Front

Pandas deals with following data structures: Series, Series and Data Frames, Series, DataFrames and Panel, None of Above

Back

Series and Data Frames

Front

Which is not a feature of series? Options: Homogeneous data, Immutable size, Mutable data, Multiple rows

Back

Multiple rows

Front

Series can be created from: Array, Dictionary, Scaler value, All of them

Back

All of them

Front

Full form of CSV file is

Back

Comma Separated Value

Front

Not a function of Dataframe: Head(), Tail(), loc(), multi()

Back

multi()

Front

Can a DataFrame contain multiple series?

Back

True

Front

Which function from the options given below can read the dataset from a large text file? Options: read_json, read_pickle, read_hdf, read_csv

Back

read_csv

Front

Which of the following can be used to make a Dataframe? Series, DataFrame, Structured ndarray, All of the above

Back

All of the above

Front

Which is the correct Pandas syntax to read in a csv file and assign it to a DataFrame df?

Back

df = pd.read_csv('file.csv')

Front

Type the syntax that returns the top 5 rows in DataFrame df with the native Pandas function (not slicing):

Back

df.head(), df.head(5)