pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")pandas concat series into dataframe
In [1]: s1 = pd.Series([1, 2], index=['A', 'B'], name='s1')
In [2]: s2 = pd.Series([3, 4], index=['A', 'B'], name='s2')
In [3]: pd.concat([s1, s2], axis=1)
Out[3]:
s1 s2
A 1 3
B 2 4
In [4]: pd.concat([s1, s2], axis=1).reset_index()
Out[4]:
index s1 s2
0 A 1 3
1 B 2 4concat dataframe from list of dataframe
import pandas as pd
df = pd.concat(list_of_dataframes)df concatenate df
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)dataframe concatenate
# Pandas for Python
df['col1 & col2'] = df['col1']+df['col2']
#Output
#col1 col2 col1 & col2
#A1 A2 A1A2
#B1 B2 B1B2Copyright © 2021 Codeinu
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