Resampling time series in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to resample the time series data to daily frequency.

Data Analysis Python

daily_data = data.[1]('D').mean()

Drag options to blanks, or click blank then click option'

Asort

Bgroupby

Cpivot

Dresample

Attempts:

3 left

💡 Hint

Common Mistakes

Using groupby instead of resample

Trying to use pivot which is for reshaping data

Using sort which only orders data

The resample method is used to change the frequency of time series data. Here, 'D' means daily frequency.

2fill in blank

medium

Complete the code to resample the data to monthly frequency and sum the values.

Data Analysis Python

monthly_sum = data.[1]('M').sum()

Drag options to blanks, or click blank then click option'

Aresample

Baggregate

Cfilter

Dgroupby

Attempts:

3 left

💡 Hint

Common Mistakes

Using groupby which does not work directly on time index

Using aggregate without resampling first

Use resample with 'M' for monthly frequency, then sum the values.

3fill in blank

hard

Fix the error in the code to resample data to hourly frequency and take the mean.

Data Analysis Python

hourly_mean = data.[1]('H').mean()

Drag options to blanks, or click blank then click option'

Agroupby

Brolling

Cresample

Dshift

Attempts:

3 left

💡 Hint

Common Mistakes

Using groupby which does not handle time frequency

Using rolling which is for moving averages

The resample method is correct for changing frequency to hourly ('H').

4fill in blank

hard

Fill both blanks to create a dictionary of weekly max values for each column in the DataFrame.

Data Analysis Python

weekly_max = {col: data[col].[1]('W').[2]() for col in data.columns}

Drag options to blanks, or click blank then click option'

Aresample

Bgroupby

Cmax

Dmean

Attempts:

3 left

💡 Hint

Common Mistakes

Using groupby instead of resample

Using mean instead of max

Use resample('W') to get weekly data, then max() to find the maximum value.

5fill in blank

hard

Fill all three blanks to create a dictionary of resampled data with minimum values monthly for each column.

Data Analysis Python

monthly_min = [1]: data[[2]].[3]('M').min() for [1] in data.columns

Drag options to blanks, or click blank then click option'

Acol

Cresample

Dgroupby

Attempts:

3 left

💡 Hint

Common Mistakes

Using groupby instead of resample

Using inconsistent variable names in comprehension

Use a dictionary comprehension with col as the variable, resample monthly with resample('M'), then find the minimum.