Mastering DataFrame Creation

What is a DataFrame in Pandas?

• A DataFrame is a two-dimensional labeled data structure in Pandas.

• A DataFrame is a graphical representation of data in Pandas.

• A DataFrame is a type of database in Pandas.

• A DataFrame is a one-dimensional array in Pandas.

How do you create a DataFrame from a dictionary?

• Convert your_dict to a list before creating a DataFrame

• Use pd.DataFrame(your_dict) where your_dict is the dictionary.

• Create a DataFrame using df.from_dict(your_dict)

• Use your_dict.to_DataFrame()

What function is used to create a DataFrame from a CSV file?

• pd.open_csv()

• pd.import_csv()

• pd.read_csv()

• pd.load_csv()

How can you create a DataFrame with specified column names?

• import pandas as pd # Create a DataFrame with specified column names column_names = ['A', 'B', 'C'] data = [[1, 2, 3], [4, 5, 6]] df = pd.DataFrame(data, columns=column_names)

• df = pd.DataFrame({'A': [1, 4], 'B': [2, 5], 'C': [3, 6]})

• df = pd.DataFrame(data, index=['row1', 'row2'])

• df = pd.DataFrame(columns=['A', 'B', 'C'])

What is the default index of a DataFrame created from a list?

• SequentialIndex with negative numbers

• DefaultIndex with random values

• RangeIndex starting from 0

• ListIndex starting from 1

How do you create an empty DataFrame in Pandas?

• pd.DataFrame([])

• pd.DataFrame()

• pd.DataFrame({})

• pd.emptyDataFrame()

What method would you use to create a DataFrame from a NumPy array?

• Use pandas.DataFrame() method.

• Use numpy.array() method.

• Use pandas.merge() method.

• Use pandas.concat() method.

How can you specify the data types of columns when creating a DataFrame?

• Specify data types only after creating the DataFrame.

• Data types are automatically inferred from the data.

• Use the 'dtype' parameter or a dictionary mapping column names to data types.

• Use the 'format' parameter to define column types.