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Articles by Gireesha Devara
Page 13 of 18
How to retrieve rows of a series object by regular expression in the pandas filter method?
By using the regex parameter we can apply the regular expression to the filter() method and this helps to retrieve the rows of the series object. The basic working of series.filter() method in pandas series constructor is used to subset the rows of a series object based on the index labels.The parameter regex is used to define a search pattern (regular expression) that is used to retrieve the resultant rows.Example 1In this following example, we have created a series object using a list of integers and the index labels are created by using the pandas data range function.# importing pandas ...
Read MoreWhat does the pandas series.filter() method do?
The series.filter() method in the pandas series constructor is used to subset the rows of a series object based on the index labels. The filter method does not work for the content of the series object, it is only applied to the index labels of the series object.The method won’t raise an error if the specified label does not match to the series index labels.The parameters for the filter() method are items, like, regex, and axis. The items parameter takes a list-like object to access the set of rows from the given series object. The regex parameter is used to ...
Read MoreHow does the pandas series.expanding() method work?
The series.expanding() method is one of the window methods of pandas and it Provides expanding transformations. And it returns a window subclassed for the particular operation.The parameters for this method are min_periods, center, axis, and method. The default value for the min_periods is 1 and it also takes an integer value. The center parameter takes a boolean value and the default one is False. In the same way, the default value for the axis parameter is 0, and for the method is ‘single’.Example 1In this following example, the series.expanding() method calculated the cumulative sum of the entire series object# importing ...
Read MoreHow does the pandas series.ffill() method work?
The pandas series.ffill() method works equal to the series.fillna() with “method = ffill” function or we can say that the series.ffill() is a synonym for the forward fill method.The series.ffill() method replaces the Nan or NA values in the given series object using the forward fill method. The parameters for this method are inplace, axis, limit, and downcast.It does not have parameters like value and method. Because it takes the series element as a replacement value and fills the missing values using the forward fill method.Example 1In this following example, we have applied the ffill() method to the series object ...
Read MoreWhat is the basic operation of pandas Series.factorize() function?
The pandas Series.factorize() method is used to encode the series object as an enumerated type or categorical variable. This method generates the numeric representation of the series data.The output of this Series.factorize() method is a tuple and it has two elements one is indicating codes and another element indicates uniques.Example 1In the following example, we will see how the series.factorize() method encodes the elements of the series object.# importing pandas package import pandas as pd # create a series s = pd.Series({'A':"aa", 'B':"bb", "C":"cc"}) print(s) result = s.factorize() print(result)ExplanationHere the series object is created by using a python ...
Read MoreHow to unnest (explode) a row in a pandas series?
If some of the elements in the series object have lists, then we can unnest those list elements into multiple rows of the series object. Unnesting is nothing but exploding the lists into rows.So this transformation can be done easily with the help of the pandas series.explode() method. This method is used to transform list-like elements of a series object into rows, and the index will be duplicated for these rows.The ignore_index is the only parameter for this method and it takes boolean values, False is the default one, and True means the resulting index will be labeled from 0 ...
Read MoreHow does the pandas series.equals() method handle the null values?
It is very common to have missing values in a series object, and if you want to compare that type of series objects then the ordinary comparison does not work because nan != nan, In that case, we can use the equals() method. The equals() method considers Nan’s in the same location to be equal.The fundamental operation of the pandas series.equals() method is used to compare two series for equality. it returns True if the two series have the same elements and shape, and returns False if the two series are unequal.Example 1In the following example, two series objects series1 ...
Read MoreWhat is the basic operation of the series.equals() method in pandas?
The basic operation of the series.equals() method in the pandas constructor is used to test whether the elements in two series objects are the same or not, and it also compares the shape of the two series object.The equals() method is very similar to the pandas series.eq() method but the difference is it will return a boolean value as a result, whereas the eq() method returns a series object with boolean values.The output boolean value True indicates the elements in two series objects are the same. And it indicates False for unequal elements in series objects.Example 1In the following example, ...
Read MoreHow to handle the null values while comparing the two series objects using series.eq() method?
The Pandas series.eq() method is used to compare every element of a given series with a passed parameter (other series object or a scalar value). It will return True for every element which is equal to the element in the other series object (passed series object).The output of the eq() method is a series with boolean values and it performs an element-wise comparison operation which is nothing but caller series = other series. In the resultant series, the True value indicates the equivalent value in the other series object as well as, the False value indicates an unequal value.Handling of ...
Read MoreWhat is the basic operation of the series.eq() method in pandas?
The series.eq() method in the pandas constructor is used to compare elements of the given series with others (maybe another series or a scalar value). As a result, It will return a new series object with boolean values.The element-wise equal operation is done by using this eq() method. The boolean value True represents the equivalent value in the second series object. And remaining unequal values are represented by the boolean value False.The parameters of the eq() method are other, fill_value, and level.Example 1In the following example, we will see how the eq() method compares elements of a series object with ...
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