Deep Learning - Computer Vision for Beginners Using PyTorch - Pandas Dataframe - Load from External File

The video tutorial covers loading data into a pandas DataFrame using the read_csv function, setting a column as the index, and exploring various DataFrame methods such as head, tail, shape, and columns. It also demonstrates renaming columns, using the info and append methods, and removing duplicate entries with drop_duplicates. The tutorial provides practical examples and explanations to help learners understand and apply these pandas functionalities effectively.

What function is used to load a CSV file into a Pandas DataFrame?

• pd.load_csv

• pd.read_csv

• pd.open_csv

• pd.import_csv

Which parameter is used to skip the first row when loading a CSV file?

• skip_rows

• skip_lines

• skip_first

• skip_header

How can you set a column as the index during DataFrame creation?

• set_index

• index_col

• index_column

• set_col

Which method is used to view the first few rows of a DataFrame?

• df.top()

• df.start()

• df.head()

• df.first()

What attribute provides the number of rows and columns in a DataFrame?

• df.size

• df.length

• df.shape

• df.dimensions

How do you rename columns in a DataFrame?

• df.update_columns({})

• df.modify_columns({})

• df.change_columns({})

• df.rename(columns={})

Which method removes duplicate entries from a DataFrame?

• df.clear_duplicates()

• df.remove_duplicates()

• df.drop_duplicates()

• df.delete_duplicates()