import
pandas as pd
dictionary
=
{
'Names'
:[
'Simon'
,
'Josh'
,
'Amen'
,
'Habby'
,
'Jonathan'
,
'Nick'
,
'Jake'
],
'Countries'
:[
'AUSTRIA'
,
'BELGIUM'
,
'BRAZIL'
,
'JAPAN'
,
'FRANCE'
,
'INDIA'
,
'GERMANY'
],
'Boolean'
:[
True
,
False
,
False
,
True
,
True
,
False
,
True
],
'HouseNo'
:[
231
,
453
,
723
,
924
,
784
,
561
,
403
],
'Location'
:[
12.34
,
45.67
,
03.45
,
17.23
,
83.12
,
90.45
,
84.34
]}
table
=
pd.DataFrame(dictionary, columns
=
[
'Names'
,
'Countries'
,
'Boolean'
,
'HouseNo'
,
'Location'
])
print
(
"Data Types of The Columns in Data Frame"
)
display(table.dtypes)
print
(
"Data types on accessing a single column of the Data Frame "
)
print
(
"Type of Names Column : "
,
type
(table.iloc[:,
0
]))
print
(
"Type of HouseNo Column : "
,
type
(table.iloc[:,
3
]),
"\n"
)
print
(
"Data types of individual elements of a particular columns Data Frame "
)
print
(
"Type of Names Column Element : "
,
type
(table.iloc[:,
0
][
1
]))
print
(
"Type of Boolean Column Element : "
,
type
(table.iloc[:,
2
][
2
]))
print
(
"Type of HouseNo Column Element : "
,
type
(table.iloc[:,
3
][
4
]))
print
(
"Type of Location Column Element : "
,
type
(table.iloc[:,
4
][
0
]))