Python | Pandas Panel.size Last Updated : 28 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. In Pandas Panel.size gives the number of rows if Series. Otherwise return the number of rows times number of columns if DataFrame. Syntax: Panel.size Parameters: None Returns: Returns value in int representing the number of elements in this object. 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]}) print("df1 is - \n\n", df1) # Create a 5 * 5 dataframe df2 = pd.DataFrame(np.random.rand(10, 2), columns =['a', 'b']) print("df2 is - \n\n", df2) Now, let's create the Panel using dict of df1 and df2, and get the size of that panel. Python3 1== data = {'item1':df1, 'item2':df2} # creating Panel panel = pd.Panel.from_dict(data, orient ='minor') print("panel['b'] is - \n\n", panel['b'], '\n') print("\nSize of panel['b'] is - ", panel['b'].size) 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': [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'] is - \n\n", panel['b'], '\n') print("\nSize of panel['b'] is - ", panel['b'].size) Output: Code #3: Python3 1== # importing pandas module import pandas as pd import numpy as np df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'real'], 'b': [-11, +1.025, -114.48, 1333]}) df2 = pd.DataFrame({'a': ['I', 'am', 'dataframe', 'two'], 'b': [100, 100, 100, 100]}) data = {'item1':df1, 'item2':df2} # creating Panel panel = pd.Panel.from_dict(data, orient ='minor') print("panel['b'] is - \n\n", panel['b']) print("\nSize of panel['b'] is - ", panel['b'].size) Output: Comment More infoAdvertise with us Next Article Python | Pandas Panel.size 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.sum() 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 v 2 min read 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.rdiv() 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.rdiv() function is used to get the divi 3 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.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 Like