python replace regex
import re
s = "Example String"
replaced = re.sub('[ES]', 'a', s)
print replaced
# will print 'axample atring'python replace regex
import re
s = "Example String"
replaced = re.sub('[ES]', 'a', s)
print replaced
# will print 'axample atring'isnull().mean() python
df.isnull()
#Mask all values that are NaN as True
df.isnull().mean()
#compute the mean of Boolean mask (True evaluates as 1 and False as 0)
df.isnull().mean().sort_values(ascending = False)
#sort the resulting series by column names descendingpickle.dump python
import pickle
# dump : put the data of the object in a file
pickle.dump(obj, open(file_path, "wb"))
# dumps : return the object in bytes
data = pickle.dump(obj)python re compile
import re
# Compile a regular expression pattern into a regular expression object, which can be used for matching using its match(), search() and other methods, described below.
prog = re.compile(pattern)
result = prog.match(string)
# is equivalent to
result = re.match(pattern, string)Copyright © 2021 Codeinu
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