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Conditional replacing - Python


Conditional replacing - Python

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Conditional replacing - Python
Tag : python , By : General Mills
Date : November 29 2020, 04:01 AM

I think the issue was by ths following , I have this dataframe: , Just use df.replace():
import numpy as np

x.replace('.',np.nan)
   col1  col2
0   1.0     3
1   2.0     4
2   NaN     5

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how to do conditional replacing using vim


Tag : vim , By : Cenneca
Date : March 29 2020, 07:55 AM
To fix this issue I want to replace word with WORD, but only on the lines which start with -. Anybody knows how to do it?
:%g/^-/s/word/WORD/g

Python Pandas replacing nan's in one column conditional on observations in another column


Tag : python-2.7 , By : Mena
Date : March 29 2020, 07:55 AM
it fixes the issue This was a bit more annoying to code, basically we can apply a custom function that performs the lookup for you:
In [106]:
# define our function
def func(x):
    # test to see if the asterisk is present
    if x.find('*') > 0:
        # perform a lookup on a slice of the passed in string
        return(current_data.loc[current_data.X==x[0:x.find('*')],'Y'].values.max())
# using loc assign to column 'Y' where it is null the returned calculation of the apply
current_data.loc[current_data.Y.isnull(),'Y'] = current_data[current_data.Y.isnull()]['X'].apply(func)
current_data
Out[106]:
      X   Y
0  3*NY   4
1     3   4
2     2   5
3  2*NY   5
4     1   8
5     7 NaN

python pandas replacing column values conditional on string patterns and using split()


Tag : regex , By : kuba53280
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further This is a response to your second question (you should stick to one question per post).
df.loc[:, ['e0', 'e1']].apply(lambda x: x.str.strip())

Replacing conditional with something?


Tag : chash , By : bdurbin
Date : March 29 2020, 07:55 AM
I wish this help you The pattern I would use here is just encapsulation. The nesting here is hard to follow, and worsened by the equality comparisons. If possible, instead of exposing the raw field, try encapsulating the intent.
e.g. Instead of if (data.ApplicationPurpose == ApplicationPurpose.Renewal) try extending ApplicationStatusData with a property like
bool IsRenewalApplication 
{
 get 
 {
  return this.ApplicationPurpose == ApplicationPurpose.Renewal;
 }
}

Replacing DataFrame index values in python with conditional argument


Tag : python , By : rhinojosa
Date : March 29 2020, 07:55 AM
like below fixes the issue In pandas for replace values in index or columns is used function rename:
df = df.rename(d)
print (df)
               Country
South Korea         12
United States       13
United Kingdom      14
Hong Kong           15
df = pd.concat([df] * 100000)

In [11]: %timeit df.rename(d)
10 loops, best of 3: 75.7 ms per loop

In [12]: %timeit pd.Series(df.index).replace(d)
10 loops, best of 3: 71.8 ms per loop

In [13]: %timeit pd.Series(df.index.values).replace(d)
10 loops, best of 3: 75.3 ms per loop
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