Pandas Shape Function
The shape property is used to get a tuple representing the dimensionality of the Pandas DataFrame.
Pandas df.shape Syntax
Syntax: dataframe.shape
Return : Returns tuple of shape (Rows, columns) of dataframe/series
Example
This code uses pandas to read “nba.csv” and It then calculates and prints the shape of the DataFrame, which includes the number of rows and columns.
Python3
# importing pandas moduleimport pandas as pd# importing csv filedata = pd.read_csv("nba.csv")# using dataframe.shapeshape = data.shape# printing shapeprint("Shape = {}".format(shape)) |
Output:
Shape = (458, 9)
Pandas df.size, df.shape and df.ndim Methods
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 size, shape, and ndim methods are used to return the size, shape, and dimensions of data frames and series.
Dataset Used
To download the data set used in the following example, click here. In the following examples, the data frame used contains data from some NBA players.