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Adding a string based off of the first character in pandas python


Adding a string based off of the first character in pandas python

By : Lindsey
Date : November 20 2020, 03:01 PM
hop of those help? IIUC you can use str.startswith() and boolean indexing:
code :
main_data.loc[main_data['Payor_ID_Number'].str.startswith('M'), 'Payor_ID_Number'] += '01'


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adding a new row in pandas based on a certain condition? python

adding a new row in pandas based on a certain condition? python


By : Luc
Date : March 29 2020, 07:55 AM
I hope this helps . Is it possible to use pd.apply() to add a new row if the isinstance(x, list) is True So for instance, can I make idx 57 into three different rows in the same dataframe? , Something like this?
code :
In [106]: s = pd.Series(["the University of Notre Dame", ["Berkeley", "Columbia Business School", "Haas"]])

In [107]: s
Out[107]: 
0                  the University of Notre Dame
1    [Berkeley, Columbia Business School, Haas]
dtype: object

In [110]: s.apply(pd.Series).stack().reset_index(drop=True)
Out[110]: 
0    the University of Notre Dame
1                        Berkeley
2        Columbia Business School
3                            Haas
dtype: object
Python Pandas slice column string up to a character based on condition

Python Pandas slice column string up to a character based on condition


By : user1498844
Date : March 29 2020, 07:55 AM
I hope this helps . I tried different ways to slice Panda column strings up to a specific character based on a condition. , You can just use pd.Series.str.split to get everything before ' ('.
code :
import pandas as pd

df = pd.DataFrame({'Name': ['Braund, Mr. Owen Harris',
                           'Cummings, Mrs. John Bradley (Florence Briggs)',
                           'Heikkinen, Miss. Laina',
                           'Futrelle, Mrs. Jacques Heath (Lily May Peel)',
                           'Allen, Mr. William Henry']})

df['Name'] = df.Name.str.split(' \(', expand=True)[0]
print(df)
                           Name
0       Braund, Mr. Owen Harris
1   Cummings, Mrs. John Bradley
2        Heikkinen, Miss. Laina
3  Futrelle, Mrs. Jacques Heath
4      Allen, Mr. William Henry
Python-Pandas Join two columns by adding a character

Python-Pandas Join two columns by adding a character


By : user1501689
Date : March 29 2020, 07:55 AM
seems to work fine
code :
df.col2 = df.col2.astype(str).str.cat(df.col3, sep='/')
Python Pandas Dataframe dropping rows based on a column containing a character

Python Pandas Dataframe dropping rows based on a column containing a character


By : alessandrodiruscio
Date : March 29 2020, 07:55 AM
this will help I have a dataframe and most of the columns 'arr' have a date correctly formatted as , IIUC
code :
df[~df.dates.atype(str).str.contains('/')]
df = pd.DataFrame()
df['dates'] = ['2011-01-20', '2011-01-20', '2011/01/20', '2011-01-20']

    dates
0   2011-01-20
1   2011-01-20
2   2011/01/20
3   2011-01-20
df[~df.dates.str.contains('/')]

    dates
0   2011-01-20
1   2011-01-20
3   2011-01-20
df[df['dates'].map(lambda x: False if '/' in x else True )]

    dates
0   2011-01-20
1   2011-01-20
3   2011-01-20
df[df['dates'].map(lambda x: not '/' in x )]

    dates
0   2011-01-20
1   2011-01-20
3   2011-01-20
Grouping and adding values based on row string with pandas?

Grouping and adding values based on row string with pandas?


By : user3406517
Date : March 29 2020, 07:55 AM
wish help you to fix your issue I have the following pandas data set: , I think this might help
code :
a=your_df.groupby(["fruit"]).sum()["value"]
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