Breaking News: Grepper is joining You.com. Read the official announcement!

add row to dataframe with index

Add Answer

Important Ibis answered on April 20, 2020 Popularity 10/10 Helpfulness 2/10

answer add row to dataframe with index

related pandas add row to pandas dataframe

related add row to dataframe

related dataframe add row

related Add a row at a specific index pandas

related insert row in any position pandas dataframe

related insert row at given position in pandas dataframe

related add new row to dataframe pandas

related python dataframe add row

add row to dataframe with index

Comment

In [99]: df = pd.DataFrame(np.random.randn(8, 4), columns=['A','B','C','D'])

In [100]: s = df.xs(3)

In [101]: s.name = 10

In [102]: df.append(s)
Out[102]: 
           A         B         C         D
0  -2.083321 -0.153749  0.174436  1.081056
1  -1.026692  1.495850 -0.025245 -0.171046
2   0.072272  1.218376  1.433281  0.747815
3  -0.940552  0.853073 -0.134842 -0.277135
4   0.478302 -0.599752 -0.080577  0.468618
5   2.609004 -1.679299 -1.593016  1.172298
6  -0.201605  0.406925  1.983177  0.012030
7   1.158530 -2.240124  0.851323 -0.240378
10 -0.940552  0.853073 -0.134842 -0.277135

Popularity 10/10 Helpfulness 2/10 Language python

Source: nullorempty.org

Tags: add dataframe python row

Link to this answer
Share Copy Link

Contributed on Mar 27 2022

Important Ibis

0 Answers Avg Quality 2/10

Closely Related Answers

pandas add row to pandas dataframe

Comment

# Basic syntax using .loc:
df.loc[len(df.index)] = ['col1_val', 'col2_val', '...']
# Where:
#	- len(df.index) gets the number of rows in the dataframe. Because the index
#		uses 0 indexing, the length is 1 more than the number of rows.
#	- .loc[] is used to access rows and columns of the dataframe by their
#		label(s). In this case, because the length is 1 more than the number
#		of rows, we're effectively saying "add a new row with an index label
#		that is 1 more than the bottom row".

# Basic syntax using .concat:
df = pd.concat([df, pd.DataFrame([{'col1_name': 'col1_val', 'col2_name': 'col2_val', 'col3_name': '...'}])], ignore_index=True)

# Note, the .append method is deprecated now.

# Example usage using .loc:
import pandas as pd

# Make the dataframe
dict = {'Name':['Martha', 'Tim', 'Rob', 'Georgia'],
        'Maths':[87, 91, 97, 95],
        'Science':[83, 99, 84, 76]}
df = pd.DataFrame(dict)

# Add a row to it
df.loc[len(df.index)] = ['Amy', 89, 93] 
print(df)
-->       Name  Maths  Science
	0   Martha     87       83
	1      Tim     91       99
	2      Rob     97       84
	3  Georgia     95       76
	4      Amy     89       93

# Example usage using .concat:
import pandas as pd

# Make the dataframe
dict = {'Name':['Martha', 'Tim', 'Rob', 'Georgia'],
        'Maths':[87, 91, 97, 95],
        'Science':[83, 99, 84, 76]}
df = pd.DataFrame(dict)

# Add a row to it
df = pd.concat([df, pd.DataFrame([{'Name': 'Amy', 'Maths': 89, 'Science': 93}])], ignore_index=True)
print(df)
-->       Name  Maths  Science
    0   Martha     87       83
    1      Tim     91       99
    2      Rob     97       84
    3  Georgia     95       76
    4      Amy     89       93

Popularity 10/10 Helpfulness 6/10 Language python

Source: www.geeksforgeeks.org

Tags: add

Link to this answer
Share Copy Link

Contributed on Apr 20 2023

Charles-Alexandre Roy

0 Answers Avg Quality 2/10

add row to dataframe

Comment

df = pd.concat([df, pd.DataFrame([new_row])], ignore_index=True)

Popularity 8/10 Helpfulness 6/10 Language python

Source: Grepper

Tags: add dataframe datafram

Link to this answer
Share Copy Link

Contributed on Jun 13 2024

Markhor

0 Answers Avg Quality 2/10

add row to dataframe

Comment

# Below are quick example

# add Row to DataFrame
list_row = ["Hyperion", 27000, "60days", 2000]
df.loc[len(df)] = list_row

# Insert Dict to the dataframe using DataFrame.append()
new_row = {'Courses':'Hyperion', 'Fee':24000, 'Duration':'55days', 'Discount':1800}
df2 = df.append(new_row, ignore_index=True)

# Add new row to specifig index name
df2 = df.append(pd.DataFrame([new_row],index=['7'],columns=df.columns))

# Append row to the DataFrame
df2 = df.append(pd.Series(new_row, index=df.columns, name='7'))

# Using pandas.concat() to add a row
new_row = pd.DataFrame({'Courses':'Hyperion', 'Fee':24000, 'Duration':'55days', 'Discount':1800}, index=[0])
df2 = pd.concat([new_row,df.loc[:]]).reset_index(drop=True)

