How to append new row to dataframe in pandas?

Question

This is the code i have used

    iname = \"name1\"    
    ipassword = \"password1\"
    iemail = \"email@domain.com\"
    res1 = []
            


        

Answer 1

Another simple approach is to use pd.Dataframe.loc method.

row = [iname, ipassword, iemail]
df.loc[len(df)] = row
df.to_csv("login.csv", index=False)

Answer 2

A good way is to create an empty list first, populate it and then add to the empty data frame like this

data=[]

for i, row in new_df.head(4).iterrows():
    sequence=str(row['body'])
    author=row['author']
    data.append([author,sequence]) 
d=pd.DataFrame(data,columns = ['author', 'results'])

it will give the results like this

Answer 3

Use -

iname = "name1"    
ipassword = "password1"
iemail = "email@domain.com"

df2 = df.append(pd.DataFrame([[iname,ipassword,iemail]], columns
=df.columns))
df2.to_csv("login.csv", index=False)

Output

    name   password             email
0  admin      admin             asdfs
1    zds         sd          dsssfsfd
2  vipul        rao           dsfdsfs
0  name1  password1  email@domain.com

Answer 4

You can use pd.DataFrame.loc to add a row to your dataframe:

iname = "name1"    
ipassword = "password1"
iemail = "email@domain.com"

df = pd.read_csv("login.csv", sep=',', encoding="utf-8")

df.loc[df.index.max()+1] = [iname, ipassword, iemail]

df.to_csv("login.csv", index=False)