Series.cumsum() is used to find Cumulative sum of a series. In cumulative sum, the length of returned series is same as input and every element is equal to sum of all previous elements.
Syntax: Series.cumsum(axis=None, skipna=True)
axis: 0 or ‘index’ for row wise operation and 1 or ‘columns’ for column wise operation
skipna: Skips NaN addition for elements after the very next one if True.
Result type: Series
In this example, a series is created from a Python list using Pandas .Series() method. The list also contains a Null value and the skipna parameter is kept default, that is True.
3 7 NaN 14 16 16 dtype: float64
Cumulative sum is sum of current and all previous values. As shown in above output, the addition was done as follows
3 3+4 = 7 7+NaN = NaN 7+7 = 14 14+2 = 16 16+0 = 16
Example #2: skipna=False
In this example, a series is created just like in the above example. But the
skipna parameter is kept False. Hence NULL values won’t be ignored and it would be added every time after it’s occurrence.
0 1.0 1 21.0 2 34.0 3 NaN 4 NaN 5 NaN 6 NaN 7 NaN dtype: float64
Explanation: As it can be seen in output, all the values after first occurrence of NaN are also NaN since any number + NaN is also NaN.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course