DataFrame.shape , size , ndim

import pandas as pd 
my_dict={'NAME':['Ravi','Raju','Alex','Ron','King','Jack'],
         'ID':[1,2,3,4,5,6],
         'MATH':[80,40,70,70,70,30],
         'ENGLISH':[80,70,40,50,60,30]}
df = pd.DataFrame(data=my_dict)
print(df.shape)

(6, 4)

print("Number of rows : ",df.shape[0])
print("Number of columns : ",df.shape[1])

   Number of rows :  6
Number of columns :  4

size

print(df.size) # 24 

Dimensions

print(df.ndim) # 2
print(df['NAME'].ndim) # 1 

Using Excel file

import pandas as pd 
df = pd.read_excel('D:\student.xlsx')

Using CSV file

import pandas as pd 
df= pd.read_csv('D:\\my_data\\student.csv') # DataFrame from csv file data

print(df.shape) #  (35,5) ( rows, columns)
print("Number of rows : ",df.shape[0])
print("Number of columns : ",df.shape[1])
print(df.size) #  175
print(df.ndim) # 2
print(df['name'].ndim) # 1 

Subhendu Mohapatra

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