How to select rows based on column values in DataFrame in Python
Editor to share with you how DataFrame in Python selects rows according to column values, I believe most people don't know much about it, so share this article for your reference. I hope you can learn a lot after reading this article. Let's learn about it together.
1. To select a row whose column value is equal to a scalar, you can use = =.
Df.loc [df ['column_name'] = = some_value]
2. To select rows with column values in iterations, you can use isin.
Df.loc [df ['column_name'] .isin (some_values)]
Combine multiple conditions with &:
Df.loc [(df ['column_name'] > = A) & (df [' column_name'] = A & df ['column_name'] = (A & df [' column_name'])
