Hi Quantopian peeps,
Sorry for a newbie question, but I'm trying to get some rudimentary things working.
I'm trying to plot some line charts with tsplot, but am stuck here:
syms = symbols(['AAPL', 'IBM', 'MSFT', 'SBUX', 'SPY'])
aapl, ibm, msft, sbux, spy = syms
df = get_pricing(syms)['price']
import pandas as pd
melted_df = pd.melt(df, var_name='Security', value_name='Price') # melts the dataframe, but not to a point where I can feed it to sns.tsplot
#melted_df = pd.melt(df, id_vars='index', var_name='Security', value_name='Price') # can't get this to work
sns.tsplot(melted_df, time='Datetime', value='Security', condition='Price') # end goal Any ideas how I can get over this hurdle?
This works:
df.plot()
Is it better to add more timeseries data to the dataframe and plot it using dataframe's plot vs massaging everything to fit into seaborn's tsplot?
Thank you for your time!
