week 4 at TU München

Flashcards and summaries for week 4 at the TU München

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Exemplary flashcards for week 4 at the TU München on StudySmarter:

What are the 2 main data structures in pandas?

Exemplary flashcards for week 4 at the TU München on StudySmarter:

Which is NOT a way you can access data at a certain location using pandas series? As an example, let’s say the series (called ser) has indices ‘apple’ and ‘orange’.

Exemplary flashcards for week 4 at the TU München on StudySmarter:

Given the following code has run successfully,

import pandas as pd
ser = pd.Series([100, 200, 300, 400, 500], index = ['tom', 'bob', 'nancy', 'dan', 'eric'])

Which of the following calls have the same output?


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Exemplary flashcards for week 4 at the TU München on StudySmarter:

If you create a DataFrame using pandas by accessing a column label that doesn’t exist, what values are present in that column?

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What is the difference between deleting a column and popping a column?

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When you import a dataset using the read_csv function in pandas, the rows of the dataset are Series.


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What is the default number of rows that the function head() will return for a dataframe in pandas?

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Exemplary flashcards for week 4 at the TU München on StudySmarter:

Which of the following will display the first 7 rows in a data frame object named df?


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Which of the following statistics does the describe() function NOT return on dataframe columns?


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What is the general syntax for calling the mode() function on a dataframe?

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d = {'one' : pd.Series([100.,200.], index=['apple','orange']),
'two' : pd.Series([111.,211], index=['apple','orange'])}
df = pd.DataFrame(d)
filter = df['one']>100
filter.any()

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Exemplary flashcards for week 4 at the TU München on StudySmarter:

What does a negative correlation score mean?

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Exemplary flashcards for week 4 at the TU München on StudySmarter:

week 4

What are the 2 main data structures in pandas?

Series

week 4

Which is NOT a way you can access data at a certain location using pandas series? As an example, let’s say the series (called ser) has indices ‘apple’ and ‘orange’.

ser.loc['apple','orange']

week 4

Given the following code has run successfully,

import pandas as pd
ser = pd.Series([100, 200, 300, 400, 500], index = ['tom', 'bob', 'nancy', 'dan', 'eric'])

Which of the following calls have the same output?


ser.loc[['tom','bob']]

week 4

If you create a DataFrame using pandas by accessing a column label that doesn’t exist, what values are present in that column?

0

week 4

What is the difference between deleting a column and popping a column?


You can store a deleted column.

week 4

When you import a dataset using the read_csv function in pandas, the rows of the dataset are Series.


True

week 4

What is the default number of rows that the function head() will return for a dataframe in pandas?

8

week 4

Which of the following will display the first 7 rows in a data frame object named df?


df.head(n=7)

week 4

Which of the following statistics does the describe() function NOT return on dataframe columns?


Min

week 4

What is the general syntax for calling the mode() function on a dataframe?

mode(data_frame)

week 4

d = {'one' : pd.Series([100.,200.], index=['apple','orange']),
'two' : pd.Series([111.,211], index=['apple','orange'])}
df = pd.DataFrame(d)
filter = df['one']>100
filter.any()

True

week 4

What does a negative correlation score mean?

There is no correlation between those features in our data set

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