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add row to dataframe with index

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

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add row to dataframe with index

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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

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Contributed on Mar 27 2022

Important Ibis

0 Answers Avg Quality 2/10

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add row to dataframe

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

Popularity 8/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: add dataframe data

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Contributed on Jun 13 2024

Markhor

0 Answers Avg Quality 2/10

pandas add row to pandas dataframe

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# 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

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Contributed on Apr 20 2023

Charles-Alexandre Roy

0 Answers Avg Quality 2/10

add row to dataframe

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# 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

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Contributed on Nov 28 2022

Funny Flatworm

0 Answers Avg Quality 2/10

dataframe add row

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# 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

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Contributed on Aug 10 2021

Amused Ape

0 Answers Avg Quality 2/10

Add a row at a specific index pandas

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

Popularity 8/10 Helpfulness 4/10 Language python

Source: www.statology.org

Tags: add pandas pa

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Contributed on Oct 17 2022

Tame Toucan

0 Answers Avg Quality 2/10

insert row in any position pandas dataframe

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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

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Contributed on Aug 18 2020

Glorious Giraffe

0 Answers Avg Quality 2/10

insert row at given position in pandas dataframe

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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

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Contributed on Nov 23 2020

Aryan Solanki

0 Answers Avg Quality 2/10

add new row to dataframe pandas

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# 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

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Contributed on Apr 20 2020

Nasty Newt

0 Answers Avg Quality 2/10

add new row to dataframe pandas

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>>> 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

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Contributed on Mar 27 2022

Confused Cottonmouth

0 Answers Avg Quality 2/10

python dataframe add row

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# 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

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Contributed on Jun 04 2022

Marc Tolkmitt

0 Answers Avg Quality 2/10

add row to dataframe with index

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add row to dataframe with index

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