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 pd 
result_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 dataframe 
df = pd.DataFrame(result_data, index = None) 
  
# computing number of rows 
rows = len(df.axes[0]) 
  
# computing number of columns 
cols = 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 dataframe 
df = 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 rows 
print("Number of Rows: ", len(df.axes[0])) 
  
# getting number of columns 
print("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 pandas 
import pandas as pd 
  
# importing csv file 
df = pd.read_csv('https://raw.githubusercontent.com/uiuc-cse/data-fa14/gh-pages/data/iris.csv') 
  
print(df.head()) 
  
# obtaining the shape 
print("shape of dataframe", df.shape) 
  
# obtaining the number of rows 
print("number of rows : ", df.shape[0]) 
  
# obtaining the number of columns 
print("number of columns : ", df.shape[1]) 

Output :

My Personal Notes

Recommended Posts: