Answers for "append two dataframes pandas"

combining 2 dataframes pandas

df_3 = pd.concat([df_1, df_2])

append two dataframes pandas

import pandas as pd

# First DataFrame
df1 = pd.DataFrame({'id': ['A01', 'A02', 'A03', 'A04'],
                    'Name': ['ABC', 'PQR', 'DEF', 'GHI']})
  
# Second DataFrame
df2 = pd.DataFrame({'id': ['B05', 'B06', 'B07', 'B08'],
                    'Name': ['XYZ', 'TUV', 'MNO', 'JKL']})
  
frames = [df1, df2]
  
result = pd.concat(frames)

pandas append index ignore

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

append one row to pandas dataframe

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

combine two dataframe in pandas

# Stack the DataFrames on top of each other
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)

# Place the DataFrames side by side
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)

concatenating datfra,esin pandas

In [8]: df4 = pd.DataFrame({'B': ['B2', 'B3', 'B6', 'B7'],
   ...:                     'D': ['D2', 'D3', 'D6', 'D7'],
   ...:                     'F': ['F2', 'F3', 'F6', 'F7']},
   ...:                    index=[2, 3, 6, 7])
   ...: 

In [9]: result = pd.concat([df1, df4], axis=1, sort=False)