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append one row to pandas dataframe

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Anxious Armadillo answered on April 20, 2020 Popularity 10/10 Helpfulness 5/10

answer append one row to pandas dataframe

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append one row to pandas dataframe

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df = df.append({'index1': value1, 'index2':value2,...}, ignore_index=True)

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Source: Grepper

Tags: append dataframe pandas python row

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Contributed on May 04 2020

Anxious Armadillo

0 Answers Avg Quality 2/10

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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 one row to DataFrame

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import pandas as pd
# One value for each column
df.loc[len(df.index)] = [value1, value2, value3]

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Aug 25 2022

JJSSEEXX

0 Answers Avg Quality 2/10

Appending rows to a DataFrame

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s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Popularity 10/10 Helpfulness 4/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Apr 30 2022

Gia Khanh Nguyen

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

Tags: add

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Contributed on Apr 20 2020

Nasty Newt

0 Answers Avg Quality 2/10

Appending rows to a DataFrame

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s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Popularity 10/10 Helpfulness 4/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Apr 30 2022

Gia Khanh Nguyen

0 Answers Avg Quality 2/10

Appending rows to a DataFrame

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s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Popularity 10/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Apr 30 2022

Gia Khanh Nguyen

0 Answers Avg Quality 2/10

Appending rows to a DataFrame

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-1

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Popularity 10/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Apr 30 2022

Gia Khanh Nguyen

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

Tags: add

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Contributed on Mar 27 2022

Confused Cottonmouth

0 Answers Avg Quality 2/10

Appending rows to a DataFrame

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s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Popularity 10/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Apr 30 2022

Gia Khanh Nguyen

0 Answers Avg Quality 2/10

Appending rows to a DataFrame

Comment

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Apr 30 2022

Gia Khanh Nguyen

0 Answers Avg Quality 2/10

append one row to pandas dataframe

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