Add a row at top in pandas DataFrame
Last Updated :
29 Jul, 2021
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Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns).
Let's see how can we can add a row at top in pandas DataFrame.
Observe this dataset first.
# importing pandas module
import pandas as pd
# making data frame
df = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv")
df.head(10)
Code #1: Adding row at the top of given dataframe by concatenating the old dataframe with new one.
new_row = pd.DataFrame({'Name':'Geeks', 'Team':'Boston', 'Number':3,
'Position':'PG', 'Age':33, 'Height':'6-2',
'Weight':189, 'College':'MIT', 'Salary':99999},
index =[0])
# simply concatenate both dataframes
df = pd.concat([new_row, df]).reset_index(drop = True)
df.head(5)
Output:
Code #2: Adding row at the top of given dataframe by concatenating the old dataframe with new one.
new_row = pd.DataFrame({'Name':'Geeks', 'Team':'Boston', 'Number':3,
'Position':'PG', 'Age':33, 'Height':'6-2',
'Weight':189, 'College':'MIT', 'Salary':99999}, index =[0])
# Concatenate new_row with df
df = pd.concat([new_row, df[:]]).reset_index(drop = True)
df.head(5)
Output:
Code #3: Adding row at the top of given dataframe by concatenating the old dataframe with new one using df.ix[] method.
new_row = pd.DataFrame({'Name':'Geeks', 'Team':'Boston', 'Number':3,
'Position':'PG', 'Age':33, 'Height':'6-2',
'Weight':189, 'College':'MIT', 'Salary':99999}, index =[0])
df = pd.concat([new_row, df.ix[:]]).reset_index(drop = True)
df.head(5)
Output:
