[matplotlib]S5_05_Scatterplot

coin_daily_prices.csv

0.14MB

 

 

In [ ]:

import matplotlib.pyplot as plt
import pandas as pd
import datetime

 

In [63]:

# data
return_df = pd.read_csv('coin_daily_returns.csv'); return_df

 

Out[63]:

	Date	BTC	ETH	LTC
0	2013-04-29 23:59	7.509441	NaN	0.392520
1	2013-04-30 23:59	-3.472222	NaN	-2.430554
2	2013-05-01 23:59	-15.834534	NaN	-11.388866
3	2013-05-02 23:59	-9.597868	NaN	-10.794653
4	2013-05-03 23:59	-8.000000	NaN	-10.191304
...	...	...	...	...
2986	2021-07-02 23:59	1.035626	1.902831	-0.258980
2987	2021-07-03 23:59	2.404788	3.500001	2.445841
2988	2021-07-04 23:59	1.794908	4.274493	3.269610
2989	2021-07-05 23:59	-4.359843	-5.311993	-4.678025
2990	2021-07-06 23:59	1.517291	5.767275	0.749515

2991 rows × 4 columns

 

In [64]:

# Plot
return_df.plot.scatter('BTC','ETH', grid= True, figsize = (12,7))

 

Out[64]:

<matplotlib.axes._subplots.AxesSubplot at 0x7f1197731d00>