from pyspark.sql.functions import lit
df.withColumn("columnName", lit())
Here is what the above code is Doing:
1. We’re creating a new column called “columnName”
2. We’re setting the value of the new column to be the value of the “value” variable
3. We’re adding the new column to the DataFrame
#Creating a period which has a default frequency of ‘M’ Months period = pd.Period(‘2017-1′) Here is what the above code is Doing: 1. We are creating a period object with a default frequency of ‘M’ (Month) 2. The period object is created with the year 2017 and month 1 3. The period object is created…
>>> list1 = [‘a’,’b’,’c’,’d’,’e’,’f’,’g’,’h’, ‘i’, ‘j’, ‘k’, ‘l’] >>> print list1[:5] [‘a’, ‘b’, ‘c’, ‘d’, ‘e’] >>> print list1[-7:] [‘f’, ‘g’, ‘h’, ‘i’, ‘j’, ‘k’, ‘l’] # Note how you can slice either positively or negatively. # When you use a negative number, it means we slice from right to left. Here is what the…
>>> line = ‘1234567890’ >>> n = 2 >>> [line[i:i+n] for i in range(0, len(line), n)] [’12’, ’34’, ’56’, ’78’, ’90’] Here is what the above code is Doing: 1. We have a string, line, and a number, n. 2. We create a list comprehension that loops over the string, line. 3. We use the…
# To import the random module in python, do the following import random # This will import # testing print(random.randint(0, 3)) # This will print a random number from 0 to 3 # Hope this helps!! Here is what the above code is Doing: 1. It’s importing the random module. 2. It’s printing a random…
# a Python object (dict): x = { “name”: “John”, “age”: 30, “city”: “New York” } # convert into JSON: y = json.dumps(x) Here is what the above code is Doing: 1. We import the json module. 2. We create a Python dictionary. 3. We convert the dictionary into a JSON string by using the…
fruits = [“watermelon”,”banana”,”Cherry”,”pineapple”,”oranges”] vegitable = [“Tomato”,”potato”,”torry”,”bottle goud”,”bittre gourd”] #adding fruits and vegitable in a list called dirty_dozen dirty_dozen = [fruits, vegitable] print(dirty_dozen) Here is what the above code is Doing: 1. Creating a list of fruits and a list of vegetables. 2. Creating a list called dirty_dozen that contains the list of fruits and vegetables….