Data 765 Python Jeopardy

Arrays

100

import numpy as np 

a = np.array([1, 2, 3])

print(a * 2)

[2,4,6]

200

num = np.array([83.5, 79.1, 93.7, 88.6, 92.3])

output of num.max?

93.7

300

a = np.array([10, 20])

b = np.array([1, 2])

print(a / b)

[10.0, 10.0]

400

a2 = np.array([1, 2, 3])

print(a2[a2 > 1])

[2, 3]

500

arr = np.array([1, 4, 9])

print(np.sqrt(arr).sum())

6

Logic and Simulation

100

What keyword begins every function definition?

def

200

terminates a loop immediately

break

300

Programming structure that repeats a random process several times

For loop

400

ensures the same results are produced every time

Seed

500

Selects an outcome from a set of possible options

np.random.choice()

Pandas

100

common command to import pandas library

import pandas as pd

200

If a dataframe has 97,640 rows and 15 columns, what does df.shape return?

(97640,15)

300

Displays the first 5 rows by default

df.head()

400

Does .loc[0:2] include or exclude the row at index 2?

Include (Label-based slicing is inclusive).

500

What statement removes a key from a dictionary?

del

Numpy

100

Process that runs mathematical operations on entire arrays 

Vectorization

200

dtype of np.array([1, "apple", 3.0])

string

300

returns tuple describing dimensions of array

.shape

400

 NumPy equivalent of `range(start, stop, step)` in Python

np.arange

500

What function checks if two conditions are both True at the same time?

np.logical_and()

Real-world Data

100

Which common file format uses commas to separate data values?

CSV

200

Acronym used when data is missing (Not a number)

NaN

300

Returns the mean, min, and max for all numerical columns ( .__ )

.describe

400

The all-in-one command for dataset inspection

df.info()

500

What argument do you add to pd.read_csv() to use the first column as the row labels?

index_col = 0