pyspark 将 dataframe 列从时间戳转换为“YYYY-MM-DD”格式的字符串

Question

In pyspark is there a way to convert a dataframe column of timestamp datatype to a string of format 'YYYY-MM-DD' format?

Answer 1

You can use date_format function as below

from pyspark.sql.functions import date_format

df.withColumn("dateColumn",  date_format(col("vacationdate"), "yyyy-MM-dd"))

Hope this helps!

Answer 2

If you have a column with schema as

root
 |-- date: timestamp (nullable = true)

Then you can use from_unixtime function to convert the timestamp to string after converting the timestamp to bigInt using unix_timestamp function as

from pyspark.sql import functions as f
df.withColumn("date", f.from_unixtime(f.unix_timestamp(df.date), "yyyy-MM-dd"))

and you should have

root
 |-- date: string (nullable = true)

Answer 3

one other option to try out will be

from pyspark.sql import functions as F

df = df.withColumn('new_time_column', F.to_timestamp(df['Time_column'], 'yyyy-MM-dd'))

Answer 4

from pyspark.sql.functions  import date_format

df.withColumn("DateOnly", date_format('DateTime', "yyyy-MM-dd")).show()