Python program to find non-numeric rows in dataframe in pandas# Importing pandas package import pandas as pd # Importing numpy package import numpy as np # Creating a Dictionary d = { 'col1':[12,24,36,48,60], 'col2':[13,26,39,52,65], 'col3':['a','b','c','d','e'] }...
import pyspark.sql.functions as F from pyspark.sql.types import ArrayType, StringType clear_duplicates = F.udf(lambda x: list(set(x)), ArrayType(StringType())) def get_modelling_data(df): select_cols = ["Falls within", "Town_City", "Crime type", "Last outcome category", "Month_of...