Just a IPython test

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()
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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