[matplotlib]S5_01_single_line_plot

coin_daily_prices.csv

0.14MB

 

 

 

data

https://www.kaggle.com/datasets/sudalairajkumar/cryptocurrencypricehistory?resource=download&select=coin_Litecoin.csv

 

In [29]:

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

 

In [32]:

investment_df = pd.read_csv('coin_daily_prices.csv')
investment_df

 

Out[32]:

	Date	BTC-USD Price	ETH-USD Price	LTC-USD Price
0	2013-04-29 23:59	134.444000	NaN	4.366760
1	2013-04-30 23:59	144.000000	NaN	4.403520
2	2013-05-01 23:59	139.000000	NaN	4.289540
3	2013-05-02 23:59	116.379997	NaN	3.780020
4	2013-05-03 23:59	106.250000	NaN	3.390440
...	...	...	...	...
2986	2021-07-02 23:59	33549.600180	2109.892677	137.299274
2987	2021-07-03 23:59	33854.421360	2150.835025	136.930584
2988	2021-07-04 23:59	34665.564870	2226.550382	140.317998
2989	2021-07-05 23:59	35284.344430	2321.922836	144.849333
2990	2021-07-06 23:59	33723.509660	2197.919385	137.951668

2991 rows × 4 columns

 

 

plot(x=, y=, label=, linewidth=, figsize =)

 

In [37]:

# plot the data
investment_df.plot(x='Date', y='BTC-USD Price', label= 'Bitcoin Price', linewidth=3, figsize =(14,6))
plt.ylabel('Price [$]')
plt.xlabel('Date')
plt.title('BTC-USD Daily Price')
plt.legend(loc = 'upper right')
plt.grid()