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I am importing these values from a CSV file which I have read in pandas So, my question is that why we are using a double square bracket for X values and a single square bracket for the Y values???
X = df[['sqft_living']]
Y = df['price']
lm = LinearRegression()
lm.fit(X,Y)
lm.score(X,Y)
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The single and double square brackets are used as indexing operators in R Programming Language. Both of these operators are used for referencing the components of R storage objects either as a subset belonging to the same data type or as an element.
shape attribute in Pandas enables us to obtain the shape of a DataFrame. For example, if a DataFrame has a shape of (80, 10) , this implies that the DataFrame is made up of 80 rows and 10 columns of data.
Series can only contain single list with index, whereas dataframe can be made of more than one series or we can say that a dataframe is a collection of series that can be used to analyse the data.
In python, [] returns a Pandas series object while the [[]] returns a data frame.
For the fit() function, it expects the X to be a data frame with 1 or more features. hence, [[]] are used.
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