Informatics Practices
Which among the following options can be used to create a DataFrame in Pandas ?
- A scalar value
- An ndarray
- A python dict
- All of these
Python Pandas
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Answer
All of these
Reason — We can create a DataFrame object in Pandas by passing data in many different ways, such as a scalar value, an ndarray and a Python dictionary.
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Related Questions
To display the 3rd, 4th and 5th columns from the 6th to 9th rows of a dataframe DF, you can write …………… .
- DF.loc[6:9, 3:5]
- DF.loc[6:10, 3:6]
- DF.iloc[6:10, 3:6]
- DF.iloc[6:9, 3:5]
To change the 5th column's value at 3rd row as 35 in dataframe DF, you can write …………… .
- DF[4, 6] = 35
- DF[3, 5] = 35
- DF.iat[4, 6] = 35
- DF.iat[3, 5] = 35
Identify the correct statement :
- The standard marker for missing data in Pandas is NaN.
- Series act in a way similar to that of an array
- Both (a) and (b)
- None of the above
Identify the correct option to select first four rows and second to fourth columns from a DataFrame 'Data':
- display(Data.iloc[1 : 4, 2 : 4])
- display(Data.iloc[1 : 5, 2 ; 5])
- print(Data.iloc[0 : 4, 1 : 4])
- print(Data.iloc[1 : 4, 2 : 4])