PANDAS

A two-dimensional data with mutable size that allows you to store and manipulate tabular data in rows of observations and columns of variables In pandas

• Series

• DataFrame

• Dictionary

• List

1. .............: A one-dimensional array that can store data of any type. Its values are mutable but the size cannot be changed.

to create a Series From a list l we use the method :

• pd.Series(l)

• pd.create_series(l)

• pd.Get_series (l )

• pd.DataFrame(l)

we can create the dataframe df from the dictioanry D using the method :

• df = pd.create_DataFrame(D)

• df = pd.DataFrame(D)

• df pd.Make_DataFrame(D)

• df = pd.DF(D)

To select the second line of this dataframe df we use :

• df[: , 2]

• df[2 , : ]

• df[ 1 , :]

• df[ : , 1]

To export DataFrames into CSV, which keyword do we use?

• into_csv()

• to_csv()

• export_csv()

• read_csv()

We can use the ............... function if we want to replace the index using one or more existing columns.

• pd.Index()

• df.set_index()

• df.Index()

• pd.Set_index()

The ................ method allows us to extract rows and columns by labeled index.

• iloc()

• loc()

• Index()

• from_index()

The loc method is used to select indexes for Pandas DataFrames.

Whereas the iloc method ensures the extraction by selecting

Labels

• True

• False

To drop a column from a dataframe, we use :

• df.remove(column_name)

• df.delete(column_name)

• df.drop(column_name)

• df.dropna(column_name)