Python | Pandas Panel.sum() Last Updated : 01 Jan, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data. Panel.sum() function is used to return the sum of the values for the requested axis. Syntax: Panel.sum(axis=None, skipna=None, level=None, numeric_only=None, min_count=0, **kwargs) Parameters: axis : {items (0), major_axis (1), minor_axis (2)} skipna : Exclude NA/null values when computing the result. level : If the axis is a MultiIndex, count along a particular level, collapsing into a DataFrame numeric_only : Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. min_count : The required number of valid values to perform the operation. Returns: DataFrame or Panel Code #1: Python3 1== # importing pandas module import pandas as pd import numpy as np df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 'b': [11, 1.025, 333, 114.48, 1333]}) data = {'item1':df1, 'item2':df1} # creating Panel panel = pd.Panel.from_dict(data, orient ='minor') print(panel['b'], '\n') print("\n", panel['b'].sum(axis = 0)) Output: Code #2: Python3 1== # importing pandas module import pandas as pd import numpy as np df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 'b': [33.0, -152.140, 3.0133, 114.48, 13.033]}) data = {'item1':df1, 'item2':df1} # creating Panel panel = pd.Panel.from_dict(data, orient ='minor') print(panel['b'], '\n') print("\n", panel['b'].sum(axis = 1)) Output: Code #3: Python3 1== # importing pandas module import pandas as pd import numpy as np df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks'], 'b': np.random.randn(3)}) data = {'item1':df1, 'item2':df1} # creating Panel panel = pd.Panel.from_dict(data, orient ='minor') print(panel['b'], '\n') print("\n", panel['b'].sum(axis = 1)) Output: Comment More infoAdvertise with us Next Article Python | Pandas Panel.sum() S Shivam_k Follow Improve Article Tags : Python Python-pandas Python pandas-panel Python pandas-panel-methods Practice Tags : python Similar Reads Python | Pandas Panel.sub() In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data. In Pandas Panel.sub() function is used to get the subtr 2 min read Python | Pandas Panel.rsub() In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data. In Pandas Panel.rsub() function is used to get the subt 3 min read Python | Pandas Panel.size In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data. In Pandas Panel.size gives the number of rows if Series 2 min read Python | Pandas Panel.rmul() In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data. In Pandas Panel.rmul() function is used to get the mult 3 min read Python | Pandas Panel.radd() In Pandas, Panel is a very important container for three-dimensional data. The names for the 3 axes are intended to give some semantic meaning to describing operations involving panel data and, in particular, econometric analysis of panel data. In Pandas Panel.radd() function is used for element-wis 3 min read Like