Cumulative sum of a column in Pandas - Python Last Updated : 10 Apr, 2023 Comments Improve Suggest changes Like Article Like Report Cumulative sum of a column in Pandas can be easily calculated with the use of a pre-defined function cumsum(). Syntax: cumsum(axis=None, skipna=True, *args, **kwargs)Parameters: axis: {index (0), columns (1)} skipna: Exclude NA/null values. If an entire row/column is NA, the result will be NAReturns: Cumulative sum of the column Example 1: Python3 import pandas as pd import numpy as np # Create a dataframe df1 = pd.DataFrame({"A":[2, 3, 8, 14], "B":[1, 2, 4, 3], "C":[5, 3, 9,2]}) # Computing sum over Index axis print(df1.cumsum(axis = 0)) Output: A B C 0 2 1 5 1 5 3 8 2 13 7 17 3 27 10 19 Time complexity: O(nm), where n is the number of rows and m is the number of columns in the DataFrame.Auxiliary space: O(nm), since a new DataFrame is created to store the result of the cumsum operation, which has the same dimensions as the input DataFrame. Example 2: Python3 import pandas as pd import numpy as np # Create a dataframe df1 = pd.DataFrame({"A":[None, 3, 8, 14], "B":[1, None, 4, 3], "C":[5, 3, 9,None]}) # Computing sum over Index axis print(df1.cumsum(axis = 0, skipna = True)) Output: A B C 0 NaN 1.0 5.0 1 3.0 NaN 8.0 2 11.0 5.0 17.0 3 25.0 8.0 NaN Example 3: Python3 import pandas as pd import numpy as np # Create a dataframe df1 = pd.DataFrame({"A":[2, 3, 8, 14], "B":[1, 2, 4, 3], "C":[5, 3, 9,2]}) # Computing sum over Index axis print(df1.cumsum(axis = 1)) Output: A B C 0 2 3 8 1 3 5 8 2 8 12 21 3 14 17 19 Comment More infoAdvertise with us Next Article Python | Pandas series.cummax() to find Cumulative maximum of a series N nidhi_biet Follow Improve Article Tags : Python Python-pandas Python pandas-dataFrame Practice Tags : python Similar Reads Cumulative percentage of a column in Pandas - Python Cumulative Percentage is calculated by the mathematical formula of dividing the cumulative sum of the column by the mathematical sum of all the values and then multiplying the result by 100. This is also applicable in Pandas Data frames.Here, the pre-defined cumsum() and sum() functions are used to 1 min read Python | Pandas Series.cumsum() to find cumulative sum of a Series Pandas 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) Parameters: axis: 0 or 'index' for row wise operation and 1 o 2 min read Python | Pandas Series.cummin() to find cumulative minimum of a series Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Series.cummin() is used to find Cumulative minimum of a series. In cumulative m 2 min read Quantile and Decile rank of a column in Pandas-Python Let's see how to find the Quantile and Decile ranks of a column in Pandas. We will be using the qcut() function of the pandas module. pandas.qcut() Pandas library's function qcut() is a Quantile-based discretization function. This means that it discretize the variables into equal-sized buckets based 2 min read Python | Pandas series.cummax() to find Cumulative maximum of a series Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Series.cummax() is used to find Cumulative maximum of a series. In cumulative m 3 min read Python | Pandas series.cumprod() to find Cumulative product of a Series Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Series.cumprod() is used to find Cumulative product of a series. In cumulative 3 min read Like