/Python/Select rows from a DataFrame based on column values?

Select rows from a DataFrame based on column values?

#To select rows whose column value equals a scalar, some_value, use ==:
df.loc[df['A'] == 'foo']

#To select rows whose column value is in an iterable, some_values, use isin:
df.loc[df['B'].isin(['one','three'])]

#Combine multiple conditions with &:
df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]

Source: codegrepper.com

Similar codes

0 vote215 views1 answer
How to open camre aopencv
Python
11 votes226 views4 answers
Python remove empty values from list
Python
11 votes218 views2 answers
Is python a programming language
Python
0 vote264 views2 answers
Pandas read parquet from s3
Python
5 votes198 views1 answer
Append item to array python
Python
0 vote161 views1 answer
Opencv change color
Python
-1 vote184 views1 answer
Taking hour information from time in pandas
Python
5 votes230 views3 answers
Jupyter dark theme vampire
Python
0 vote236 views1 answer
Numpy init array
Python
1 vote201 views1 answer
Selenium refresh till the element appears python
Python