如何从 pandasql 中的日期中提取日期特征？

Question

我需要使用 pandasql 从 pandas 数据框的日期列中提取日期特征（日、周、月、年）。我似乎无法找到 SQL pandasql 正在使用的版本，所以我不确定如何完成这项壮举。有没有其他人尝试过类似的东西？

这是我目前的情况：

#import the needed libraries
import numpy as np
import pandas as pd
import pandasql as psql

#establish dataset
doc = 'room_data.csv'
df = pd.read_csv(doc)
df.head()

df2 = psql.sqldf('''
SELECT
    Timestamp
    , EXTRACT (DAY FROM "Timestamp") AS Day --DOES NOT WORK IN THIS VERSION OF SQL
    , Temperature
    , Humidity
    
FROM df
''')
df2.head()

数据框示例：

Answer 1

给你：

df['year'] = pd.DatetimeIndex(df['date']).year
df['month'] = pd.DatetimeIndex(df['date']).month
df['day'] = pd.DatetimeIndex(df['date']).day

Answer 2

据我所知，SQLite 不支持 EXTRACT() 函数。

你可以试试strftime('%d', Timestamp)

psql.sqldf('''SELECT

  Timestamp
, strftime('%d', Timestamp) AS Day 
, Temperature
, Humidity

 FROM df
 ''')

考虑以下演示上述查询的示例：

示例数据帧：

np.random.seed(123)
dates = pd.date_range('01-01-2020','01-05-2020',freq='H')
temp = np.random.randint(0,100,97)
humidity = np.random.randint(20,100,97)
df = pd.DataFrame({"Timestamp":dates,"Temperature":temp,"Humidity":humidity})
print(df.head())

            Timestamp  Temperature  Humidity
0 2020-01-01 00:00:00           66        29
1 2020-01-01 01:00:00           92        43
2 2020-01-01 02:00:00           98        34
3 2020-01-01 03:00:00           17        58
4 2020-01-01 04:00:00           83        39

工作查询：

import pandasql as ps
query = '''SELECT
      Timestamp
    , strftime('%d', Timestamp) AS Day 
    , Temperature
    , Humidity
    FROM df'''
print(ps.sqldf(query).head())

                    Timestamp Day  Temperature  Humidity
0  2020-01-01 00:00:00.000000  01           66        29
1  2020-01-01 01:00:00.000000  01           92        43
2  2020-01-01 02:00:00.000000  01           98        34
3  2020-01-01 03:00:00.000000  01           17        58
4  2020-01-01 04:00:00.000000  01           83        39

您可以获取更多详情here获取更多日期提取函数，常用的如下：

import pandasql as ps
query = '''SELECT
      Timestamp
    , strftime('%d', Timestamp) AS Day 
    ,strftime('%m', Timestamp) AS Month 
    ,strftime('%Y', Timestamp) AS Year 
    ,strftime('%H', Timestamp) AS Hour 
    , Temperature
    , Humidity
    FROM df'''
print(ps.sqldf(query).head())

                    Timestamp Day Month  Year Hour  Temperature  Humidity
0  2020-01-01 00:00:00.000000  01    01  2020   00           66        29
1  2020-01-01 01:00:00.000000  01    01  2020   01           92        34
2  2020-01-01 02:00:00.000000  01    01  2020   02           98        90
3  2020-01-01 03:00:00.000000  01    01  2020   03           17        32
4  2020-01-01 04:00:00.000000  01    01  2020   04           83        74

如何从 pandasql 中的日期中提取日期特征？

How can one extract date features from a date in pandasql?

python

python-3.x

pandas

pandasql