Question
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()
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started