# Add specific row/index name using DataFrame.loc[]
df.loc['7', :] = ['Hive',25000,'45days',2000]

# Add row in DataFrame using DataFrame.loc[]
df.loc['7'] = ['Hive',25000,'45days',2000]

Popularity 9/10 Helpfulness 5/10 Language python

Source: sparkbyexamples.com

Tags: add

Link to this answer
Share Copy Link

Contributed on Nov 28 2022

Funny Flatworm

0 Answers Avg Quality 2/10

dataframe add row

Comment

# append row to dataframe without index

a_row = pd.Series([1, 2])
df = pd.DataFrame([[3, 4], [5, 6]])

row_df = pd.DataFrame([a_row])
df = pd.concat([row_df, df], ignore_index=True)

print(df)
# OUTPUT
#    0  1
# 0  1  2
# 1  3  4
# 2  5  6

# append row to dataframe with index

a_row = pd.Series([1, 2])
df = pd.DataFrame([[3, 4], [5, 6]], index = ["row1", "row2"])

row_df = pd.DataFrame([a_row], index = ["row3"])
df = pd.concat([row_df, df])

print(df)
# OUTPUT
#       0  1
# row3  1  2
# row1  3  4
# row2  5  6

Popularity 10/10 Helpfulness 5/10 Language python

Source: www.kite.com

Tags: add

Link to this answer
Share Copy Link

Contributed on Aug 10 2021

Amused Ape

0 Answers Avg Quality 2/10

Add a row at a specific index pandas

Comment

df.loc[len(df.index)] = [value1, value2, value3, ...]

Popularity 8/10 Helpfulness 4/10 Language python

Source: www.statology.org

Tags: add pandas pand

Link to this answer
Share Copy Link

Contributed on Oct 17 2022

Tame Toucan

0 Answers Avg Quality 2/10

insert row in any position pandas dataframe

Comment

line = DataFrame({"onset": 30.0, "length": 1.3}, index=[3])
df2 = concat([df.iloc[:2], line, df.iloc[2:]]).reset_index(drop=True)

Popularity 9/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: any

Link to this answer
Share Copy Link

Contributed on Aug 18 2020

Glorious Giraffe

0 Answers Avg Quality 2/10

insert row at given position in pandas dataframe

Comment

import pandas as pd
import numpy as np
x=pd.DataFrame([{'BOY':1,'GIRL':44},{'BOY':22,'GIRL':100}])
print(x)
x=x.T #TRANSPOSE IT AND MAKE IT AS COLUMN
x.insert(1,2,[44,56]) #INSERT A NEW COLUMN AT ANY POSITION
x=x.T # NOW TRANSPOSE IT AGAIN TO MAKE IT ROW AGAIN
x=x.reset_index(drop=True) # RESET INDEX 
print(x)

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: dataframe data

Link to this answer
Share Copy Link

Contributed on Nov 23 2020

Aryan Solanki

0 Answers Avg Quality 2/10

add new row to dataframe pandas

Comment

# Add a new row at index k with values provided in list
dfObj.loc['k'] = ['Smriti', 26, 'Bangalore', 'India']

Popularity 10/10 Helpfulness 4/10 Language python

Source: thispointer.com

Tags: add

Link to this answer
Share Copy Link

Contributed on Apr 20 2020

Nasty Newt

0 Answers Avg Quality 2/10

add new row to dataframe pandas

Comment

>>> import pandas as pd
>>> from numpy.random import randint

>>> df = pd.DataFrame(columns=['lib', 'qty1', 'qty2'])
>>> for i in range(5):
>>>     df.loc[i] = ['name' + str(i)] + list(randint(10, size=2))

>>> df
     lib qty1 qty2
0  name0    3    3
1  name1    2    4
2  name2    2    8
3  name3    2    1
4  name4    9    6

Popularity 10/10 Helpfulness 3/10 Language python

Source: devarama.com

Tags: add

Link to this answer
Share Copy Link

Contributed on Mar 27 2022

Confused Cottonmouth

0 Answers Avg Quality 2/10

python dataframe add row

Comment

# add dataframe-rows like this
df5 = pd.DataFrame([1], index=['a'])
df6 = pd.DataFrame([2], index=['a'])
pd.concat([df5, df6], verify_integrity=True)

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: add

Link to this answer
Share Copy Link

Contributed on Jun 04 2022

Marc Tolkmitt

0 Answers Avg Quality 2/10

add row to dataframe with index

Contents

More Related Answers

add row to dataframe with index

Closely Related Answers

pandas add row to pandas dataframe

add row to dataframe

add row to dataframe

dataframe add row

Add a row at a specific index pandas

insert row in any position pandas dataframe

insert row at given position in pandas dataframe

add new row to dataframe pandas

add new row to dataframe pandas

python dataframe add row

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.