how to concat on the basis of particular columns in pandas
In [6]: result = pd.concat(frames, keys=['x', 'y', 'z'])how to concat on the basis of particular columns in pandas
In [6]: result = pd.concat(frames, keys=['x', 'y', 'z'])how to merge two pandas dataframes on a column
import pandas as pd
T1 = pd.merge(T1, T2, on=T1.index, how='outer')concat 3 column in pandas
In[17]:df['combined']=df['bar'].astype(str)+'_'+df['foo']+'_'+df['new']
In[17]:df
Out[18]:
bar foo new combined
0 1 a apple 1_a_apple
1 2 b banana 2_b_banana
2 3 c pear 3_c_peardataframe concatenate
# Pandas for Python
df['col1 & col2'] = df['col1']+df['col2']
#Output
#col1 col2 col1 & col2
#A1 A2 A1A2
#B1 B2 B1B2concat in pandas
In [1]: df1 = pd.DataFrame(
...: {
...: "A": ["A0", "A1", "A2", "A3"],
...: "B": ["B0", "B1", "B2", "B3"],
...: "C": ["C0", "C1", "C2", "C3"],
...: "D": ["D0", "D1", "D2", "D3"],
...: },
...: index=[0, 1, 2, 3],
...: )
...:
In [2]: df2 = pd.DataFrame(
...: {
...: "A": ["A4", "A5", "A6", "A7"],
...: "B": ["B4", "B5", "B6", "B7"],
...: "C": ["C4", "C5", "C6", "C7"],
...: "D": ["D4", "D5", "D6", "D7"],
...: },
...: index=[4, 5, 6, 7],
...: )
...:
In [3]: df3 = pd.DataFrame(
...: {
...: "A": ["A8", "A9", "A10", "A11"],
...: "B": ["B8", "B9", "B10", "B11"],
...: "C": ["C8", "C9", "C10", "C11"],
...: "D": ["D8", "D9", "D10", "D11"],
...: },
...: index=[8, 9, 10, 11],
...: )
...:
In [4]: frames = [df1, df2, df3]
In [5]: result = pd.concat(frames)Copyright © 2021 Codeinu
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