['a', 'b', 'c']. The first one using an integer index and the second using a string based index. The axis labels are collectively called index. I have a Pandas dataframe (countries) and need to get specific index value. Access a group of rows and columns by label(s). The elements of a pandas series can be accessed using various methods. Create a simple Pandas Series from a list: import pandas as pd a = [1, 7, 2] myvar = pd.Series(a) ... myvar = pd.Series(calories, index = ["day1", "day2"]) What is a Series? A pandas Series can be created using the following constructor − pandas.Series( data, index, dtype, copy) The parameters of the constructor are as follows − Then we are trying to get the second value from the Series using the index. Pandas is one of those packages and makes importing and analyzing data much easier.. Pandas str.index() method is used to search and return lowest index of a substring in particular section (Between start and end) of every string in a series. Access a single value for a row/column pair by integer position. ; Copy data, default is False. An example is given below. In the below example we create a Series with a numeric index. It is a one-dimensional array holding data of any type. DataFrame.iat. ; index values. fruits.index. Output: Index(['apple', 'banana', 'orange', 'pear', 'peach'], dtype='object') Above, you can see the data type of the index … 5 or 'a', (note that 5 is interpreted as a label of the index, and never as an integer position along the index). DataFrame.loc. If multiple values equal the maximum, the first row label with that value is … The name to use for the column containing the original Series values. Uses self.name by default. See also. Removes all levels by default. name: object, optional. Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). pandas.Index.values¶ property Index.values¶. In order to find the index-only values, you can use the index function along with the series name and in return you will get all the index values as well as datatype of the index. pandas.Series. A panadas series is created by supplying data in various forms like ndarray, list, constants and the index values which must be unique and hashable. Example. A Pandas Series is like a column in a table. For a Series with a MultiIndex, only remove the specified levels from the index. drop: bool, default False. ; dtypes for data types. Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. pandas.Series.idxmax¶ Series.idxmax (axis = 0, skipna = True, * args, ** kwargs) [source] ¶ Return the row label of the maximum value. Just reset the index, without inserting it as a column in the new DataFrame. Example – Series Get Value by Index. Access a group of rows and columns by label(s) or a boolean array..loc[] is primarily label based, but may also be used with a boolean array. (Say index 2 => I need Japan) I used iloc, but i got the data (7.542) return countries.iloc[2] 7.542 Creating Pandas Series. A list or array of labels, e.g. pandas.Series.loc¶ property Series.loc¶. Suppose we want to change the order of the index of series, then we have to use the Series.reindex() Method of pandas module for performing this task.. Series, which is a 1-D labeled array capable of holding any data.. Syntax: pandas.Series(data, index, dtype, copy) Parameters: data takes ndarrys, list, constants. Let's first create a pandas series and then access it's elements. Allowed inputs are: A single label, e.g. Return an array representing the data in the Index. Example