In [1]:
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('BTC-Daily.csv')
df
Out[1]:
unix date symbol open high low close Volume BTC Volume USD
0 1646092800 2022-03-01 00:00:00 BTC/USD 43221.71 43626.49 43185.48 43185.48 4.900629e+01 2.116360e+06
1 1646006400 2022-02-28 00:00:00 BTC/USD 37717.10 44256.08 37468.99 43178.98 3.160618e+03 1.364723e+08
2 1645920000 2022-02-27 00:00:00 BTC/USD 39146.66 39886.92 37015.74 37712.68 1.701817e+03 6.418008e+07
3 1645833600 2022-02-26 00:00:00 BTC/USD 39242.64 40330.99 38600.00 39146.66 9.127241e+02 3.573010e+07
4 1645747200 2022-02-25 00:00:00 BTC/USD 38360.93 39727.97 38027.61 39231.64 2.202852e+03 8.642149e+07
... ... ... ... ... ... ... ... ... ...
2646 1417478400 2014-12-02 00:00:00 BTC/USD 378.39 382.86 375.23 379.25 2.593576e+06 6.832530e+03
2647 1417392000 2014-12-01 00:00:00 BTC/USD 376.40 382.31 373.03 378.39 2.520662e+06 6.660560e+03
2648 1417305600 2014-11-30 00:00:00 BTC/USD 376.57 381.99 373.32 373.34 1.145567e+06 3.046330e+03
2649 1417219200 2014-11-29 00:00:00 BTC/USD 376.42 386.60 372.25 376.72 2.746157e+06 7.245190e+03
2650 1417132800 2014-11-28 00:00:00 BTC/USD 363.59 381.34 360.57 376.28 3.220878e+06 8.617150e+03

2651 rows × 9 columns

In [2]:
last_ten_volume = list(df["Volume USD"])[-30:]
last_ten_volume
Out[2]:
[8639.54,
 6347.26,
 3924.9,
 5544.8,
 7804.03,
 11646.6,
 6510.0,
 11146.4,
 15958.56,
 21637.58,
 23478.02,
 5677.83,
 0.0,
 561.33,
 3880.75,
 8039.95,
 16533.38,
 6579.79,
 20940.84,
 9920.84,
 2429.62,
 2300.21,
 8951.16,
 8865.09,
 7908.29,
 6832.53,
 6660.56,
 3046.33,
 7245.19,
 8617.15]
In [3]:
last_ten_dates = list(df["date"])[-30:]
last_ten_dates
Out[3]:
['2014-12-27 00:00:00',
 '2014-12-26 00:00:00',
 '2014-12-25 00:00:00',
 '2014-12-24 00:00:00',
 '2014-12-23 00:00:00',
 '2014-12-22 00:00:00',
 '2014-12-21 00:00:00',
 '2014-12-20 00:00:00',
 '2014-12-19 00:00:00',
 '2014-12-18 00:00:00',
 '2014-12-17 00:00:00',
 '2014-12-16 00:00:00',
 '2014-12-15 00:00:00',
 '2014-12-14 00:00:00',
 '2014-12-13 00:00:00',
 '2014-12-12 00:00:00',
 '2014-12-11 00:00:00',
 '2014-12-10 00:00:00',
 '2014-12-09 00:00:00',
 '2014-12-08 00:00:00',
 '2014-12-07 00:00:00',
 '2014-12-06 00:00:00',
 '2014-12-05 00:00:00',
 '2014-12-04 00:00:00',
 '2014-12-03 00:00:00',
 '2014-12-02 00:00:00',
 '2014-12-01 00:00:00',
 '2014-11-30 00:00:00',
 '2014-11-29 00:00:00',
 '2014-11-28 00:00:00']
In [4]:
only_dates = []
for a in last_ten_dates:
    only_dates.append(a[:30])
In [6]:
plt.figure(figsize=(30,10))
plt.plot(last_ten_volume, only_dates)
Out[6]:
[<matplotlib.lines.Line2D at 0x153f021df40>]
In [ ]: