Answers for "pandas drop row"

8

python: remove specific values in a dataframe

df.drop(df.index[df['myvar'] == 'specific_name'], inplace = True)
Posted by: Guest on June-22-2020
8

drop columns pandas

df.drop(columns=['B', 'C'])
Posted by: Guest on March-23-2020
7

delete row from dataframe python

df.drop(df.index[-2])
df.drop(df.index[[3, 4]])
df.drop(['row_1', 'row_2'])
df.drop('column_1', axis=1)
df[df.name != 'cell']
Posted by: Guest on October-30-2020
39

python pandas drop

df = pd.DataFrame(np.arange(12).reshape(3, 4),
...                   columns=['A', 'B', 'C', 'D'])
>>> df
   A  B   C   D
0  0  1   2   3
1  4  5   6   7
2  8  9  10  11

Drop columns
>>> df.drop(['B', 'C'], axis=1)
   A   D
0  0   3
1  4   7
2  8  11
>>> df.drop(columns=['B', 'C'])
   A   D
0  0   3
1  4   7
2  8  11
Posted by: Guest on February-04-2020
5

df drop column

df = df.drop(['B', 'C'], axis=1)
Posted by: Guest on June-02-2020
3

drop a column from dataframe

#working with "text" syntax for the columns:
df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)
Posted by: Guest on August-25-2020

Python Answers by Framework

Browse Popular Code Answers by Language