can not append new data to a pd dataframe

Question

im trying to save some data in a dataframe, the first row of the dataframe should be ('Tom',.99, 'tom2'), supose i need to add ('mart',.3, 'mart2') row to the dataframe , i've tried to use append but is adding nothing this is my code

    import pandas as pd
    trackeds = {'Name':['Tom'], 'proba':[.99],'name2':['tom2']}
    df_trackeds = pd.DataFrame(trackeds) 
    df_trackeds.append(pd.DataFrame({'name':['mart'],'proba': [.3],'name2':['mart2']}))
    print(df_trackeds)

the output is

Name  proba name2
0  Tom   0.99  tom2

i also tried to use

df_trackeds.append({'name':['mart'],'proba': [.3],'name2':['mart2']},ignore_index=True)

and

df_trackeds.append(pd.DataFrame({'name':['mart'],'proba': [.3],'name2':['mart2']}))

but nothing, i hope you can help me, thanks in advance

Just for appending one row at a time.You can take a look here stackoverflow.com/questions/49916371/… — Pritish kumar
– Pritish kumar, Commented Oct 31, 2019 at 16:00

jezrael · Accepted Answer · 2019-10-31 15:48:17Z

1

Pandas function DataFrame.append not working inplace like pure python append, so is necessary assign back:

df = pd.DataFrame({'Name':['mart'],'proba': [.3],'name2':['mart2']})
df_trackeds = df_trackeds.append(df, ignore_index=True)
print(df_trackeds)
   Name  proba  name2
0   Tom   0.99   tom2
1  mart   0.30  mart2

answered Oct 31, 2019 at 15:48

jezrael

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1 Comment

mimus Over a year ago

worked perfectly, in like twelve minutes i give you the best awnser =3

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