Count the number of rows and columns of a Pandas dataframe
Pandas allow us to get the shape of the dataframe by counting the numbers of rows and columns in the dataframe. You can try various approaches to get the number of rows and columns of the dataframe. All of them have been discussed below.
Example: Let’s take an example of a dataframe which consists of data of exam result of students.
# importing pandas import pandas as pdresult_data = {'name': ['Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura'], 'score': [98, 80, 60, 85, 49, 92], 'age': [20, 25, 22, 24, 21, 20], 'qualify_label': ['yes', 'yes', 'no', 'yes', 'no', 'yes']} # creating dataframedf = pd.DataFrame(result_data, index = None) # computing number of rowsrows = len(df.axes[0]) # computing number of columnscols = len(df.axes[1]) print(df)print("Number of Rows: ", rows)print("Number of Columns: ", cols) |
Output :
Example: Let’s take an example of a dataframe that consists of data on product sales.
# importing pandas import pandas as pd # creating dataframedf = pd.DataFrame({'Product' : ['Carrots', 'Broccoli', 'Banana', 'Banana', 'Beans', 'Orange', 'Broccoli', 'Banana'], 'Category' : ['Vegetable', 'Vegetable', 'Fruit', 'Fruit', 'Vegetable', 'Fruit', 'Vegetable', 'Fruit'], 'Quantity' : [8, 5, 3, 4, 5, 9, 11, 8], 'Amount' : [270, 239, 617, 384, 626, 610, 62, 90]}) print(df) # getting number of rowsprint("Number of Rows: ", len(df.axes[0])) # getting number of columnsprint("Number of Columns: ", len(df.axes[1])) |
Output :
Example: Here, we will try a different approach for calculating rows and columns of a dataframe of imported csv file.
# importing pandasimport pandas as pd # importing csv file print(df.head()) # obtaining the shapeprint("shape of dataframe", df.shape) # obtaining the number of rowsprint("number of rows : ", df.shape[0]) # obtaining the number of columnsprint("number of columns : ", df.shape[1]) |
Output :
.png)
