08-1 Times Series Line Plots.md

Financial Time Series Line Plots

This example demonstrates making line plots using Pandas and Matplotlib.

# Python for Finance, 2nd ed., Hilpisch, Ives
# Chapter 8 - Financial Time Series
# Figure 8-1 Financial time series data as line plots
# Python 3
# https://stooq.com/db/h/
# https://matplotlib.org/3.1.0/tutorials/introductory/usage.html#sphx-glr-tutorials-introductory-usage-py
# https://matplotlib.org/3.1.0/gallery/subplots_axes_and_figures/subplots_demo.html

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

import warnings
warnings.filterwarnings('ignore')

%matplotlib inline

data = pd.read_csv('data.csv', index_col=0, parse_dates=True)

# Create subplots
fig, axs = plt.subplots(12, 1, figsize=(16,24))
plt.subplots_adjust(top=1, bottom=0, hspace=0.5)

i = 0
while i < 12:
    axs[i].plot(data.iloc[:,i])
    axs[i].set(title=data.columns[i], ylabel='Closing Price')
    
    if i==11:
        axs[i].set(title=data.columns[i], xlabel='Date')
        
    i = i + 1

plt.savefig('PFF_Ch8_8-1.png')