在Pandas Dataframe中，将一系列的日期字符串转换为时间序列

在分析一个数据集的过程中，经常发生这样的情况，即日期没有以适当的类型表示，而是以简单的字符串呈现，这使得处理它们和对它们进行标准的日期-时间操作变得困难。

pandas.to_datetime() 函数有助于将一个日期字符串转换为一个Python日期对象。因此，它可以被用来将一系列的日期字符串转换为时间序列。

让我们看看一些例子。
示例 1:

# import pandas library
import pandas as pd
  
# create a series of date strings
dt_series = pd.Series(['28 July 2020', '16 January 2013',
                       '29 February 2016 18:14'])
  
# display the series initially
print("Series of date strings:")
print(dt_series)
  
# display the series after being 
# converted to a time series
print("\nSeries of date strings after" + 
       " being converted to a timeseries:")
  
print(pd.to_datetime(dt_series))

输出:

示例 2:

# import pandas library
import pandas as pd
  
# create a series of date strings
dt_series = pd.Series(['2020/07/28', '2013/01/16',
                       '2016/02/29 18:14'])
  
# display the series initially
print("Series of date strings:")
print(dt_series)
  
# display the series after being
# converted to a time series
print("\nSeries of date strings after " + 
      "being converted to a timeseries:")
  
print(pd.to_datetime(dt_series))

输出:

示例 3:

# import pandas library
import pandas as pd
  
# create a series of date strings
dt_series = pd.Series(['2020-07-28', '2013-01-16', 
                       '2016-02-29 18:14'])
  
# display the series initially
print("Series of date strings:")
print(dt_series)
  
# display the series after 
# being converted to a time series
print("\nSeries of date strings after " +
      "being converted to a timeseries:")
  
print(pd.to_datetime(dt_series))

输出:

示例 4:

# import pandas library
import pandas as pd
  
# create a series of date strings
dt_series = pd.Series(['28/07/2020', '01/16/2013', 
                       '29/02/2016 18:14'])
  
# display the series initially
print("Series of date strings:")
print(dt_series)
  
# display the series after being
# converted to a time series
print("\nSeries of date strings after " +
      "being converted to a timeseries:")
  
print(pd.to_datetime(dt_series))

输出:

示例 5:

# import pandas library
import pandas as pd
  
# create a series of date strings
dt_series = pd.Series(['20200728', '20130116', 
                       '20160229 181431'])
  
# display the series initially
print("Series of date strings:")
print(dt_series)
  
# display the series after 
# being converted to a time series
print("\nSeries of date strings after " +
      "being converted to a timeseries:")
  
print(pd.to_datetime(dt_series))

输出:

示例 6:

# import pandas library
import pandas as pd
  
# create a series of date strings
dt_series = pd.Series(['28 July 2020', '2013-01-16',
                       '20160229 18:14', '5/03/2019 2215',
                       '20151204 09:23'])
  
# display the series initially
print("Series of date strings:")
print(dt_series)
  
# display the series after 
# being converted to a time series
print("\nSeries of date strings after " + 
      "being converted to a timeseries:")
  
print(pd.to_datetime(dt_series))

输出: