如何在Pandas中用频率确定周期范围

pandas.period_range()是Pandas的一个通用函数，用于返回一个固定频率的PeriodIndex，默认频率为日（日历）。

语法: pandas.period_range(start=None, end=None, periods=None, freq=None, name=None)

参数:

start：生成周期的左边界
end：生成周期的右边界
periods: 产生的周期数
freq :频率别名
name : 产生的PeriodIndex的名称

返回：PeriodIndex

示例 1:

import pandas as pd
 
 
# initialize country
country = ["India", "Australia", "Pak", "Sri Lanka",
           "England", "Bangladesh"]
 
# perform period_range() function
match_date = pd.period_range('8/1/2020', '8/6/2020', freq='D')
 
# generates dataframes
df = pd.DataFrame(country, index=match_date, columns=['Country'])
 
df

输出:

如何在Pandas中用频率确定周期范围？

示例

import pandas as pd
 
# initialize country
Course = ["DSA", "OOPS", "DBMS", "Computer Network",
          "System design", ]
 
# perform period_range() function
webinar_month = pd.period_range('8/1/2020', '12/1/2020', freq='M')
 
# generates dataframes
df = pd.DataFrame(Course, index=webinar_month, columns=['Course'])
 
df

输出:

如何在Pandas中用频率确定周期范围？

示例 3:

import pandas as pd
 
 
# initialize gold price
gold_price = ["32k", "34k", "37k", "33k", "38k", "39k", "35k",
              "32k", "42k", "52k", "62k", "52k", "38k", "39k",
              "35k", "33k"]
 
# perform period_range() function
price_month = pd.period_range(start=pd.Period('2019Q1', freq='Q'),
                              end=pd.Period('2020Q2', freq='Q'),
                              freq='M')
 
# generates dataframes
df = pd.DataFrame(gold_price, index=price_month, columns=['Price'])
 
df