from my_mod import enlarge
from pandas import DataFrame
print("HELLO")
df = DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
print(df)
x = 11
print(enlarge(x))
df1 = pd.DataFrame([['a', 1], ['b', 2]],
columns=['letter', 'number'])
df2 = pd.DataFrame([['c', 3], ['d', 4]],
columns=['letter', 'number'])
lst = [2,6,78,9,10]
print('new df with list', list_into_df(lst,df1))
print("------------")
x = 5
print("number", x)
print('Enlarged Number', enlarge(x))
print("Null checker \n\n\n")
car1 = Car('Toyota', 'Celica', 15000)
Car.set_lower_amount(0.85)
print('Original price', car1.price)
print('lower amount', car1.lower_amount)
# apply method
car1.apply_depreciation()
print('new price', car1.price)
import requests
from sklearn.model_selection import train_test_split
# my_lambdata/my_script.py
from my_mod import enlarge
print("HELLO WORLD")
df = pandas.DataFrame({"State": ['CT', "CO", "CA", "TX"]})
print(df.head())
print("--------")
x = 5
print("NUMBER", x)
print("ENLARGED NUMBER", enlarge(x)) # invoking our function!!
df1 = pandas.read_csv(
'https://raw.githubusercontent.com/ryanleeallred/datasets/master/Ames%20Housing%20Data/train.csv'
)
df1['LotFrontage'].head(5)
# Split train into train & val
train, test = train_test_split(df1,
train_size=0.85,
test_size=0.15,
random_state=42)
train, val = train_test_split(df,
train_size=0.80,
test_size=0.20,
# my_lambdata/my_script.py
import pandas
from my_mod import enlarge
print('Hello World')
df = pandas.DataFrame({'State': ['CT', 'ca', 'cb']})
print(df.head())
print('--------------')
x = 5
print("Number:", x)
print('Number enlarged', enlarge(x)) # invoke the function
import pandas as pd
from my_mod import enlarge
print("Hello")
print(enlarge(8))
df = pd.DataFrame({"state":["CT", "CO", "CA", "TX"]})
print(df.head())
from my_mod import enlarge
x = float(input('Input a number:'))
result = enlarge(x)
print(f'{result:.0f}')
# my_lambdata/my_script.py
import pandas
from my_mod import enlarge
print("HAPPY TUESDAY NIGHT.")
df = pandas.DataFrame({"x": [1, 2, 3], "y": [4, 5, 6]})
print(df.head())
x = 5
print("ENLARGE", x, "TO", enlarge(x))
# my-lambdata-pt4/my_script.py
import pandas
from my_mod import enlarge
print("HAPPY TUESDAY NIGHT.")
df = pandas.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
print(df.head())
x = 5
print(x, 'ENLARGE', x, 'TO', enlarge(x))