Question

What will be correct syntax for pandas series?
a)Pandas_series(data,index,dtype,copy)
b)pandas.series(data,index,dtype)
c)pandas.series(data,index,dtype,copy)
d)pandas_series(data,index,dtype)

Answer 1

Answer:

What will be correct syntax for pandas series?

a)Pandas_series(data,index,dtype,copy)

b)pandas.series(data,index,dtype)

c)pandas.series(data,index,dtype,copy)

d)pandas_series(data,index,dtype)

Answer 2

Option (C) is correct.

Pandas.series(data,index,dtype,copy) is syntax for pandas series.

About syntax for pandas series :

• A pandas Series is a labeled one-dimensional data structure that may store texts, numbers, and even other Python objects. It is the fundamental data structure in pandas for holding one-dimensional data and is developed on top of the NumPy array.
• The syntax for the pandas series is

                ⇒ " pandas.series(data,index,dtype,copy) ".

• We prefer the panda's module for working with tabular data. We prefer the NumPy module for working with numerical data.