# Set up code checking
from learntools.core import binder
binder.bind(globals())
from learntools.machine_learning.ex2 import *
print("Setup Complete")
import unittest
from learntools.core import binder; binder.bind(globals())
from learntools.python.ex1 import *
class TestLearnTools(unittest.TestCase):
def test_check(self):
color="blue"
q0.check()
from learntools.core import binder; binder.bind(globals()) from learntools.python.ex3 import q7 as blackjack from should_hit import should_hit blackjack.simulate_one_game()
import pandas as pd
reviews=pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv", index_col=0)
pd.set_option("display.max_rows", 5)
from learntools.core import binder;
binder.bind(globals)
from leanrtools.pandas.indexing_selcting_and_assigning import *
print("Setup complete.")
reviews.head()
# 1. select the description coloumn from reviews and assign it to variable desc
desc=reviews['description'] #or desc=reviews.description
# 2. Selet the first value from the desciption value of reviews and assign it to the varible first_description
first_description=reviews.description[0]
# 3. Select the first row of data (the first record) from reviews, assigning it to the variable first_row
first_row=reviews.iloc[0]
# 4. Select the first 10 values from the description column in reviews assigning the result to variable first_descriptions
first_descriptions=reviews.description.iloc[10] #or desc.head(10) and reviews.loc[:9,"description"]
# 5. Select the records with index labels 1,2,3,5 and 8 assigning the result to the variable sample_reviews
indices=[1,2,3,5,8]
sample_reviews=reviews.loc[indices]
# 6. Create a variable df containing the country,province,region_1,region_2 columns of the records with the index labels 0,1,10 and 100.
#In other words, generate the following DataFrame.
cols=['Country','province','region_1','region_2']
indices=[0,1,10,100]
