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)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)merge two df
bigdata = pd.concat([data1, data2], ignore_index=True, sort=False)how to merge two pandas dataframes on a column
import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')appending dataframes pandas
>>> 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 8Copyright © 2021 Codeinu
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