这是我正在运行的代码,它创建了一个条形图,但我想为图中的每个条将彼此相距 5 美元的值组合在一起。条形图当前将所有 50 个值显示为单独的条形,使数据几乎不可读。直方图是更好的选择吗?此外,bdf 是出价,adf 是要价。
import gdax
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from gdax import *
from pandas import *
from numpy import *
s= 'sequence'
b= 'bids'
a= 'asks'
public_client = gdax.PublicClient()
o = public_client.get_product_order_book('BTC-USD', level=2)
df = pd.DataFrame(o)
bdf = pd.DataFrame(o[b],columns = ['price','size','null'], dtype='float')
adf = pd.DataFrame(o[b],columns = ['price','size','null'], dtype='float')
del bdf['null'] bdf.plot.bar(x='price', y='size')
plt.show()
pause = input('pause')
这是我作为 DataFrame 对象接收到的数据示例。
price size
0 11390.99 13.686618
1 11389.40 0.002000
2 11389.00 0.090700
3 11386.53 0.060000
4 11385.26 0.010000
5 11385.20 0.453700
6 11381.33 0.006257
7 11380.06 0.011100
8 11380.00 0.001000
9 11378.61 0.729421
10 11378.60 0.159554
11 11375.00 0.012971
12 11374.00 0.297197
13 11373.82 0.005000
14 11373.72 0.661006
15 11373.39 0.001758
16 11373.00 1.000000
17 11370.00 0.082399
18 11367.22 1.002000
19 11366.90 0.010000
20 11364.67 1.000000
21 11364.65 6.900000
22 11364.37 0.002000
23 11361.23 0.250000
24 11361.22 0.058760
25 11360.89 0.001760
26 11360.00 0.026000
27 11358.82 0.900000
28 11358.30 0.020000
29 11355.83 0.002000
30 11355.15 1.000000
31 11354.72 8.900000
32 11354.41 0.250000
33 11353.00 0.002000
34 11352.88 1.313130
35 11352.19 0.510000
36 11350.00 1.650228
37 11349.90 0.477500
38 11348.41 0.001762
39 11347.43 0.900000
40 11347.18 0.874096
41 11345.42 7.800000
42 11343.21 1.700000
43 11343.02 0.001754
44 11341.73 0.900000
45 11341.62 0.002000
46 11341.00 0.024900
47 11340.00 0.400830
48 11339.77 0.002946
49 11337.00 0.050000
熊猫是处理这些数据的最佳方式吗?