frecuency_plot.py
def split_array_like (self):
        '''
        Method to separate all the single values in the array and append them
        to a list. It iterates trough all the rows in the data
        
        Args: 
            None
        
        Returns: 
            pandasseries: list of values
        '''


        #Order values by count, rename columns and split strings
        temp = self.data.value_counts().reset_index()
        temp.rename(columns = {'index': 'method',
                               'col_name':'count'}, inplace = True)
        temp['method'] = temp['method'].str.split(self.sep_type)

        #Create a list with all separated values
        val_list = []
        for i in range(temp.shape[0]):
            for j in temp['method'][i]:
                val_list.append(j)

        #Convert list to series
        series = pd.Series(val_list)

        return series

        Method to separate all the single values in the array and append them
        to a list. It iterates trough all the rows in the data
        
        Args: 
            None
        
        Returns: 
            pandasseries: list of values
        
Method to separate all the single values in the array and append them
to a list. It iterates trough all the rows in the data

None

list of values
Method to separate all the single values in the array and append them to a list . It iterates trough all the rows in the data None list of values
def split_array_like (self):
        temp = self.data.value_counts().reset_index()
        temp.rename(columns = {'index': 'method',
                               'col_name':'count'}, inplace = True)
        temp['method'] = temp['method'].str.split(self.sep_type)
        val_list = []
        for i in range(temp.shape[0]):
            for j in temp['method'][i]:
                val_list.append(j)
        series = pd.Series(val_list)
        return series
def split_array_like ( self ) : temp = self . data . value_counts ( ) . reset_index ( ) temp . rename ( columns = { 'index' : 'method' , 'col_name' : 'count' } , inplace = True ) temp [ 'method' ] = temp [ 'method' ] . str . split ( self . sep_type ) val_list = [ ] for i in range ( temp . shape [ 0 ] ) : for j in temp [ 'method' ] [ i ] : val_list . append ( j ) series = pd . Series ( val_list ) return series
Method to separate all the single values in the array and append them
to a list.
Method to separate all the single values in the array and append them to a list .
'''
        Method to separate all the single values in the array and append them
        to a list. It iterates trough all the rows in the data
        
        Args: 
            None
        
        Returns: 
            pandasseries: list of values
        ''' #Order values by count, rename columns and split strings
 #Create a list with all separated values
 #Convert list to series

self