import pandas as pd
import matplotlib.pyplot as plt
import matplotlib

# Look pretty...
plt.style.use('ggplot')

# TODO: Load up the Seeds Dataset into a Dataframe
# It's located at 'Datasets/wheat.data'
df = pd.read_csv('Datasets/wheat.data')

# TODO: Create a 2d scatter plot that graphs the
# area and perimeter features
df.plot(kind='scatter', x='area', y='perimeter', marker='o')

# TODO: Create a 2d scatter plot that graphs the
# groove and asymmetry features
df.plot(kind='scatter', x='groove', y='asymmetry')

# TODO: Create a 2d scatter plot that graphs the
# compactness and width features
df.plot(kind='scatter', x='compactness', y='width')

# BONUS TODO:
# After completing the above, go ahead and run your program
# Check out the results, and see what happens when you add
# in the optional display parameter marker with values of
# either '^', '.', or 'o'.


plt.show()
