Python | Pandas data frame.between_time()
原文:https://www.geesforgeks.org/python-pandas-data frame-between_time/
Python 是进行数据分析的优秀语言,主要是因为以数据为中心的 python 包的奇妙生态系统。 【熊猫】 就是其中一个包,让导入和分析数据变得容易多了。
熊猫 **dataframe.between_time()**
用于选择一天中特定时间(如上午 9:00-9:30)之间的数值。与dataframe.at_time()
函数不同,该函数提取一定时间范围内的值。该函数仅用于时间序列数据。数据框的索引必须是日期时间索引,以便能够使用此功能。
语法:data frame.between_time(start_time,end_time,include_start =真,include_end =真)
参数: start_time:datetime.time 或 string end_time:datetime.time 或 string include_start:布尔值,默认为 True include_end : 布尔值,默认为 True
返回:值_介于_时间:调用者类型
注意: between_time()
函数在数据帧的索引不是 DatetimeIndex 时引发异常
示例#1: 使用between_time()
函数查找给定时间间隔之间的值。
# importing pandas as pd
import pandas as pd
# Creating row index values for dataframe
# Taken time frequency to be of 30 minutes interval
# Generating eight index value using "period = 8" parameter
ind = pd.date_range('01/01/2000', periods = 8, freq ='30T')
# Creating a dataframe with 2 columns
# using "ind" as the index for dataframe
df = pd.DataFrame({"A":[1, 2, 3, 4, 5, 6, 7, 8],
"B":[10, 20, 30, 40, 50, 60, 70, 80]},
index = ind)
# Printing the dataframe
df
现在让我们查询“02:00”到“03:30”之间的时间
# Find the row values between time "02:00" to "03:30"
df.between_time('02:00', '03:30')
输出:
示例 2: 使用between_time()
函数查找给定时间间隔之间的值,同时排除开始和结束时间。
# importing pandas as pd
import pandas as pd
# Creating row index values for our data frame
# Taken time frequency to be of 30 minutes interval
# Generating eight index value using "period = 8" parameter
ind = pd.date_range('01/01/2000', periods = 8, freq ='30T')
# Creating a dataframe with 2 columns
# using "ind" as the index for our dataframe
df = pd.DataFrame({"A":[1, 2, 3, 4, 5, 6, 7, 8],
"B":[10, 20, 30, 40, 50, 60, 70, 80]},
index = ind)
# query for time between "02:00" to "03:30" with
# both the start and end time values being excluded
df.between_time('02:00', '03:30', include_start = False,
include_end = False)
输出:
请注意,对应于开始时间和结束时间的值不包括在between_time()
函数返回的数据帧中。