对网站日记分析其实比较常见,今天模拟演示一下一些应用场景,也顺便说说Pandas,图示部分也简单分析了下
1.数据清洗¶
一般数据都不可能直接拿来用的,或多或少都得清理一下,我这边就模拟一下清洗完的数据
In [1]:
%%time import numpy as np
import pandas as pd
Wall time: 520 ms
In [2]:
%%time # 生成一个2017年的所有时间点(分钟为单位)
datetime_index = pd.date_range("2017-01-01","2018-01-01",closed="left",freq="min")
Wall time: 4 ms
In [3]:
%%time # 简单查看一下
datetime_index # 如果你不想取到2018.01.01 00:00:00就设置~闭区间closed="left"
Wall time: 0 ns
Out[3]:
DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:01:00',
'2017-01-01 00:02:00', '2017-01-01 00:03:00',
'2017-01-01 00:04:00', '2017-01-01 00:05:00',
'2017-01-01 00:06:00', '2017-01-01 00:07:00',
'2017-01-01 00:08:00', '2017-01-01 00:09:00',
...
'2017-12-31 23:50:00', '2017-12-31 23:51:00',
'2017-12-31 23:52:00', '2017-12-31 23:53:00',
'2017-12-31 23:54:00', '2017-12-31 23:55:00',
'2017-12-31 23:56:00', '2017-12-31 23:57:00',
'2017-12-31 23:58:00', '2017-12-31 23:59:00'],
dtype='datetime64[ns]', length=525600, freq='T')
In [4]:
%%time # 查看多少元素
datetime_index.size # 用len()也一样
Wall time: 0 ns
Out[4]:
525600
In [5]:
%%time # 创建一个DataFrame,以时间轴为index
log_df = pd.DataFrame(index=datetime_index)
Wall time: 999 µs
In [6]:
%%time # 随机生成一波访问人数
log_df["访问人数"] = np.random.randint(10,50,size=datetime_index.size) # 随机生成一波注册人数
log_df["注册人数"] = np.random.randint(3,size=datetime_index.size)
Wall time: 31.2 ms
In [7]:
# 查看前10条
log_df.head(10)
Out[7]:
访问人数 | 注册人数 | |
---|---|---|
2017-01-01 00:00:00 | 42 | 0 |
2017-01-01 00:01:00 | 31 | 0 |
2017-01-01 00:02:00 | 17 | 1 |
2017-01-01 00:03:00 | 46 | 0 |
2017-01-01 00:04:00 | 41 | 1 |
2017-01-01 00:05:00 | 49 | 1 |
2017-01-01 00:06:00 | 44 | 2 |
2017-01-01 00:07:00 | 27 | 2 |
2017-01-01 00:08:00 | 30 | 0 |
2017-01-01 00:09:00 | 36 | 1 |
In [8]:
# 查看后10条
log_df.tail(10)
Out[8]:
访问人数 | 注册人数 | |
---|---|---|
2017-12-31 23:50:00 | 38 | 0 |
2017-12-31 23:51:00 | 31 | 2 |
2017-12-31 23:52:00 | 45 | 2 |
2017-12-31 23:53:00 | 44 | 0 |
2017-12-31 23:54:00 | 32 | 2 |
2017-12-31 23:55:00 | 31 | 2 |
2017-12-31 23:56:00 | 45 | 2 |
2017-12-31 23:57:00 | 18 | 2 |
2017-12-31 23:58:00 | 12 | 2 |
2017-12-31 23:59:00 | 17 | 0 |
2.粗略统计¶
In [9]:
# 查看有多少数据
log_df.size
Out[9]:
1051200
In [10]:
# 矩阵形状
log_df.shape # 525601行,2列
Out[10]:
(525600, 2)
In [11]:
%%time # 简明摘要
log_df.info()
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 525600 entries, 2017-01-01 00:00:00 to 2017-12-31 23:59:00
Freq: T
Data columns (total 2 columns):
访问人数 525600 non-null int32
注册人数 525600 non-null int32
dtypes: int32(2)
memory usage: 8.0 MB
Wall time: 12 ms
In [12]:
%%time # 初略统计一下
log_df.describe()
Wall time: 62.5 ms
Out[12]:
访问人数 | 注册人数 | |
---|---|---|
count | 525600.000000 | 525600.000000 |
mean | 29.498189 | 1.000936 |
std | 11.547677 | 0.815972 |
min | 10.000000 | 0.000000 |
25% | 19.000000 | 0.000000 |
50% | 29.000000 | 1.000000 |
75% | 40.000000 | 2.000000 |
max | 49.000000 | 2.000000 |
3.分析绘图¶
来个简单版,主要学会方法,数据用真实数据后显示会更人性化,比如可以看到哪几个月份增长比较快,那几个月比较慢
然后还可以运用于公司花钱弄推广,以前是听别的公司忽悠,可能找了很多僵尸用户,数据貌似上去了,但是你做个年度统计,看看真实活跃的用户就知道推广的成效究竟几何了
某月份¶
In [13]:
%%time from matplotlib import pyplot as plt
Wall time: 179 ms
In [14]:
%%time p_s = log_df["访问人数"].resample("D").sum() # 平均可以看mean()
r_s = log_df["注册人数"].resample("D").sum() day_df = pd.DataFrame()
day_df["访问人数"] = p_s
day_df["注册人数"] = r_s
Wall time: 49 ms
In [15]:
day_df.head(10)
Out[15]:
访问人数 | 注册人数 | |
---|---|---|
2017-01-01 | 42319 | 1400 |
2017-01-02 | 41820 | 1438 |
2017-01-03 | 42256 | 1431 |
