Which of the following statement will import pandas library ? 1. Import pandas as pd 2. import Pandas as py 3. import pandas as pd 4. import panda as pd

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Which of the following statement will import pandas library ?
Import pandas as pd
import Pandas as py
import pandas as pd
import panda as pd

Python Pandas

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Answer

import pandas as pd

Reason — The syntax to import a library with an alias is import library_name as alias. Therefore, the statement import pandas as pd is used to import the pandas library in Python with the alias 'pd'.

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Informatics Practices

Which of the following statement will import pandas library ?
Import pandas as pd
import Pandas as py
import pandas as pd
import panda as pd

Python Pandas

Answer

Related Questions

What does drop() function do ?

What is the role of inplace argument in rename() function.

To create an empty Series object, you can use :
pd.Series(empty)
pd.Series(np.NaN)
pd.Series( )
all of these

To specify datatype `int16` for a Series object, you can write :
pd.Series(data = array, dtype = int16)
pd.Series(data = array, dtype = numpy.int16)
pd.Series(data = array.dtype = pandas.int16)
all of the above

Informatics Practices

Which of the following statement will import pandas library ?Import pandas as pdimport Pandas as pyimport pandas as pdimport panda as pd

Python Pandas

Answer

Related Questions

What does drop() function do ?

What is the role of inplace argument in rename() function.

To create an empty Series object, you can use :pd.Series(empty)pd.Series(np.NaN)pd.Series( )all of these

To specify datatype int16 for a Series object, you can write :pd.Series(data = array, dtype = int16)pd.Series(data = array, dtype = numpy.int16)pd.Series(data = array.dtype = pandas.int16)all of the above

Which of the following statement will import pandas library ?
Import pandas as pd
import Pandas as py
import pandas as pd
import panda as pd

To create an empty Series object, you can use :
pd.Series(empty)
pd.Series(np.NaN)
pd.Series( )
all of these

To specify datatype `int16` for a Series object, you can write :
pd.Series(data = array, dtype = int16)
pd.Series(data = array, dtype = numpy.int16)
pd.Series(data = array.dtype = pandas.int16)
all of the above