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drop rows in list pandas

rows = df.index[[0,2]]

df.drop(rows, inplace=True)
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drop row pandas

df.drop(index='Row Name', axis=1, inplace=True)
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remove rows from pandas

df = df[df["column_name"].isin([0, 1, 3, 4])]
# into isin we put the value we want to mantain
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remove rows from dataframe

df.drop(['Cochice', 'Pima'])
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pandas drop rows

 current table:
  Modules	Subjects
0	DSM020	Data programming in Python
1	DSM030	Mathematics and statistics
2	DSM040	Machine learning
3	DSM010	Big data analysis
4	DSM050	Data visualisation
5	DSM060	Data science research topics
6	DSM070	Blockchain programming
7	DSM080	Mathematics of financial markets
8	DSM110	R for data science
9	DSM120	Financial data modelling
10	DSM500	Final project
11	DSM100	Artificial 

#dropping rows using indexes
list_of_subjects.drop([2,5,6,8,10,11])

output:
	Modules	Subjects
0	DSM020	Data programming in Python
1	DSM030	Mathematics and statistics
3	DSM010	Big data analysis
4	DSM050	Data visualisation
7	DSM080	Mathematics of financial markets
9	DSM120	Financial data modelling
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