WorksheetsPandas Series & DataFrames
Total questions: 20
Worksheet time: 12mins
Best way to import the pandas module in your program ?
1.import pandas
2.import pandas as pd
3.from pandas import *
4.All of the above
Which is true for series.
Size is mutable,Values is mutable
size is immutable,values is mutable
size is mutable,values is immutable.
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
3
4
5
To extract subset from Series,the following function is used
row()
column()
loc()
all
we can analyze the data in pandas with :
Series
Dataframe
Both
none
Series in Pandas is
1 Dimensional Array
2 Dimensional array
3 Dimensional array
none of above
Minimum number of argument we require to pass in pandas series ?
0
1
2
3
Series can be created from
Array
Dictionary
Scatter value
All of them
Full form of NaN is
Not a Null
Not a Number
Not a Numeric
None of these
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
DataFrame is .......................
size mutable, data mutable
size immutable, data mutable
An empty DataFrame can be created by.................
passing arguments
without passing arguments
Which of the functions can be used to delete column/row from a DataFrame?
pop()
at()
drop()
iloc()
Full form of CSV file is
Comma Separated Vault
Comma Separated Value
Common Separated Value
Common System Value
Dataframe can contain multiple series
True
False
Which is the correct Pandas syntax to read in a csv file and assign it to a DataFrame df?
df = read_csv('file.csv')
df = read('file.csv', type = 'csv')
df = pd.read_csv('file.csv')
df = with open('file.csv') as pd.DataFrame
