FinTech 03-3 Pandas

FinTech 03-3 Pandas

Professional Development

10 Qs

quiz-placeholder

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FinTech 03-3 Pandas

FinTech 03-3 Pandas

Assessment

Quiz

Computers, Other

Professional Development

Hard

Created by

Louis Burns

Used 2+ times

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10 questions

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1.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which were objectives of Unit 03 Day 3 Python-Pandas?

Grouping data in DataFrames

Plotting with matplotlib

Working with datetime data

Applying mean, median, and standard deviation

Describe and calculate Sharpe ratios

2.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which Pandas functions did we use?

concat()

sort_values()

random()

groupby()

std()

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What must you do with a groupby object to display results?

Call an aggregating function on it

Specify columns to sort

Sort the result

Plot it

4.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which are aggregating functions?

.count()

.divide()

.sum()

.mean()

.max()

5.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which steps could you perform to prepare a stock price data set for analysis?

Convert any time data into datetime type

Drop or fill null values

Group by company CEO

Remove non-numeric characters like $

Set a multi-index to group dates and tickers

6.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

What do you need to know before joining two data sets?

If you're joining columns or rows

The names of the files or DataFrames

Which records you want to keep if they don't match

How many rows each data set has

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is the Pandas syntax to create df3 by concatenating df1 and df2 as additional rows?

df3 = pd.concat(df1, df2)

df3 = concat(df1, df2, join = 'outer')

df3 = pd.concat(df1, df2, axis = 1)

df3 = concat(df1, df2, axis = 'rows')

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