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Lære Introduction to NumPy | Explore Dataset
Introduction to Python for Data Analysis

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Introduction to NumPy

NumPy is another crucial library to work with numbers especially. In this chapter, we will learn how to use NumPy to find mean, median or mode values. But to use this library, you must first import it; the alias for NumPy is usually np. Look at the example: import numpy as np.

Imagine that we work with this simple list while learning functions:

data = [1, 12, 14, 50]

Function titleImplementationResult
np.mean(data)Finds the mean value of list19.25
np.median(data)Finds the median value of list13.0
np.sum(data)Finds the sum of all values in list77
np.size(data)Finds the amount of values in list4
np.min(data)Finds the minimum value of all values in list1
np.max(data)Finds the maximim value of all values in list50
Oppgave

Swipe to start coding

Your tasks here are to find the number of users, figure out the maximum and the minimum possible values of price column, and then find the median value of the price.

Follow the algorithm:

  1. Import the numpy with the np alias.
  2. In the column 'user_id' find the size.
  3. In the column 'price' find max and min values.
  4. In the column 'price' find median value.

Løsning

# Import the numpy
import numpy as np
import pandas as pd

# Read the file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/783d7288-e86b-4b89-9966-a2fe97995277/section_2_dataset_upd.csv')

# Find the number of users
amount_of_users = np.size(df['user_id'])
# Figure out the maximum price
max_price = np.max(df['price'])
# Figure out the minimum price
min_price = np.min(df['price'])
# Figure out the median price
median_price = np.median(df['price'])

print(amount_of_users)
print(max_price)
print(min_price)
print(median_price)

Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 10
# Import the numpy
___
import pandas as pd

# Read the file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/783d7288-e86b-4b89-9966-a2fe97995277/section_2_dataset_upd.csv')

# Find the amount of users
amount_of_users = np.___(df['___'])
# Figure out the maximum price
max_price = ___.___(df[___])
# Figure out the minimum price
min_price = ___(___)
# Figure out the median price
median_price = ___

print(amount_of_users)
print(max_price)
print(min_price)
print(median_price)

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