Apply uppercase to a column in Pandas dataframe

Analyzing a real world data is some what difficult because we need to take various things into consideration. Apart from getting the useful data from large datasets, keeping data in required format is also very important. One might encounter a situation where we need to uppercase each letter in any specific column in given dataframe. Let's see how can we Apply uppercase to a column in Pandas dataframe. Let's create a dataframe using nba.csv. Python3 1==

# Import pandas package 
import pandas as pd 
  
# making data frame 
data = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv") 
  
# calling head() method  
# storing in new variable 
data_top = data.head(10) 
  
# display 
data_top

Output: There are certain methods we can change/modify the case of column in Pandas dataframe. Let's see how can we apply uppercase to a column in Pandas dataframe using upper() method. Method #1: Python3 1==

# Import pandas package 
import pandas as pd 
  
# making data frame 
data = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv") 
    
# display 
data['Name'] = data['Name'].str.upper()

data.head()

Output:   Method #2: Using lambda with upper() method Python3 1==

# Import pandas package 
import pandas as pd 
  
# making data frame 
data = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv") 


# removing null values to avoid errors  
data.dropna(inplace = True)  

# Applying upper() method on 'College' column
data['College'].apply(lambda x: x.upper()).head(10)

Output: