basic graphing.py

import pandas as pd
import matplotlib
matplotlib.style.use('ggplot') # Look Pretty
# If the above line throws an error, use plt.style.use('ggplot') instead

student_dataset = pd.read_csv("E://Python/students/students.data", index_col=0)

my_series = student_dataset.G3
my_dataframe = student_dataset[['G3', 'G2', 'G1']] 

my_series.plot.hist(alpha=0.5)
my_dataframe.plot.hist(alpha=0.5)

#=============================================
# scatter plot
#=============================================

student_dataset.plot.scatter(x='G1', y='G3')

# different method
import matplotlib.pyplot as plt

my_dataframe.plot.scatter(x='G1', y='G3')
plt.suptitle('sub title')
plt.xlabel('X')
plt.ylabel('Y')

plt.show()

#=============================================
# 3D plotting
#=============================================

#import matplotlib
#import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
#import pandas as pd
# matplotlib.style.use('ggplot') # Look Pretty
# If the above line throws an error, use plt.style.use('ggplot') instead

# student_dataset = pd.read_csv("/Datasets/students.data", index_col=0)

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_xlabel('Final Grade')
ax.set_ylabel('First Grade')
ax.set_zlabel('Daily Alcohol')

ax.scatter(student_dataset.G1, student_dataset.G3, student_dataset['Dalc'], c='r', marker='.')
plt.show()