What is Pandas apply() method
The apply() method can be applied both to series and Dataframes where a function can be applied to both series and individual elements based on the type of function provided.
Syntax: s.apply(func, convert_dtype=True, args=())
Pandas DataFrame apply() Method
This method can be used on both a pandas Dataframe and series. The function passed as an argument typically works on rows/columns. The code below illustrates how apply() method works on Pandas Dataframe.
Python3
# Importing pandas library with an alias pdimport pandas as pd# Dataframe generationgfg_string = 'w3wiki'gfg_list = 5 * [pd.Series(list(gfg_string))]gfg_df = pd.DataFrame(data = gfg_list)print("Original dataframe:\n" + \ gfg_df.to_string(index = False, header = False), end = '\n\n')# Using apply method for sorting# rows of characters present in# the original dataframenew_gfg_df = gfg_df.apply(lambda x:x.sort_values(), axis = 1)print("Transformed dataframe:\n" + \ new_gfg_df.to_string(index = False, header = False), end = '\n\n') |
Output:
Pandas Series apply() Method
The below Code illustrates how to apply() method to the Pandas series:
Python3
# Importing pandas library with an alias pdimport pandas as pd# Series generationgfg_string = 'w3wiki'gfg_series = pd.Series(list(gfg_string))print("Original series\n" + gfg_series.to_string(index=False, header=False), end='\n\n')# Using apply method for converting characters# present in the original seriesnew_gfg_series = gfg_series.apply(str.upper)print("Transformed series:\n" + new_gfg_series.to_string(index=False, header=False), end='\n\n') |
Output: