5 Question Series — AI & Data Science 6
Hi, this is the continuation of 5 Question Series in basic Python MCQs. Hope you’ll enjoy it. These are in pandas and numpy library.
Q1. In Dataframe ‘df’; how many times the “Steak Burrito” in item_name column is ordered? which option will give incorrect output?
a) df[df.item_name==’Steak Burrito’][‘quantity’].sum()
b) df.groupby(‘item_name’)[‘quantity’].sum()
c) df = df.groupby(‘item_name’)[‘quantity’].sum().reset_index()
df[df[‘item_name’]==’Steak Burrito’]
d) df.groupby[[‘item_name’, ‘quantity’]==’Steak Burrito’].sum()
ans : d
Q2. Considering Dataframe ‘df’, which is the correct option to show most expensive item and its quantity?
a) df.sort_values(by = “item_price”, ascending = False)
b) df.sort_values[by = “item_price”, descending = True]
c) df.item_price = df.item_price.apply(lambda x: float(x[1:-1]))
df.sort_values(by = “item_price”, ascending = False).head(1)
d) df.sort_values(by = “item_price”, ascending = False).head(1)
ans: c
Q3.
using the Dataframe ‘dA’, which of the following option will give correct output for selecting all the even rows with column ‘Year’, ‘Population’ and ‘Murder’?
a) dA.loc[dA.index[::2],[‘Year’,’Population’,’Murder’]]
b) dA.iloc[dA.index[::2],[‘Year’,’Population’,’Murder’]]
c) dA.loc[dA.index[0:2:],[‘Year’,’Population’,’Murder’]]
d) dA.iloc[dA.index[0:15:2],[‘Year’,’Population’,’Murder’]]
ans: a
Q4. using the Dataframe ‘dA’ which option will give correct output for sorting the values in ‘Year’ column by descending and selecting rows with murder in between 10000 and 20000?
a) [dA.sort_values(by = ‘Year’, ascending = False)][‘Murder’].between(10000, 20000)
b) dA.sort_values(by = ‘Year’, ascending = False)[dA.sort_values(by = ‘Year’, ascending = False)[‘Murder’].between(10000,20000)]
c) dA[dA[‘Murder’].between(10000,20000)]
d) dA.sort_values(by = ‘Year’, ascending = False)[dA.sort_values([‘Murder’].between(10000,20000))]
ans: b
Q5.
considering the Dataframe ‘tips’. which is the correct option to plot the relation between ‘total_bill’ and ‘tip’ depending on ‘time’ and ‘smoker’ column?
a) sns.scatterplot(x = ‘total_bill’, y = ‘tip’, data = tips, hue = ‘smoker’, style = ‘time’)
b) sns.relplot(x = ‘total_bill’, y = ‘tip’, style = ‘size’, hue = ‘smoker’, data = tips)
c) sns.regplot(x = ‘total_bill’, y = ‘tip’, data = tips, hue = ‘smoker’, style = ‘time’, size = ‘size’)
d) sns.relplot(x = ‘total_bill’, y = ‘tip’, data = tips, hue = ‘time’, style = ‘smoker’, size = ‘size’)
ans) d
You can get my other series below, Hope you enjoy it. Do suggest me for more interesting Questions. Thanks
