Conversion Operation on Series
In conversion operation we perform various operation like changing datatype of series, changing a series to list etc. In order to perform conversion operation we have various function which help in conversion like .astype(), .tolist() etc.
Code #1:
# Python program using astype
# to convert a datatype of series
# importing pandas module
import pandas as pd
# reading csv file from url
data = pd.read_csv("nba.csv")
# dropping null value columns to avoid errors
data.dropna(inplace = True)
# storing dtype before converting
before = data.dtypes
# converting dtypes using astype
data["Salary"]= data["Salary"].astype(int)
data["Number"]= data["Number"].astype(str)
# storing dtype after converting
after = data.dtypes
# printing to compare
print("BEFORE CONVERSION\n", before, "\n")
print("AFTER CONVERSION\n", after, "\n")
Output :
Code #2:
# Python program converting
# a series into list
# importing pandas module
import pandas as pd
# importing regex module
import re
# making data frame
data = pd.read_csv("nba.csv")
# removing null values to avoid errors
data.dropna(inplace = True)
# storing dtype before operation
dtype_before = type(data["Salary"])
# converting to list
salary_list = data["Salary"].tolist()
# storing dtype after operation
dtype_after = type(salary_list)
# printing dtype
print("Data type before converting = {}\nData type after converting = {}"
.format(dtype_before, dtype_after))
# displaying list
salary_list
Output :
Binary operation methods on series:
| FUNCTION | DESCRIPTION |
|---|---|
| add() | Method is used to add series or list like objects with same length to the caller series |
| sub() | Method is used to subtract series or list like objects with same length from the caller series |
| mul() | Method is used to multiply series or list like objects with same length with the caller series |
| div() | Method is used to divide series or list like objects with same length by the caller series |
| sum() | Returns the sum of the values for the requested axis |
| prod() | Returns the product of the values for the requested axis |
| mean() | Returns the mean of the values for the requested axis |
| pow() | Method is used to put each element of passed series as exponential power of caller series and returned the results |
| abs() | Method is used to get the absolute numeric value of each element in Series/DataFrame |
| cov() | Method is used to find covariance of two series |
Pandas series method:
| FUNCTION | DESCRIPTION |
|---|---|
| Series() | A pandas Series can be created with the Series() constructor method. This constructor method accepts a variety of inputs |
| combine_first() | Method is used to combine two series into one |
| count() | Returns number of non-NA/null observations in the Series |
| size() | Returns the number of elements in the underlying data |
| name() | Method allows to give a name to a Series object, i.e. to the column |
| is_unique() | Method returns boolean if values in the object are unique |
| idxmax() | Method to extract the index positions of the highest values in a Series |
| idxmin() | Method to extract the index positions of the lowest values in a Series |
| sort_values() | Method is called on a Series to sort the values in ascending or descending order |
| sort_index() | Method is called on a pandas Series to sort it by the index instead of its values |
| head() | Method is used to return a specified number of rows from the beginning of a Series. The method returns a brand new Series |
| tail() | Method is used to return a specified number of rows from the end of a Series. The method returns a brand new Series |
| le() | Used to compare every element of Caller series with passed series.It returns True for every element which is Less than or Equal to the element in passed series |
| ne() | Used to compare every element of Caller series with passed series. It returns True for every element which is Not Equal to the element in passed series |
| ge() | Used to compare every element of Caller series with passed series. It returns True for every element which is Greater than or Equal to the element in passed series |
| eq() | Used to compare every element of Caller series with passed series. It returns True for every element which is Equal to the element in passed series |
| gt() | Used to compare two series and return Boolean value for every respective element |
| lt() | Used to compare two series and return Boolean value for every respective element |
| clip() | Used to clip value below and above to passed Least and Max value |
| clip_lower() | Used to clip values below a passed least value |
| clip_upper() | Used to clip values above a passed maximum value |
| astype() | Method is used to change data type of a series |
| tolist() | Method is used to convert a series to list |
| get() | Method is called on a Series to extract values from a Series. This is alternative syntax to the traditional bracket syntax |
| unique() | Pandas unique() is used to see the unique values in a particular column |
| nunique() | Pandas nunique() is used to get a count of unique values |
| value_counts() | Method to count the number of the times each unique value occurs in a Series |
| factorize() | Method helps to get the numeric representation of an array by identifying distinct values |
| map() | Method to tie together the values from one object to another |
| between() | Pandas between() method is used on series to check which values lie between first and second argument |
| apply() | Method is called and feeded a Python function as an argument to use the function on every Series value. This method is helpful for executing custom operations that are not included in pandas or numpy |
Python Pandas Series
Pandas Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.).