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Deleting DataFrame row in Pandas where column value in list


Deleting DataFrame row in Pandas where column value in list

By : Sajjad Assal
Date : October 30 2020, 12:01 AM
will help you Use isin with boolean indexing:
code :
mylist = ['fh3', 'fh1', 'fh4']
print (df[~df.id.isin(mylist)])
    id  loc_id
0  fh0     859
2  fh2    2585
4  fh5     586
mylist = ['fh3', 'fh1', 'fh4']
print (df.set_index('id').drop(mylist).reset_index())
    id  loc_id
0  fh0     859
1  fh2    2585
2  fh5     586


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Deleting DataFrame row in Pandas based on column value

Deleting DataFrame row in Pandas based on column value


By : Carlos Gamez
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I have the following DataFrame: , If I'm understanding correctly, it should be as simple as:
code :
df = df[df.line_race != 0]
Resampling pandas dataframe is deleting column

Resampling pandas dataframe is deleting column


By : Valentin S.
Date : March 29 2020, 07:55 AM
around this issue The Val columns will probably not have a numerical dtype for some reason, and all non-numerical (eg object dtype) columns are removed in resample.
To check, just look at df.info().
Deleting pandas dataframe rows if value in given column not contained in a list

Deleting pandas dataframe rows if value in given column not contained in a list


By : kapil joshi
Date : March 29 2020, 07:55 AM
wish of those help IIUC you can use isin with inverse operator ~:
code :
df = df[~df['MY STATE'].isin(states['Abbreviation'].values)]
Deleting a column from MultiIndex Pandas dataframe

Deleting a column from MultiIndex Pandas dataframe


By : Patrick Hussain
Date : March 29 2020, 07:55 AM
seems to work fine I think better is for remove all columns with std is second level of MultiIndex use drop with parameter level=1:
code :
print (df)
              attribute          attribute2          attribute3         
                  test1      std      test2      std      test3      std
d  count type                                                           
r1 10    rx       0.559    (0.0)      0.559    (0.0)      0.568    (0.0)
         sth1     0.653  (0.004)      0.653  (0.004)      0.679  (0.002)
         sth2     0.584  (0.002)      0.584  (0.002)      0.586  (0.003)
         sth3     0.651  (0.005)      0.651  (0.005)      0.676      (0)

df = df.drop('std', axis=1, level=1)
print (df)
              attribute attribute2 attribute3
                  test1      test2      test3
d  count type                                
r1 10    rx       0.559      0.559      0.568
         sth1     0.653      0.653      0.679
         sth2     0.584      0.584      0.586
         sth3     0.651      0.651      0.676
Deleting dataFrame row in Pandas if a combination of column values equals a tuple in a list

Deleting dataFrame row in Pandas if a combination of column values equals a tuple in a list


By : Deathnetworks
Date : March 29 2020, 07:55 AM
around this issue I currently do this to delete a row that has a specific column 'some_column' value that is found in a list removal_list , Say you have
code :
removal_list = [(item1,store1),(item2,store1),(item2,store2)]
df[['column_1', 'column_2']].apply(tuple, axis=1)
df[['column_1', 'column_2']].apply(tuple, axis=1).isin(removal_list)
df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
>>> df[['a', 'b']].apply(tuple, axis=1).isin([(1, 3), (30, 40)])
0    (1, 3)
1    (2, 4)
dtype: object
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