Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://www.geeksforgeeks.org/pandas/python-pandas-series-iloc/ below:

Python | Pandas Series.iloc - GeeksforGeeks

Last Updated : 28 Jan, 2019

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages.

is one of those packages and makes importing and analyzing data much easier. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas

attribute enables purely integer-location based indexing for selection by position over the given Series object.

Syntax:Series.iloc Parameter : None Returns : Series

Use

attribute to perform indexing over the given Series object.

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon'])

# Creating the row axis labels
sr.index = ['City 1', 'City 2', 'City 3', 'City 4'] 

# Print the series
print(sr)

Now we will use

attribute to perform indexing over the given Series object.

# slice the object element in the 
# passed range
sr.iloc[0:2]

As we can see in the output, the

attribute has returned a series object containing the sliced element from the original Series object.

Use

attribute to perform indexing over the given Series object.

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series(['1/1/2018', '2/1/2018', '3/1/2018', '4/1/2018'])

# Creating the row axis labels
sr.index = ['Day 1', 'Day 2', 'Day 3', 'Day 4']

# Print the series
print(sr)

Now we will use

attribute to perform indexing over the given Series object.

# slice the object element in the 
# passed range
sr.iloc[1:3]

As we can see in the output, the

attribute has returned a series object containing the sliced element from the original Series object.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4