Podcast
Questions and Answers
The function func takes a file name, a label column, a test ratio, and a random state as arguments. The line df = pd.read_csv(file_name) reads the CSV file named ______ into a pandas DataFrame.
The function func takes a file name, a label column, a test ratio, and a random state as arguments. The line df = pd.read_csv(file_name) reads the CSV file named ______ into a pandas DataFrame.
file_name
The line X = df.drop(____, axis=1) removes a column from the DataFrame df and assigns the result to X. The argument axis=1 specifies that ______ are removed.
The line X = df.drop(____, axis=1) removes a column from the DataFrame df and assigns the result to X. The argument axis=1 specifies that ______ are removed.
columns
The line y = df[____] extracts a specific column from the DataFrame df into a new variable y.
The line y = df[____] extracts a specific column from the DataFrame df into a new variable y.
label_column
The line X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=____, random_state=____) splits the data into training and testing sets, and assigns the results to X_train, X_test, y_train, and y_test. The test_size argument specifies the percentage of data allocated for the testing set.
The line X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=____, random_state=____) splits the data into training and testing sets, and assigns the results to X_train, X_test, y_train, and y_test. The test_size argument specifies the percentage of data allocated for the testing set.
Signup and view all the answers
The random_state argument in train_test_split ensures the split is ______ every time the function is run.
The random_state argument in train_test_split ensures the split is ______ every time the function is run.
Signup and view all the answers
The function func returns the training and testing sets, which are X_train, X_test, y_train, and y_test. The code shows four different ways to specify the arguments needed for the train_test_split function. The first way uses columns=[label_column] to select the ______.
The function func returns the training and testing sets, which are X_train, X_test, y_train, and y_test. The code shows four different ways to specify the arguments needed for the train_test_split function. The first way uses columns=[label_column] to select the ______.
Signup and view all the answers
The second way uses df[label_column] and rand_state as arguments. In this case ______ from the DataFrame is used as the label column.
The second way uses df[label_column] and rand_state as arguments. In this case ______ from the DataFrame is used as the label column.
Signup and view all the answers
The third option uses df[test_ratio] and rand_state as arguments. This case takes advantage of the ______ stored directly in the DataFrame.
The third option uses df[test_ratio] and rand_state as arguments. This case takes advantage of the ______ stored directly in the DataFrame.
Signup and view all the answers
The fourth option uses how='all', axis=1 and df[label_column] as arguments for train_test_split and rand_state as an argument. The how='all', axis=1 argument specifies that all ______ are used to separate the data into training and testing sets.
The fourth option uses how='all', axis=1 and df[label_column] as arguments for train_test_split and rand_state as an argument. The how='all', axis=1 argument specifies that all ______ are used to separate the data into training and testing sets.
Signup and view all the answers
Which options accurately describe the code functionality? (Select all that apply)
Which options accurately describe the code functionality? (Select all that apply)
Signup and view all the answers
Flashcards
Function Definition
Function Definition
A block of code designed to perform a specific task.
pd.read_csv
pd.read_csv
A Pandas function to read CSV files into a DataFrame.
DataFrame
DataFrame
A two-dimensional, size-mutable, and potentially heterogeneous tabular data structure in Pandas.
drop() method
drop() method
Signup and view all the flashcards
iloc
iloc
Signup and view all the flashcards
X and y notation
X and y notation
Signup and view all the flashcards
train_test_split
train_test_split
Signup and view all the flashcards
test_ratio
test_ratio
Signup and view all the flashcards
rand_state
rand_state
Signup and view all the flashcards
Machine Learning Model
Machine Learning Model
Signup and view all the flashcards
Features
Features
Signup and view all the flashcards
Label
Label
Signup and view all the flashcards
Data Preparation
Data Preparation
Signup and view all the flashcards
Proportion in Statistics
Proportion in Statistics
Signup and view all the flashcards
CSV File Format
CSV File Format
Signup and view all the flashcards
Randomness
Randomness
Signup and view all the flashcards
Pandas Library
Pandas Library
Signup and view all the flashcards
Training Set
Training Set
Signup and view all the flashcards
Testing Set
Testing Set
Signup and view all the flashcards
Scikit-learn
Scikit-learn
Signup and view all the flashcards
Study Notes
Function Definition
- A function
funcis defined, taking four arguments:file_name,label_column,test_ratio, andrand_state - Reads a CSV file into a pandas DataFrame (
df) usingpd.read_csv(file_name) - Selects all columns except the first (
X = df.drop([1])) - Extracts the second column as
y - Splits the data into training and testing sets using
train_test_split()with specified parameters
Data Splitting
- Splits the data (
X,y) into training and testing sets - Uses
train_test_split(X, y, test_size= , random_state= ) - Sets
test_sizeandrandom_stateparameters.
Return Values
- Returns the training and testing sets for
Xandy: (X_train,X_test,y_train,y_test)
Steps in function
- Extracts specified column as a list:
columns=[label_column] - Extracts specified column from the DataFrame with
df [label_column] - Uses
test_ratioparameter - Sets
rand_stateparameter - Extracts specified column and creates a list:
columns= [rand_state] - Creates column list:
columns=[label_column] - Extracts column from DataFrame:
df[label_column] - Uses:
how='all', axis=1 - Specifies
rand_state
Data Extraction
- Extracts the values for
xandyfor the training and testing sets - Uses column indexes or names as parameters in the output of the
train_test_splitcall.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
This quiz focuses on the process of data splitting using Python's pandas library. You will learn how to define a function for reading and processing CSV files, selecting columns, and splitting data into training and testing sets. Test your knowledge on the key components of this essential data preparation step!
