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How to replace cell in pandas?


How to replace cell in pandas?

By : Sivathanu
Date : January 12 2021, 07:00 PM
To fix the issue you can do I have a Pandas dataframe created from CSV with the following headers: , Create helper dictionary and replace:
code :
#swap key values in dict
#http://stackoverflow.com/a/31674731/2901002
d = {k: oldk for oldk, oldv in categories.items() for k in oldv}
print (d)
{'Comedy Interviews': 'Comedy', 'Improv': 'Comedy', 
 'Stand-Up': 'Comedy', 'Comedy Fiction': 'Fiction',
 'Drama': 'Fiction', 'Science Fiction': 'Fiction'}

df['category'] = df['category'].replace(d)


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Replace each cell in a dataframe by the value of a dict inside each cell pandas

Replace each cell in a dataframe by the value of a dict inside each cell pandas


By : duur laiti
Date : March 29 2020, 07:55 AM
this one helps. Here is my dataframe : , How about this:
code :
df2 = df2.apply(lambda axis: [axis[0]] + [x['tag_name'] for x in axis[1:]], axis=1)
df2 = df2.apply(lambda axis: [x['tag_name'] if type(x) == dict else x for x in axis], axis=1)
how to replace a cell in a pandas dataframe

how to replace a cell in a pandas dataframe


By : D Indra
Date : March 29 2020, 07:55 AM
it fixes the issue After forming the below python pandas dataframe (for example) , Hope you are looking for where for conditional replacement i.e
code :
def wow(x):    
    return x ** 10

df['new'] = df['Age'].where(~(df['Name'] == 'Alex'),wow(df['Age']))
      Name  Age           new
0    Alex   10   10000000000
1     Bob   12            12
2  Clarke   13            13
3    Alex   15  576650390625
df['new'] = df['PEER_SRC_IP'].apply(lookup_netelement)
def wow(x,y):    
    return '{} {}'.format(x,y)

df.apply(lambda x : wow(x['Name'],x['Age']),1)
I need to replace one cell with another in pandas dataframe

I need to replace one cell with another in pandas dataframe


By : user2444134
Date : March 29 2020, 07:55 AM
hope this fix your issue I want to replace one cell of a row with another cell of same row in pandas data frameenter image description here , This can solve your specific problem:
code :
df.iloc[4,3] = df.iloc[4,2]
df.iloc[4,2] = df.iloc[4,1]
Python Pandas replace a cell containing a string with its above cell

Python Pandas replace a cell containing a string with its above cell


By : henryalgnp
Date : March 29 2020, 07:55 AM
hop of those help? The general structure for these kind of problems is df.loc[cond, col] = ...
Using @meW's setup,
code :
df = pd.DataFrame({'col': ['Elephant', 'Grass', 'Parameter', 'Root']})
df.loc[df.col.eq('Parameter'), 'col'] = df.col.shift(1)

    col
0   Elephant
1   Grass
2   Grass
3   Root
Pandas: replace empty cell to 0

Pandas: replace empty cell to 0


By : Danilo Lopez
Date : March 29 2020, 07:55 AM
may help you . You are creating a copy of the dataframe but the original one is not keeping the changes, you need to specify "inplace=True" if you want the dataframe to persist the changes
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