Appending row to a dataframe makes the column labels to the index












0















I am somehow stuck here at the moment, I have an (in the beginning empty) dataframe df_ben_Boxen, to which I want to add the rows of df_Box_Code_Inhalt if they are containing the same Artikelnr as the row in df_Stueckliste



At the moment, it writes the index with the column-labels, which isn't what I want.



import pandas as pd
df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
df_ben_Boxen=pd.DataFrame()
def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
for index, row in df_Stueckliste.iterrows():
for index2, row in df_Box_Code_Inhalt.iterrows():
if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
df_ben_Boxen=pd.concat([df_ben_Boxen,df_Box_Code_Inhalt.loc[index2]],axis=1)
return df_ben_Boxen


Would be nice if some1 could tell me a fix, i am new to python and can't figure it out atm.



Contents of the original dataframe compared to the changed indexing










share|improve this question




















  • 2





    Welcome to SO, people will be able to help you better if you provide mcve. You can print df_ben_Boxen.head() and df_Stueckliste.head() and expected output

    – Vaishali
    Nov 28 '18 at 0:30











  • Now i tried to accept it this way and transpose the datafield by writing df_Box_Code_Inhalt.Tbut it doesnt switch rows and columns.

    – Terminator93 RA1D
    Nov 28 '18 at 9:08


















0















I am somehow stuck here at the moment, I have an (in the beginning empty) dataframe df_ben_Boxen, to which I want to add the rows of df_Box_Code_Inhalt if they are containing the same Artikelnr as the row in df_Stueckliste



At the moment, it writes the index with the column-labels, which isn't what I want.



import pandas as pd
df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
df_ben_Boxen=pd.DataFrame()
def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
for index, row in df_Stueckliste.iterrows():
for index2, row in df_Box_Code_Inhalt.iterrows():
if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
df_ben_Boxen=pd.concat([df_ben_Boxen,df_Box_Code_Inhalt.loc[index2]],axis=1)
return df_ben_Boxen


Would be nice if some1 could tell me a fix, i am new to python and can't figure it out atm.



Contents of the original dataframe compared to the changed indexing










share|improve this question




















  • 2





    Welcome to SO, people will be able to help you better if you provide mcve. You can print df_ben_Boxen.head() and df_Stueckliste.head() and expected output

    – Vaishali
    Nov 28 '18 at 0:30











  • Now i tried to accept it this way and transpose the datafield by writing df_Box_Code_Inhalt.Tbut it doesnt switch rows and columns.

    – Terminator93 RA1D
    Nov 28 '18 at 9:08
















0












0








0


1






I am somehow stuck here at the moment, I have an (in the beginning empty) dataframe df_ben_Boxen, to which I want to add the rows of df_Box_Code_Inhalt if they are containing the same Artikelnr as the row in df_Stueckliste



At the moment, it writes the index with the column-labels, which isn't what I want.



import pandas as pd
df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
df_ben_Boxen=pd.DataFrame()
def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
for index, row in df_Stueckliste.iterrows():
for index2, row in df_Box_Code_Inhalt.iterrows():
if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
df_ben_Boxen=pd.concat([df_ben_Boxen,df_Box_Code_Inhalt.loc[index2]],axis=1)
return df_ben_Boxen


Would be nice if some1 could tell me a fix, i am new to python and can't figure it out atm.



Contents of the original dataframe compared to the changed indexing










share|improve this question
















I am somehow stuck here at the moment, I have an (in the beginning empty) dataframe df_ben_Boxen, to which I want to add the rows of df_Box_Code_Inhalt if they are containing the same Artikelnr as the row in df_Stueckliste



At the moment, it writes the index with the column-labels, which isn't what I want.



import pandas as pd
df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
df_ben_Boxen=pd.DataFrame()
def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
for index, row in df_Stueckliste.iterrows():
for index2, row in df_Box_Code_Inhalt.iterrows():
if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
df_ben_Boxen=pd.concat([df_ben_Boxen,df_Box_Code_Inhalt.loc[index2]],axis=1)
return df_ben_Boxen


Would be nice if some1 could tell me a fix, i am new to python and can't figure it out atm.



Contents of the original dataframe compared to the changed indexing







python pandas dataframe append concat






share|improve this question















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edited Nov 28 '18 at 0:30









Josh21

779




779










asked Nov 28 '18 at 0:26









Terminator93 RA1DTerminator93 RA1D

42




42








  • 2





    Welcome to SO, people will be able to help you better if you provide mcve. You can print df_ben_Boxen.head() and df_Stueckliste.head() and expected output

    – Vaishali
    Nov 28 '18 at 0:30











  • Now i tried to accept it this way and transpose the datafield by writing df_Box_Code_Inhalt.Tbut it doesnt switch rows and columns.

