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?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9387a6f5-cda3-4007-8bb4-1ec0d9cc7738%2Fa96030b4-0906-43ad-b45a-b4ea4d26d2af%2F3r554u_processed.png&w=3840&q=75)
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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