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_col
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)
python dataframe left join
>>> left.merge(right, on='user_id', how='left')
merge 2 dataframes pythom
concat = pd.merge(data_1, data_2, how='inner')
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