You have read in the Iris data into a dataframe called irisDF. The dataframe has columns that include: "sepal_length", "sepal_width", and "species". There are 3 different species. What will the following code will create? for this_species in irisDF["species"].unique():
plt.plot(irisDF.loc[irisDF["species"].str.match(this_species),"sepal_length"],
irisDF.loc[irisDF["species"].str.match(this_species),"sepal_width"])
plt.xlabel("sepal_length")
plt.ylabel("sepal_width")
plt.show()

Question

You have read in the Iris data into a dataframe called irisDF.  The dataframe has columns that include: "sepal_length", "sepal_width", and "species".  There are 3 different species.  What will the following code will create? for this_species in irisDF["species"].unique(): 
     plt.plot(irisDF.loc[irisDF["species"].str.match(this_species),"sepal_length"], 
                  irisDF.loc[irisDF["species"].str.match(this_species),"sepal_width"]) 
 plt.xlabel("sepal_length") 
 plt.ylabel("sepal_width") 
 plt.show()

Accepted Answer

A single figure with 3 lines on the same plot

Answer

1 figure with 3 separate subplots

Answer

3 separate figures

Crowdly

You have read in the Iris data into a dataframe called irisDF. The dataframe ha...

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