import pandas as pd

​

# Create two DataFrames

data1 = {

    'id': [1, 2, 3, 4],

    'A': ['A0', 'A1', 'A2', 'A3'],

    'B': ['B0', 'B1', 'B2', 'B3'],

    'C': ['C0', 'C1', 'C2', 'C3']

}

​

data2 = {

    'id': [1, 2, 3, 4],

    'B': ['B0', 'B1', 'B2', 'B3'],

    'C': ['C4', 'C5', 'C6', 'C7'],

    'D': ['D4', 'D5', 'D6', 'D7']

}

​

df1 = pd.DataFrame(data1)

df2 = pd.DataFrame(data2)

​

# Find the columns unique to df2

unique_cols_df2 = set(df2.columns) - set(df1.columns)

​

# Merge the DataFrames on the 'id' column and keep only the unique columns from df2

df_merged = pd.merge(df1, df2[['id'] + list(unique_cols_df2)], on='id')

​

print(df_merged)

df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column

​

df_outer

​

pip install pyinstaller

​

pyinstaller <file name>.py

pyinstaller --onefile <file name>.py

pyinstaller --onefile --windowed --icon=<project-logo>.ico --add-data "<folder>;<folder>" <filename.py>

merged_df = DF2.merge(DF1, how = 'inner', on = ['date', 'hours'])

df_merge_col = pd.merge(df_row, df3, on='id')

​

df_merge_col

​

#suppose you have two dataframes df1 and df2, and 

#you need to merge them along the column id

df_merge_col = pd.merge(df1, df2, on='id')

pip install pyinstaller

​

pyinstaller --onefile --noconsole "<filename>"

# the exe is in the dist folder

pyinstaller file.py  # Basic programs 

pyinstaller --noconsole file.py  # GUI programs

pyinstaller --noconsole --onefile file.py  # GUI programs with just one file

pyinstaller --onefile --noconsole <"filename">