Complete the code to create a pandas Series from a list.
import pandas as pd s = pd.Series([1]) print(s)
The pd.Series function takes a list to create a Series. Lists are enclosed in square brackets [].
Complete the code to create a Series with custom labels (index).
import pandas as pd s = pd.Series([1, 2, 3], index=[1]) print(s)
The index parameter expects a list of labels. Use square brackets with strings like ['a', 'b', 'c'].
Fix the error in the code to access the value with label 'b' from the Series.
import pandas as pd s = pd.Series([10, 20, 30], index=['a', 'b', 'c']) value = s[[1]] print(value)
To access a value by label, use the label as a string inside quotes: s['b'].
Fill both blanks to create a Series from a dictionary and print its index labels.
import pandas as pd data = [1] s = pd.Series(data) print(s.[2])
keys instead of index to get labels.A Series can be created from a dictionary. The index attribute shows the labels.
Fill all three blanks to create a Series with custom labels, access a value by label, and print the values as a list.
import pandas as pd s = pd.Series([1], index=[2]) value = s[[3]] print(list(s.values))
Create the Series with values and labels, access the value by label 'two', and print all values as a list.