WorksheetsDataframe
Total questions: 12
Worksheet time: 6mins
Full form of NaN is
Not a Null
Not a Number
Not a Numeric
None of these
Data structures in Pandas can be mutated in the terms of ____ but not of _____.
size, value
value, size
semantic, size
none of the above
pandas is a:
Data Structure
Series
Dataframe
Library
Write the output for the following:
import pandas as pd1
s = pd1.Series(5, index=[0, 1, 2, 3])
print(s)
0 5
0 5
1 5
2 5
3 5
dtype: int64
1 5
2 5
2 5
4 5
dtype: int64
0 5
1 5
2 5
3 5
dtype: object
write the output:
import pandas as pd1
s = pd1.Series([1,2,3])
t = pd1.Series([1,2,4])
u=s-t
print (u)
0 1
1 0
2 1
dtype: int64
0 0
1 0
2 1
dtype: int64
0 0
1 0
2 -1
dtype: float64
0 0
1 0
2 -1
dtype: int64
write the output:
import pandas as pd
s=pd.Series([1,2,3,4],index=['a','b','c','d'])
print(s.iloc[2:4])
b 2
c 3
d 4
dtype: int64
b 3
c 4
dtype: int64
c 3
d 4
dtype: int64
none of the above
write the output:
import pandas as pd
s=pd.Series([1,2,3,4],index=['a','b','c','d'])
print(s.loc['b':'d'])
b 2
c 3
d 4
dtype: float64
b 2
c 3
d 4
dtype: object
c 3
d 4
dtype: int64
b 2
c 3
d 4
dtype: int64
In data science, which of the python library are more popular ?
numpy
pandas
django
none
Series.tail(3) will return how many values.
3 values from front
3 values from last
5 values
none
Series.head() will return how many rows.
2
4
3
5
Which among the following options can be used to create a DataFrame in Pandas?
A scalar value
An ndarray
A python dict
All of the above
Which of the following commands is used to convert array named "grades" into data frame named "df_grades"?
df_grades = grades
df_grades = pd.DataFrame(grades)
df_grades = pd.DataFrame("grades")
grades = pd.DataFrame(df_grades)
