apply function and def

text-preprocessing

@QuinnFox12

.partition() (picking up piece of string between separators) findall and search text between 2 strings apply function and def Python regex related snippets convert tra to sim chinese remove punc and stopword chinese most common words for each sector and visualize preprocessing Text Full and path convert dataframe to txt, to list Working with null nan nul preprocessing Text Full and path colab common useful snippets multi txt to pandas convert stopword list from sim to tra n-gram with filter POS tag Retrain spacy tagger pos working with time series snippets Extract Text From PDF with Python time in pandas dataframe python vlookup dataframe remove blank string in list check if 2 strings in string

python code

@QuinnFox12

.partition() (picking up piece of string between separators) findall and search text between 2 strings Combine columns in dataframe create and save dataframe to csv replace function in dataframe apply function and def Read filenames in folder Python regex related snippets create and save dataframe to csv mount Drive and colab Print function working with time series snippets Train Fasttext - GloVe algorithm on my own corpus Extract Tables from PDFs or website Remove blank cell in pandas dataframe time in pandas dataframe python vlookup dataframe dataframe all related

pandas

@QuinnFox12

Combine columns in dataframe create and save dataframe to csv replace function in dataframe apply function and def convert tra to sim chinese create and save dataframe to csv remove punc and stopword chinese preprocessing Text Full and path convert dataframe to txt, to list Working with null nan nul preprocessing Text Full and path multi txt to pandas Pandas selection iloc loc note working with time series snippets group by the first column and get second column as lists in rows: Remove blank cell in pandas dataframe time in pandas dataframe python vlookup dataframe select pandas column as dataframe instead of series dataframe all related Concate dataframe in for loop

#python #python #strings #vowels #function

Get vowels in strings

This method gets vowels (‘a’, ‘e’, ‘i’, ‘o’, ‘u’) found in a string.
   
#make a function:
def get_vowels(string):

#return is the keyword which means function have to return value: 
 return [each for each in string if each in 'aeiou']


#assign the words and function will return vowels words.
get_vowels('foobar') # ['o', 'o', 'a']


get_vowels('gym') # []

#python #function

Python when function - to apply a function when predicate(x) is True

def when(predicate, when_true):
  return lambda x: when_true(x) if predicate(x) else x
  
EXAMPLES
double_even_numbers = when(lambda x: x % 2 == 0, lambda x : x * 2)
double_even_numbers(2) # 4
double_even_numbers(1) # 1

#python #lists #function

Build a list using an iterator Python unfold function

def unfold(fn, seed):
  def fn_generator(val):
    while True: 
      val = fn(val[1])
      if val == False: break
      yield val[0]
  return [i for i in fn_generator([None, seed])]
  
  
EXAMPLES
f = lambda n: False if n > 50 else [-n, n + 10]
unfold(f, 10) # [-10, -20, -30, -40, -50]

#python #pandas #data-cleaning

Forward fills Column names

def ffill_cols(df, cols_to_fill_name='Unn'):
    """
    Forward fills column names. Propagate last valid column name forward to next invalid column. Works similarly to pandas
    ffill().
    
    :param df: pandas Dataframe; Dataframe
    :param cols_to_fill_name: str; The name of the columns you would like forward filled. Default is 'Unn' as
    the default name pandas gives unnamed columns is 'Unnamed'
    
    :returns: list; List of new column names
    """
    cols = df.columns.to_list()
    for i, j in enumerate(cols):
        if j.startswith(cols_to_fill_name):
            cols[i] = cols[i-1]
    return cols

#python #datetime #pandas

Convert Excel Days Date to real date Pandas

df['SettlementDate'] = pd.TimedeltaIndex(df['SettlementDate'], unit='d') + dt.datetime(1900,1,1)

#python #function

Python compose function - performs right-to-left function composition

from functools import reduce

def compose(*fns):
  return reduce(lambda f, g: lambda *args: f(g(*args)), fns)


EXAMPLES
add5 = lambda x: x + 5
multiply = lambda x, y: x * y
multiply_and_add_5 = compose(add5, multiply)

multiply_and_add_5(5, 2) # 15

#python #function #returnfunction

How to use of “return” keyword in a function

#define a function 
 1.Def cube(num)
      #write the formula of cube
      2.return num*num*num
     #give the number to calculate the cube 
     3.cube(3)
   # print the cube of that number simply by using print command
    4.print(cube(3))
     5.“return” keyword means that function have to return value

#python #python #function #return #allunique

All unique

#define function
defall_unique(lst):

   return len(lst) == len(set(lst))
   
x = [1,1,2,2,3,2,3,4,5,6]


y = [1,2,3,4,5]


all_unique(x) # False
all_unique(y) # True

#python #function #python #def

How to define function - by using keyword def

 # give a name of function after def
 1.def sayhi():
      #put the statement in the function  
     2.print(“hello world”)
#call function by name:
3.sayhi()


Output: 
Hello world

#python #python #function #return

How to use of “return” keyword in a function?

#define a function 
 Def cube(num)
      #write the formula of cube
      return num*num*num
     #give the number to calculate the cube 
     cube(3)
   # print the cube of that number simply by using print command
    print(cube(3))
     “return” keyword means that function have to return          value

#python #python #function #composition

Performs right-to-left function composition.

Use functools.reduce() to perform right-to-left function composition. The last (rightmost) function can accept one or more arguments; the remaining functions must be unary.
from functools import reduce

1.def compose(*fns):
  2.return reduce(lambda f, g: lambda *args: f(g(*args)), fns)
EXAMPLES
add5 = lambda x: x + 5
multiply = lambda x, y: x * y
multiply_and_add_5 = compose(add5, multiply)

multiply_and_add_5(5, 2) # 15

#python #python #function #bytesize #return

How to find byte size?

def byte_size(string):

  return(len(string.encode('utf-8')))

byte_size('😀’) # 4
byte_size('Hello World') # 11

#wordpress #google #tag #manager #function

WordPress add Google tag manager by function

add_action( 'wp_body_open', 'wpdoc_add_custom_body_open_code' );
 
function wpdoc_add_custom_body_open_code() {
    echo '<!-- Google Tag Manager (noscript) --> ... <!-- End Google Tag Manager (noscript) -->';
}

#textpreprocessing #nlp #pandas #function

replace function in dataframe

for c in df_drop.columns:
    df_drop[c] = df_drop[c].str.replace('[^\w\s]+', '')
df_drop = df_drop.astype(str)
df_drop.head()

#textpreprocessing #nlp #function #pandas

apply function and def

rmsval = df.loc[:, 'c1':'c4']
def getrms(row):  
  a = np.sqrt(sum(row**2/4))
  return a
df['rms'] = df.apply(getrms,axis=1)
df.head()

Save snippets that work from anywhere online with our extensions

Comments

More like this

text-preprocessing

python code

pandas

Browse more snippets >>

apply function and def

Save snippets that work from anywhere online with our extensions

Comments

More like this

text-preprocessing

python code

pandas

Browse more snippets >>

Embed code snippet