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Assume that you set up a pandas series in the following way: values = pd.Series(data, index=idx) When the data is a scalar value, is it

Assume that you set up a pandas series in the following way:

values = pd.Series(data, index=idx)

When the data is a scalar value, is it true that you don't have to provide an index?

Select one:

a. Yes, the series will automatically create the index

b. No, you must always provide an index for a scalar value data set

Assume that you have imported pandas in the following way:

import pandas as pd

Which pandas function allows you to read in a csv file and convert that to a DataFrame object?

Select one:

a. pd.csv

b. pd.read

c. pd.read_csv

d. pd.csv_read

Imagine that you have a Pandas Dataframe object called df that contains columns with float64 data. Which of the following commands would you issue in order to see a statistical summary of the float64 columns?

Select one:

a. df.stat_sum()

b. df.describes()

c. df.summary_stat()

d. df.describe()

e. df.summary()

Imagine that you have a DataFrame object called df. What command would you issue in order to see the index?

Select one:

a. df.indexes()

b. index(df)

c. df.index()

d. df.index

e. df.indexes

Imagine that you have a DataFrame object called df and it has a column named lat. What command would you issue to plot the data in column 'lat'?

Select one:

a. plot(df[lat])

b. df[lat].plot()

c. plot(df['lat'])

d. df['lat'].plot()

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