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.
Pandas Size Function
The size property is used to get an int representing the number of elements in this object and Return the number of rows if Series. Otherwise, return the number of rows times the number of columns if DataFrame.
Pandas df. size Syntax
Syntax: dataframe.size
Return : Returns size of dataframe/series which is equivalent to total number of elements. That is rows x columns.
Example
This code uses pandas to read “nba.csv” and It then calculates and prints the total number of elements (size) in the DataFrame.
Python3
# importing pandas moduleimport pandas as pd# importing csv filedata = pd.read_csv("nba.csv")# dataframe.sizesize = data.size# printing sizeprint("Size = {}".format(size)) |
Output:
Size = 4122
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 ndim Function
The ndim property is used to get an int representing the number of axes/array dimensions and Return 1 if Series. Otherwise, return 2 if DataFrame.
Pandas df.ndim Syntax
Syntax: dataframe.ndim
Return : Returns dimension of dataframe/series. 1 for one dimension (series), 2 for two dimension (dataframe)
Example
This code uses pandas to read “nba.csv”. Calculates and prints the number of dimensions (ndim) for both the DataFrame and a specific column (“Salary”) treated as a Series within the DataFrame.
Python3
# importing pandas moduleimport pandas as pd# reading csv filedata = pd.read_csv("nba.csv")# dataframe.ndimdf_ndim = data.ndim# series.ndimseries_ndim = data["Salary"].ndim# printing ndimprint("ndim of dataframe = {}\nndim of series ={}". format(df_ndim, series_ndim)) |
Output:
ndim of dataframe = 2
ndim of series =1
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