1. Which is not a rule for read cv() as related to numbers: a. If any value of a column is non-numeric, the column's values are represented as Python types as opposed to NumPy types b. If a column has integer values and some missing values, pandas will use the Python int type or None for the values in the column c. if any value in a column of numbers is missing, even is all non-missing values are integers, the column is stored as a NumPy float type d. If all values in a column are numeric and any value has decimal places, the column is represented as a NumPy float   2. For a pandas DataFrame df, which expression can be used to find rows with missing values for the column named id? df[df.id.isna()]  df.id.isna  df.missing('id') df.id. False

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
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1. Which is not a rule for read cv() as related to numbers:

a. If any value of a column is non-numeric, the column's values are represented as Python types as opposed to NumPy types

b. If a column has integer values and some missing values, pandas will use the Python int type or None for the values in the column

c. if any value in a column of numbers is missing, even is all non-missing values are integers, the column is stored as a NumPy float type

d. If all values in a column are numeric and any value has decimal places, the column is represented as a NumPy float

 

2. For a pandas DataFrame df, which expression can be used to find rows with missing values for the column named id?

df[df.id.isna()] 

df.id.isna 

df.missing('id')

df.id. False

 

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