A data structure library

A statistical data visualization library

A machine learning library

A web development framework

A stacked bar chart for each feature coloured by species

A grid of boxplots comparing feature distributions coloured by species

Violin plots comparing features coloured by species

A grid of scatterplots and histograms coloured by species

It changes the background color of the plot

It sets a fixed color for all elements in the plot

It adds a title to the color legend

It maps a categorical variable to different colors, helping to distinguish groups

Width and weight follow a moderate increasing relationship

Length and width follow a linear relationship

Weight and length follow a weak positive relationship

Length and width follow a strong positive relationship

.iloc[] is faster than .loc[]

.iloc[] accesses rows only, .loc[] accesses columns only

Both are integer position-based

.loc[] is label-based, .iloc[] is integer position-based

Rows with scores 60 and 90

All of the rows

Only the row with score 40

A list of all column names.

A series containing the values of the specified column.

A string corresponding to the column name/label.

A DataFrame with all columns except the specified one.

pd.read_csv()

pd.get_csv()

pd.import_csv()

pd.load_csv()