/Python/Pandas apply check for string length in column

Pandas apply check for string length in column

#The *mask* variable is a dataframe of booleans, giving you True or False for the selected condition
mask = df[['A','B']].applymap(lambda x: len(str(x)) == 10)

#Here you can just use the mask to filter your rows, using the method *.all()* to filter only rows that are all True, but you could also use the *.any()* method for other needs
df = df[mask.all(axis=1)]

Source: stackoverflow.com

Pandas apply check for string length in column

df=pd.read_csv('filex.csv')
df.A=df.A.apply(lambda x: x if len(x)== 10 else np.nan)
df.B=df.B.apply(lambda x: x if len(x)== 10 else np.nan)
df=df.dropna(subset=['A','B'], how='any')

Source: stackoverflow.com

Similar codes

0 vote239 views2 answers
Python stopwords not defined
Python
58 votes223 views6 answers
Matplotlib plot
Python
0 vote262 views2 answers
Update a package with pip in django
Python Django
0 vote240 views1 answer
AttributeError: 'QuerySet' object has no attribute django
Python
0 vote211 views1 answer
Pandas replace substring in column names
Python
0 vote254 views1 answer
Create django model field based on another field
Python
1 vote202 views2 answers
Print hexadecimal in python
Python
0 vote212 views1 answer
File "main.py", line 11 if message.author == client.user: ^ IndentationError: expected an indented block
Python
0 vote230 views1 answer
Drf serializer unique together
Python
1 vote230 views1 answer
Get number of key in dictionary python
Python