Python

new_df = pd.merge(A_df, B_df,  how='left', left_on=['A_c1','c2'], right_on = ['B_c1','c2'])

#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')

cols = ['foo', 'bar', 'new']
df['combined'] = df[cols].apply(lambda row: '_'.join(row.values.astype(str)), axis=1)

PREVIOUS	NEXT

Code Example
Python :: json indent options python
Python :: dataframe row
Python :: django static url
Python :: boxplot for all columns in python
Python :: except as exception:
Python :: python version kali linux
Python :: flask upload file to s3
Python :: python sklearn linear regression slope
Python :: remove a character from a string python
Python :: how to convert string to byte without encoding python
Python :: python number divisible by two other numbers
Python :: django widgets
Python :: blender python get selected object
Python :: how to fill nan values with mean in pandas
Python :: python sum dictionary values by key
Python :: python create virtualenv
Python :: root number in python
Python :: python testing machine learning
Python :: add text to the middle of the window tkinter
Python :: how to show line chart in seaborn lib
Python :: tkinter starter code
Python :: python ignore unicodedecodeerror
Python :: python swap two elements
Python :: invert a dictionary python
Python :: change tensor type pytorch
Python :: python smtp email
Python :: Inheritance constructor with parameters python
Python :: replace a string in a list
Python :: python catch multiple exceptions
Python :: python if else one line