将熊猫数据框中的一系列日期字符串转换为时间序列
原文:https://www . geesforgeks . org/convert-a-series-of-date-string-a-time-series-in-pandas-data frame/
在分析数据集的过程中，经常会发生日期没有以适当的类型表示，而是以简单的字符串形式出现的情况，这使得很难处理它们并对它们执行标准的日期时间操作。
pandas . to _ datetime()函数有助于将日期字符串转换为 python 日期对象。因此，它可以用于将一系列日期字符串转换为时间序列。
我们来看一些例子: 例 1:****
Python 3
# 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:*
*例 2:*
Python 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:*
*例 3:*
Python 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:*
*例 4:*
Python 3
# 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:*
*例 5:*
Python 3
# 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:*
*例 6:*
Python 3
# 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:*
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