# PANDAS -Series entry of data structures (2)
# Series mark is a one-dimensional array, it is possible to save any data type (integer, string, floating point, Python object, etc.)
# Create a new data series
# By operating value index tab (Increase)
# Through the index tag operational value (deleted), delete the data without affecting the original data table
# By an index value tag operation (change)
# By an index value tag operation (check)
# Series vector operations (+ - * / are applicable)
# If the index values do not match, it will form the value NaN
# Series name property
# Achieve the above specific operation
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