import pandas as pd
# Dataframe example
df = pd.DataFrame({'col_A':[1,5,7,8],'col_B':[9,7,4,3]})
# Save dataframe as csv file in the current folder
df.to_csv('filename.csv', index = False, encoding='utf-8') # False: not include index
print(df)
#Note: to Save dataframe as csv file in other folder use instead:
'''
df.to_csv('Path/filename.csv', index = False, encoding='utf-8') # Replace 'Path' by the wanted folder
''';
new_df.to_csv("data.csv",index=False)
#if want to transpose and save it then
new_df.T.to_csv("data.csv",index=False)
#If this works, you can buy me a coffee.
# https://www.buymeacoffee.com/eyolve
import pandas as pd
# Dataframe example
df = pd.DataFrame({'col_A':[1,5,7,8],'col_B':[9,7,4,3]})
# Save dataframe as csv file in the current folder
df.to_csv('filename.csv', index = False, encoding='utf-8') # False: not include index
print(df)
#Note: to Save dataframe as csv file in other folder use instead:
'''
df.to_csv('Path/filename.csv', index = False, encoding='utf-8') # Replace 'Path' by the wanted folder
''';
new_df.to_csv("data.csv",index=False)
#if want to transpose and save it then
new_df.T.to_csv("data.csv",index=False)
#If this works, you can buy me a coffee.
# https://www.buymeacoffee.com/eyolve