Python| pandas.period_range() 方法

Python是一种用于进行数据分析的出色语言，主要是因为以数据为中心的Python包的奇妙生态系统。 Pandas 就是其中之一，它使导入和分析数据变得更加容易。

pandas.period_range()是 Pandas 中的通用函数之一，用于返回固定频率 PeriodIndex，默认频率为 day（日历）。

Syntax: pandas.to_numeric(arg, errors=’raise’, downcast=None)

Parameters:
start : Left bound for generating periods
end : Right bound for generating periods
periods : Number of periods to generate
freq : Frequency alias
name : Name of the resulting PeriodIndex

Returns: PeriodIndex

代码#1：

# importing pandas as pd
import pandas as pd
  
# period_range with freq = day
per1 = pd.period_range(start ='2018-12-20',
              end ='2019-01-01', freq ='D')
  
# period_range with freq = month
per2 = pd.period_range(start ='2018-12-20',
              end ='2019-12-01', freq ='M')
  
print(per1, "\n\n", per2)

输出：

代码#2：

# importing pandas as pd
import pandas as pd
  
# period_range with freq = day
per1 = pd.period_range(start ='2018-12-20', 
              end ='2019-01-01', freq ='D')
  
for val in per1:
    print(val)

输出：
代码#3：

# importing pandas as pd
import pandas as pd
  
# Calling with pd.Period
per = pd.period_range(start = pd.Period('2017Q1', freq ='Q'),
                end = pd.Period('2018Q2', freq ='Q'), freq ='M')
  
for val in per:
    print(val)

输出：