import pandas as pd
import numpy as np

d = {'col1': [1, 2], 'col2': [3, 4]}

df = pd.DataFrame …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

import pandas as pd

continents_and_medals = {};
continent = 'asia';

sports = {};
sports['athletics'] = 1;

continents_and_medals['asia'] = {};
continents_and_medals['asia']['fencing'] = 1;

print …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

from enum import Enum
from faker import Faker
import random
import pandas as pd

fake = Faker()

class JobRole …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

import pandas as pd;
import numpy as np;

sizes = np.full((10), 8, dtype=int);    
print(sizes);

[8 …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3

import pandas as pd

data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], 
        'year': [2012, 2012, 2013, 2014, 2014], 
        'reports …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: py311; pyv: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0]'

print(pyu.ps2("pandas"))

pandas==2.2.3