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#pyspark #python #panda
>>> ps.date_range(start='1/1/2018', periods=5, freq='M') DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30', '2018-05-31'], dtype='datetime64[ns]', freq=None)
#python #panda #opencsvfiles
import pandas as pd # pip install pandas #read the CSV file data_file = =pd.read_csv('some_file.csv') print(data_file)
Tue Oct 04 2022 13:28:17 GMT+0000 (Coordinated Universal Time) https://spark.apache.org/docs/latest/api/python/reference/pyspark.pandas/api/pyspark.pandas.date_range.html
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