Analyze Financial Data with Python - Visualizing Finance Data

                                

from matplotlib import pyplot as plt
# Now you can use plt to create plots


                              

                                

from matplotlib import pyplot as plt
# Example of a basic plot
plt.plot([1, 2, 3], [4, 5, 6])
plt.show()
# This code plots a simple line graph


                              

                                

x = range(12)
y = [2, 8, 20, 40, 70, 300, 930, 7000, 68000, 500000, 4000000, 2000000]
plt.plot(x, y)
plt.axis([0, 11, 300, 500000])
plt.show()
# This sets the limits for the x and y axes and plots the data


                              

                                

from matplotlib import pyplot as plt
days = [1, 2, 3, 4]
money_spent = [10, 20, 30, 40]
plt.plot(days, money_spent, color='green', linestyle='--', marker='o')
plt.show()
# This plots a line with green dashed style and circular markers


                              

                                

import matplotlib.pyplot as plt
plt.subplot(1, 2, 1)
plt.plot([1, 2, 3], [4, 5, 6])
plt.subplot(1, 2, 2)
plt.plot([1, 2, 3], [6, 5, 4])
plt.subplots_adjust(wspace=0.5)
plt.show()
# Adjusts space between two plots side by side


                              

                                

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [1, 4, 9])
ax.set_xticks([1, 2, 3])
plt.show()
# Sets specific positions for x-axis ticks


                              

                                

import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [1, 2, 3, 4]
plt.subplot(1, 2, 1)
plt.plot(x, y, color='green')
plt.title('First Plot')
plt.subplot(1, 2, 2)
plt.plot(x, y, color='blue')
plt.title('Second Plot')
plt.show()
# Creates a figure with two side-by-side plots