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.
# Import pandas package import pandas as pd # making data frame data = pd.read_csv("https://media.w3wiki.net/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:
# Import pandas package import pandas as pd # making data frame data = pd.read_csv("https://media.w3wiki.net/wp-content/uploads/nba.csv") # display data['Name'] = data['Name'].str.upper() data.head() |
Output:
Method #2: Using lambda with upper() method
# Import pandas package import pandas as pd # making data frame data = pd.read_csv("https://media.w3wiki.net/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:
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