Assume, you have an Excel file stored with the name of pandas.xlsx in your location.
Solution
To solve this, we will follow the steps given below −
Define pd.read_excel method to read data from pandas.xlsx file and save it as df
df = pd.read_excel('pandas.xlsx')
Apply df.iloc[:,0] to print all rows of first column
df.iloc[:,0]
Apply df.iloc[:,-1] to print all rows of last column
df.iloc[:,-1]
Example
Let’s see the below implementation to get a better understanding −
import pandas as pd df = pd.read_csv('products.csv') print("all rows of first column is") print(df.iloc[:,0]) print("all rows of last column is") print(df.iloc[:,-1])
Output
all rows of first column is 0 1 1 2 2 3 3 4 4 5 ... 95 96 96 97 97 98 98 99 99 100 Name: id, Length: 100, dtype: int64 all rows of last column is 0 2019 1 2020 2 2018 3 2018 4 2018 ... 95 2019 96 2019 97 2018 98 2020 99 2018 Name: productionYear, Length: 100, dtype: int64