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75% 55.0
max 60.0
dtype: float64
>>> #round up to two decimal places
>>> round(sections.describe(), 2)
count 7.00
mean 48.57
std 9.00
min 35.00
25% 42.50
50% 50.00
75% 55.00
max 60.00
dtype: float64
For a series such as allSports, comprising categorical values, the method describe() shows the total count of
values, the number of unique values, the most frequently occurring value (referred to as top), and the frequency of
occurrence of the top value as shown below:
>>> allSports.describe()
output:
count 9
unique 5
top Cricket
freq 5
dtype: object
>>> allSportsInverted.describe()
output:
count 9
unique 8
top India
freq 2
dtype: object
C T 05 Write Python code to provide statistical summary of the series: empNames and empSalary.
describe(): Returns statistical summary of a series.
1.5.3 Aggregate Functions and Arithmetic Operations on Series Objects
Next, suppose, we wish to compute the total sanctioned strength of the class XI. To accomplish this, we intially set
classStrength as 0. Subsequently, as we iterate through the elements of the Series sections, we add each value
to classStrength, as shown below:
>>> '''
... Objective: to compute the strength of the class across the sections
... Input: sections- series comprising sections of a class
... Output:
... classStrength: total number of students across the sections
... '''
>>> classStrength = 0
10 Touchpad Informatics Practices-XII

