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)how to merge two dataframes
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_colcombine 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)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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