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Exercise 7: We have two Series defined as follows: available: import pandas as pd s1 = pd. Series([11, 25, 55, 10], index s2 = pd. Series([20, 30, 40]) We create a DataFrame by: = ['g', 'r', 'p', 'a']) df = pd.DataFrame({"coll": s1, "col2": s2}) a) What is len(df.index)? Why? b) Why are all the NaN values created in df?

Exercise 7: We have two Series defined as follows: available: import pandas as pd s1 = pd. Series([11, 25, 55, 10], index s2 = pd. Series([20, 30, 40]) We create a DataFrame by: = ['g', 'r', 'p', 'a']) df = pd.DataFrame({"coll": s1, "col2": s2}) a) What is len(df.index)? Why? b) Why are all the NaN values created in df?

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Exercise 7: We have two Series defined as follows: available: import pandas as pd s1 = pd. Series ([11, 25, 55, 10], index = ['g', 'r', 'p', 'a']) s2 = pd. Series ([20, 30, 40]) We create a DataFrame by: df = pd.DataFrame({"coll": 1, "col2": s2}) a) What is len(df.index)? Why? b) Why are all the NaN values created in df?
Transcribed Image Text:Exercise 7: We have two Series defined as follows: available: import pandas as pd s1 = pd. Series ([11, 25, 55, 10], index = ['g', 'r', 'p', 'a']) s2 = pd. Series ([20, 30, 40]) We create a DataFrame by: df = pd.DataFrame({"coll": 1, "col2": s2}) a) What is len(df.index)? Why? b) Why are all the NaN values created in df?
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