    – Terminator93 RA1D
    Nov 28 '18 at 9:08
















  • 2





    Welcome to SO, people will be able to help you better if you provide mcve. You can print df_ben_Boxen.head() and df_Stueckliste.head() and expected output

    – Vaishali
    Nov 28 '18 at 0:30











  • Now i tried to accept it this way and transpose the datafield by writing df_Box_Code_Inhalt.Tbut it doesnt switch rows and columns.

    – Terminator93 RA1D
    Nov 28 '18 at 9:08










2




2





Welcome to SO, people will be able to help you better if you provide mcve. You can print df_ben_Boxen.head() and df_Stueckliste.head() and expected output

– Vaishali
Nov 28 '18 at 0:30





Welcome to SO, people will be able to help you better if you provide mcve. You can print df_ben_Boxen.head() and df_Stueckliste.head() and expected output

– Vaishali
Nov 28 '18 at 0:30













Now i tried to accept it this way and transpose the datafield by writing df_Box_Code_Inhalt.Tbut it doesnt switch rows and columns.

– Terminator93 RA1D
Nov 28 '18 at 9:08







Now i tried to accept it this way and transpose the datafield by writing df_Box_Code_Inhalt.Tbut it doesnt switch rows and columns.

– Terminator93 RA1D
Nov 28 '18 at 9:08














1 Answer
1






active

oldest

votes


















0














I got my problem solved like this:



import pandas as pd
df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
df_ben_Boxen=pd.read_excel("Box_Code_Inhalt.xlsx")
df_ben_Boxen.drop(df_ben_Boxen.index, inplace=True)
for index, row in df_Stueckliste.iterrows():
for index2, row in df_Box_Code_Inhalt.iterrows():
if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
data=list(df_Box_Code_Inhalt.iloc[index2])
df_ben_Boxen.loc[len(df_ben_Boxen)]=data
return df_ben_Boxen





share|improve this answer























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    I got my problem solved like this:



    import pandas as pd
    df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
    def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
    df_ben_Boxen=pd.read_excel("Box_Code_Inhalt.xlsx")
    df_ben_Boxen.drop(df_ben_Boxen.index, inplace=True)
    for index, row in df_Stueckliste.iterrows():
    for index2, row in df_Box_Code_Inhalt.iterrows():
    if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
    data=list(df_Box_Code_Inhalt.iloc[index2])
    df_ben_Boxen.loc[len(df_ben_Boxen)]=data
    return df_ben_Boxen





    share|improve this answer




























      0














      I got my problem solved like this:



      import pandas as pd
      df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
      def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
      df_ben_Boxen=pd.read_excel("Box_Code_Inhalt.xlsx")
      df_ben_Boxen.drop(df_ben_Boxen.index, inplace=True)
      for index, row in df_Stueckliste.iterrows():
      for index2, row in df_Box_Code_Inhalt.iterrows():
      if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
      data=list(df_Box_Code_Inhalt.iloc[index2])
      df_ben_Boxen.loc[len(df_ben_Boxen)]=data
      return df_ben_Boxen





      share|improve this answer


























        0












        0








        0







        I got my problem solved like this:



        import pandas as pd
        df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
        def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
        df_ben_Boxen=pd.read_excel("Box_Code_Inhalt.xlsx")
        df_ben_Boxen.drop(df_ben_Boxen.index, inplace=True)
        for index, row in df_Stueckliste.iterrows():
        for index2, row in df_Box_Code_Inhalt.iterrows():
        if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
        data=list(df_Box_Code_Inhalt.iloc[index2])
        df_ben_Boxen.loc[len(df_ben_Boxen)]=data
        return df_ben_Boxen





        share|improve this answer













        I got my problem solved like this:



        import pandas as pd
        df_Box_Code_Inhalt=pd.read_excel("Box_Code_Inhalt.xlsx")
        def Lade_Zuordnungen(df_ben_Boxen, df_Stueckliste):
        df_ben_Boxen=pd.read_excel("Box_Code_Inhalt.xlsx")
        df_ben_Boxen.drop(df_ben_Boxen.index, inplace=True)
        for index, row in df_Stueckliste.iterrows():
        for index2, row in df_Box_Code_Inhalt.iterrows():
        if df_Stueckliste.at[index,"Artikelnr"]==df_Box_Code_Inhalt.at[index2,"Artikelnr"]:
        data=list(df_Box_Code_Inhalt.iloc[index2])
        df_ben_Boxen.loc[len(df_ben_Boxen)]=data
        return df_ben_Boxen






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 28 '18 at 9:46









        Terminator93 RA1DTerminator93 RA1D

        42




        42
































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