Gold Market Analysis

Author: Kat Chuang @katychuang on Twitter

Data from Yahoo Finance, saved as gld.csv



In [1]:

    
#keeps figures in notebook
%pylab inline 

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









    



Populating the interactive namespace from numpy and matplotlib



In [2]:

    
df = pd.read_csv('gld.csv')



In [3]:

    
# Show column headings
df.columns









    Out[3]:





Index([Date, Open, High, Low, Close, Volume, Adj Close], dtype=object)



In [4]:

    
# Plot the following as timeseries
ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2004', periods=1000))
ts = ts.cumsum()
ts.plot()









    Out[4]:





<matplotlib.axes.AxesSubplot at 0x10692bc90>