从timezonefinder()创建新的“timezone”列,在pyspark中输入经度和纬度列

7lrncoxx  于 2021-07-13  发布在  Spark
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我想创建一个包含等效经纬度时区的新列。已有列中的经度和纬度是timezonefinder函数的输入,即get\u timezone()。我不停地 TypeError: an integer is required (got type Column) 谢谢。

from timezonefinder import TimezoneFinder

def get_timezone(longitude, latitude):
    tzf = TimezoneFinder()
    return tzf.timezone_at(lng=longitude, lat=latitude)

location_table = location_table.withColumn("timezone", get_timezone(location_table["location_longitude"], location_table["location_latitude"]))
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<command-253463262459944> in <module>
      8 
      9 # df = sqlContext.read.parquet(INPUT)
---> 10 location_table.withColumn("timezone", get_timezone(location_table["location_longitude"].cast(IntegerType()), location_table["location_latitude"].cast(IntegerType())))
     11 #   .write.parquet(OUTPUT)

<command-253463262459944> in get_timezone(longitude, latitude)
      3 def get_timezone(longitude, latitude):
      4     tzf = TimezoneFinder()
----> 5     return tzf.timezone_at(lng=longitude, lat=latitude)
      6 
      7 # udf_timezone = F.udf(get_timezone, StringType())

/databricks/python/lib/python3.7/site-packages/timezonefinder/timezonefinder.py in timezone_at(self, lng, lat)
    657         :return: the timezone name of the matched timezone polygon. possibly "Etc/GMT+-XX" in case of an ocean timezone.
    658         """
--> 659         lng, lat = rectify_coordinates(lng, lat)
    660 
    661         shortcut_id_x, shortcut_id_y = coord2shortcut(lng, lat)

TypeError: an integer is required (got type Column)
xxls0lw8

xxls0lw81#

首先需要将函数转换为自定义项:

import pyspark.sql.functions as F
from timezonefinder import TimezoneFinder

@F.udf('string')
def get_timezone(longitude, latitude):
    if longitude is None or latitude is None:
        return None
    tzf = TimezoneFinder()
    return tzf.timezone_at(lng=longitude, lat=latitude)

location_table = location_table.withColumn("timezone", get_timezone(location_table["location_longitude"], location_table["location_latitude"]))

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