2017-01-04 | 42097 | 1488 |
2017-01-05 | 42734 | 1498 |
2017-01-06 | 41733 | 1424 |
2017-01-07 | 43016 | 1503 |
2017-01-08 | 42480 | 1427 |
2017-01-09 | 42791 | 1428 |
2017-01-10 | 41838 | 1441 |
In [16]:
# 快速查看一下2017年1月份的统计
day_df["2017-01"]
Out[16]:
访问人数 | 注册人数 | |
---|---|---|
2017-01-01 | 42319 | 1400 |
2017-01-02 | 41820 | 1438 |
2017-01-03 | 42256 | 1431 |
2017-01-04 | 42097 | 1488 |
2017-01-05 | 42734 | 1498 |
2017-01-06 | 41733 | 1424 |
2017-01-07 | 43016 | 1503 |
2017-01-08 | 42480 | 1427 |
2017-01-09 | 42791 | 1428 |
2017-01-10 | 41838 | 1441 |
2017-01-11 | 42256 | 1464 |
2017-01-12 | 42766 | 1464 |
2017-01-13 | 42688 | 1428 |
2017-01-14 | 42436 | 1418 |
2017-01-15 | 42639 | 1429 |
2017-01-16 | 43862 | 1476 |
2017-01-17 | 41876 | 1489 |
2017-01-18 | 42821 | 1437 |
2017-01-19 | 43000 | 1399 |
2017-01-20 | 43158 | 1454 |
2017-01-21 | 42722 | 1479 |
2017-01-22 | 41985 | 1444 |
2017-01-23 | 43127 | 1460 |
2017-01-24 | 42949 | 1382 |
2017-01-25 | 42044 | 1460 |
2017-01-26 | 42809 | 1475 |
2017-01-27 | 42387 | 1450 |
2017-01-28 | 42895 | 1486 |
2017-01-29 | 41565 | 1478 |
2017-01-30 | 42523 | 1433 |
2017-01-31 | 42027 | 1488 |
In [17]:
day_df["2017-01"].index
Out[17]:
DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03', '2017-01-04',
'2017-01-05', '2017-01-06', '2017-01-07', '2017-01-08',
'2017-01-09', '2017-01-10', '2017-01-11', '2017-01-12',
'2017-01-13', '2017-01-14', '2017-01-15', '2017-01-16',
'2017-01-17', '2017-01-18', '2017-01-19', '2017-01-20',
'2017-01-21', '2017-01-22', '2017-01-23', '2017-01-24',
'2017-01-25', '2017-01-26', '2017-01-27', '2017-01-28',
'2017-01-29', '2017-01-30', '2017-01-31'],
dtype='datetime64[ns]', freq='D')
In [18]:
# 比如绘制一份1月份的访问人数一览表
plt.plot(day_df["2017-01"].index,day_df["2017-01"]["访问人数"])
plt.show()
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按照图看,15号这天用户数陡然增加,然后第二天用户骤降。
可以看看是不是被DDOS了,或者有没有用户恶意刷单 or 是不是爬虫,这时候可以采取对应的措施
In [19]:
# 比如绘制一份1月份的注册人数一览表
plt.plot(day_df["2017-01"].index,day_df["2017-01"]["注册人数"])
plt.show()
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In [20]:
%%time # 统计一下以月为单位的人数信息
p_s = log_df["访问人数"].resample("M").sum()
r_s = log_df["注册人数"].resample("M").sum() month_df = pd.DataFrame()
month_df["visitors"] = p_s
month_df["register"] = r_s
Wall time: 53 ms
In [21]:
month_df.tail(10)
Out[21]:
visitors | register | |
---|---|---|
2017-03-31 | 1314899 | 44706 |
2017-04-30 | 1276451 | 43277 |
2017-05-31 | 1316778 | 44447 |
2017-06-30 | 1276800 | 42979 |
2017-07-31 | 1319003 | 44382 |
2017-08-31 | 1316498 | 44514 |
2017-09-30 | 1275093 | 43299 |
2017-10-31 | 1313942 | 44666 |
2017-11-30 | 1271139 | 43599 |
2017-12-31 | 1315168 | 44846 |
In [22]:
# 具体项你可以指定
plt.plot(month_df.index,month_df["visitors"])
plt.show() # 图中3月是低谷
aaarticlea/png;base64,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In [23]:
%%time # 默认是折线图
month_df.plot() # 密度图
month_df.plot.density() # 柱形图(叠图,可以计算百分比)
month_df.plot.bar(stacked=True) # 水平柱形图
month_df.plot.barh() # stacked=True # 显示一下
plt.show()
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Wall time: 720 ms
某季度¶
In [24]:
%%time # 季度统计
quarter_df = pd.DataFrame()
quarter_df["visitors"] = log_df["访问人数"].resample("Q").sum()
quarter_df["register"] = log_df["注册人数"].resample("Q").sum()
Wall time: 44 ms
In [25]:
# 饼状图
quarter_df.plot.pie(subplots=True,labels=["Spr","Sum","Aut","Win"])
plt.show()
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从图片来看,基本均匀的