Just a IPython test

Michael Ghens

Just testing a anaconda jupyter notebook using examples from

https://blog.quantinsti.com/stock-market-data-analysis-python/

I just want to see how well it works with my Nikola blog

In [1]:

import pandas_datareader
pandas_datareader.__version__

Out[1]:

'0.8.0'

In [2]:

import pandas as pd
from pandas_datareader import data
# Set the start and end date
start_date = '1990-01-01'
end_date = '2019-02-01'
# Set the ticker
ticker = 'AMZN'
# Get the data
data = data.get_data_yahoo(ticker, start_date, end_date)
data.head()

Out[2]:

	High	Low	Open	Close	Volume	Adj Close
Date
1997-05-15	2.500000	1.927083	2.437500	1.958333	72156000.0	1.958333
1997-05-16	1.979167	1.708333	1.968750	1.729167	14700000.0	1.729167
1997-05-19	1.770833	1.625000	1.760417	1.708333	6106800.0	1.708333
1997-05-20	1.750000	1.635417	1.729167	1.635417	5467200.0	1.635417
1997-05-21	1.645833	1.375000	1.635417	1.427083	18853200.0	1.427083

In [3]:

import matplotlib.pyplot as plt
%matplotlib inline
data['Adj Close'].plot()
plt.show()

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In [4]:

# Plot the adjusted close price
data['Adj Close'].plot(figsize=(10, 7))
# Define the label for the title of the figure
plt.title("Adjusted Close Price of %s" % ticker, fontsize=16)
# Define the labels for x-axis and y-axis
plt.ylabel('Price', fontsize=14)
plt.xlabel('Year', fontsize=14)
# Plot the grid lines
plt.grid(which="major", color='k', linestyle='-.', linewidth=0.5)
# Show the plot
plt.show()

In [5]:

# Plot the adjusted close price
data['Adj Close'].plot(figsize=(10, 7))
# Define the label for the title of the figure
plt.title("Adjusted Close Price of %s" % ticker, fontsize=16)
# Define the labels for x-axis and y-axis
plt.ylabel('Price', fontsize=14)
plt.xlabel('Year', fontsize=14)
# Plot the grid lines
plt.grid(which="major", color='k', linestyle='-.', linewidth=0.5)
# Show the plot
plt.show()

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