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Np.array() + np.array()Ĭan you tell which code chunk builds the exact same Python object? The numpy package is already imported as np, so you can start experimenting in the IPython Shell straight away! Second, the typical arithmetic operators, such as +, -, * and / have a different meaning for regular Python lists and numpy arrays. If you try to build such a list, some of the elements' types are changed to end up with a homogeneous list. If you compare its functionality with regular Python lists, however, some things have changed.įirst of all, numpy arrays cannot contain elements with different types. Print(light) Print out BMIs of all baseball players whose BMI is below 21Īs Filip explained before, numpy is great for doing vector arithmetic. Np_weight_kg = np.array(weight) * 0.453592īmi = np_weight_kg / np_height_m ** 2 Create the light array Import numpy as np Calculate the BMI: bmi Page Break height and weight are available as a regular lists Import numpy Np_weight_kg = np.array(weight) * 0.453592 Calculate the BMI: bmiīmi = np_weight_kg / (np_height_m ** 2) Print out bmi Np_height_m = np.array(height) * 0.0254 Create array from weight with correct units: np_weight_kg Import numpy as np Create array from height with correct units: np_height_m Print out the type of np_baseball to check that you got it right height and weight are available as a regular lists Import numpy Use np.array() to create a numpy array from baseball. Import the numpy package as np, so that you can refer to numpy with np. Can you add some code here and there to create a numpy array from it? Along the way, you'll get comfortable with the basics of numpy, a powerful package to do data science.Ī list baseball has already been defined in the Python script, representing the height of some baseball players in centimeters. In this chapter, we're going to dive into the world of baseball. Np_baseball = np.array(baseball) Print out type of np_baseball Import numpy as np Create a numpy array from baseball: np_baseball Store in dist.īaseball = Import the numpy package as np R = 192500 Import radians function of math packageįrom math import radians Travel distance of Moon over 12 degrees. Instead of importing the entire package we can call just a specific function we can call:įrom numpy import array Definition of radius

#Datacamp scatter plot matplotlib how to#

How to install Packages fro python? Use PIP which comes bundled with Python 2.7 or 3.6 Print (areas) Reverse the orders of the elements in areas

Print(unt(14.5)) Create list areasĪreas = Use append twice to add poolhouse and garage sizeĪreas.append(24.5) areas.append(15.45) Print out areas Print(areas.index(20.0)) Print out how often 14.5 appears in areas Print(room_up) Print out the number of o's in roomĪreas = Print out the index of the element 20.0 Room_up = room.upper() Print out room and room_up Room = 'poolhouse' Use upper() on room: room_up Methods: Functions that belong to Python objects

#Datacamp scatter plot matplotlib full#

Print (full) Sort full in descending order: full_sortedįull_sorted = sorted(full, reverse = True) Print out full_sorted Second = Paste together first and second: full You've also used the functions str(), int(), bool() and float() to switch between data types. You already know two such functions: print() and type(). Out of the box, Python offers a bunch of built-in functions to make your life as a data scientist easier. Round(number) means this part is optional If you try to assign an equals operator, you are only assigning a reference to the list (pass by reference vs pass by value) 'The correct answer to this multiple choice exercise is answer number ' + 2 = wrong 'I said ' + ('Hey ' * 2) + 'Hey!' = I said Hey Hey Hey 'I can add integers, like ' + str(5) + ' to strings.' operator behaves differently based on data types.Python-for-Datascience: Datacamp Introduction:Ĭheck the type of variables using type(vars)įloat – real numbers with both whole and fractional components for a number