介绍 import cufflinks as cf
cf.go_offline ()
import numpy as np
import pandas as pd
set_slippage_avg_cost =, (22.01, 20.98, 17.11, 9.06, 9.4, 3.65, 19.65, 7.01, 11.21, 10.3, 5.1, 23.98, 12.03, 8.13, 8.07, 9.28, 3.93, 4.23, 18.6, 8.22, 7.85, 5.39, 29.4, 43.96, 6.12, 15.03, 2.68, 14.25, 7.9, 2.22, 15.74, 8.83, 8.18, 7.21, 30.38, 25.46, 8.53, 8.05, 11.04, 24.95, 5.19, 6.8, 8.19, 5.44, 21.05, 7.06, 6.67, 18.61, 5.44, 2.9)
no_slippage_avg_cost =, (22.04, 21.01, 17.13, 9.07, 9.41, 3.65, 19.67, 7.02, 11.22, 10.31, 5.11, 24.01, 12.04, 8.14, 8.08, 9.29, 3.93, 4.24, 18.62, 8.23, 7.86, 5.4, 29.44, 44.01, 6.13, 15.05, 2.68, 14.27, 7.91, 2.22, 15.76, 8.84, 8.19, 7.22, 30.42, 25.49, 8.54, 8.06, 11.05, 24.98, 5.2, 6.81, 8.2, 5.45, 21.08, 7.07, 6.68, 18.63, 5.45, 2.9)
diff =, (np.array (no_slippage_avg_cost),安康;np.array (set_slippage_avg_cost)),/, np.array (set_slippage_avg_cost)
pd.Series (diff) .iplot(类型=& # 39;直方图# 39;,,箱=100,,title=& # 39; (np.array (no_slippage_avg_cost),安康;np.array (set_slippage_avg_cost)),/, np.array (set_slippage_avg_cost) & # 39;) python的数据类型有哪些吗?
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<强>计算数值出现的次数
图
python的数据类型:1。数字类型,包括int(整型),长(长整型)和浮子(浮点型)。2。字符串,分别是str类型和unicode类型。3。布尔型,Python布尔类型也是用于逻辑运算,有两个值:True(真)和虚假的(假)。4。列表,列表是Python中使用最频繁的数据类型,集合中可以放任何数据类型。5。元组,元组用“()”标识,内部元素用逗号隔开。6。字,字典典是一种键值对的集合。7。集合,集合是一个无序的,不重复的数据组合。
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