pd df append

Athul Mathew answered on April 20, 2020 Popularity 10/10 Helpfulness 4/10

answer pd df append

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pd df append

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df.append(df2, ignore_index=True)

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Source: pandas.pydata.org

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Contributed on Aug 22 2022

Athul Mathew

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# Horizontal concatenation = concat side by side, increase no of columns
horizontal_concat_df = pd.concat([df1,df2,df3], axis=1)
# Vertical concatenation = concat on top of another, increase no of rows
vertical_concat_df = pd.concat([df1,df2,df3], axis=0,
                               verify_integrity=False, # Verifies duplicate entries
                        ignore_index=False, # Retain index of source dfs
                        keys=['df1','df2','df3']) # Provide key for each source df 
# Vertical concatenation : another approach
df = pd.DataFrame()
df = df.append(df_new)

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Contributed on Nov 21 2023

Innocent Iguana

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append dataframe pandas

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>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df
   A  B
0  1  2
1  3  4
>>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
>>> df.append(df2)
   A  B
0  1  2
1  3  4
0  5  6
1  7  8

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Contributed on Apr 20 2020

Caleb McNevin

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pd df append

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