Assume that the data in the following table are stored in a pandas DataFrame df. Surname Shoe Size (UK) Height (cm) Age Driver's Licence? Number of Children Country of Residence Forename O Maria Tahir 6.0 171 79 False 0 Peru 1 Karima Sheikh 6.0 204 91 False 1 NaN 2 Thomas Gao 6.0 198 41 True 10 Kenya 3 Ahmed Ramos 7.5 170 45 True 1 Peru 4 Julia Suzuki 5.0 166 48 True 3 Mexico 5 Anna Kumar 8.5 182 85 False 1 Peru 6 Mamadou Soto 6.0 165 95 True 4 7 Valentina Mohammed 5.0 173 46 True 1 United States China Match the following expressions with the number of entries (rows) of the resulting DataFrame/Series, i.e., the output of len(...) when replacing'. expression. 'by the df.dropna() df.head(4) df.loc[:, ['Forename', 'Height (cm)']] df [[ 'Number of Children']] df [df ['Number of Children'] > 3]

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Assume that the data in the following table are stored in a pandas DataFrame df.
Surname Shoe Size (UK) Height (cm) Age Driver's Licence? Number of Children Country of Residence
Forename
O Maria
Tahir
6.0
171
79 False
0
Peru
1 Karima
Sheikh
6.0
204
91 False
1
NaN
2 Thomas
Gao
6.0
198
41 True
10
Kenya
3 Ahmed
Ramos
7.5
170
45 True
1
Peru
4 Julia
Suzuki
5.0
166
48 True
3
Mexico
5 Anna
Kumar
8.5
182
85 False
1
Peru
6 Mamadou Soto
6.0
165
95 True
4
7 Valentina Mohammed 5.0
173
46 True
1
United States
China
Match the following expressions with the number of entries (rows) of the resulting DataFrame/Series, i.e., the output of len(...) when replacing'.
expression.
'by the
Transcribed Image Text:Assume that the data in the following table are stored in a pandas DataFrame df. Surname Shoe Size (UK) Height (cm) Age Driver's Licence? Number of Children Country of Residence Forename O Maria Tahir 6.0 171 79 False 0 Peru 1 Karima Sheikh 6.0 204 91 False 1 NaN 2 Thomas Gao 6.0 198 41 True 10 Kenya 3 Ahmed Ramos 7.5 170 45 True 1 Peru 4 Julia Suzuki 5.0 166 48 True 3 Mexico 5 Anna Kumar 8.5 182 85 False 1 Peru 6 Mamadou Soto 6.0 165 95 True 4 7 Valentina Mohammed 5.0 173 46 True 1 United States China Match the following expressions with the number of entries (rows) of the resulting DataFrame/Series, i.e., the output of len(...) when replacing'. expression. 'by the
df.dropna()
df.head(4)
df.loc[:, ['Forename', 'Height (cm)']]
df [[ 'Number of Children']]
df [df ['Number of Children'] > 3]
Transcribed Image Text:df.dropna() df.head(4) df.loc[:, ['Forename', 'Height (cm)']] df [[ 'Number of Children']] df [df ['Number of Children'] > 3]
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