Hello everyone! Today I want to write about the Pandas library link to the website. People who are familiar with R would see similarities to R too. It would have been so much easier to do what I did there using Pandas! You would also need to have Python 3. If you want to install in a different way, these are the full installation instructions.
In order to import Pandas all you have to do is run the following code:. Also, you would import numpy as well, because it is very useful library for scientific computing with Python. Now Pandas is ready for use! Remember, you would need to do it every time you start a new Jupyter Notebook, Spyder file etc.
There are different commands to each of these options, but when you open a file, they would look like this:. You would give the path, filename etc inside the parenthesis. Inside the parenthesis you can also pass different arguments that relate to how to open the file.
There are numerous arguments and in order to know all you them, you would have to read the documentation for example, the documentation for pd. In order to convert a certain Python object dictionary, lists etc the basic command is:. This command also has different arguments clickable link. The general code for that is:. How does the data frame look? Running the name of the data frame would give you the entire table, but you can also get the first n rows with df.
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Is there a ppt library that don't need PIL? I had about the same issue. When I updated the pillow library pretty easy to do with Anaconda which I use the issue was gone. Learn more. Asked 5 years, 2 months ago. Active 7 months ago. Viewed 5k times. Is there a specific reason that your application can't run as a bit? I think that might be the easiest solution. PIL in main website don't have the install for bit. Is there a reason you don't want to use pip to install it?
Installs fine for me in a bit windows 2. Install Pillow from here. Download the. Active Oldest Votes.
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Python For Beginners
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It's also easy for beginners to use and learn, so jump in! Even some Windows computers notably those from HP now come with Python already installed. Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory booksor look at code samples that you might find helpful. There is also a list of resources in other languages which might be useful if English is not your first language.
The online documentation is your first port of call for definitive information. There is a fairly brief tutorial that gives you basic information about the language and gets you started. You can follow this by looking at the library reference for a full description of Python's many libraries and the language reference for a complete though somewhat dry explanation of Python's syntax. If you are looking for common Python recipes and patterns, you can browse the ActiveState Python Cookbook.
If you want to know whether a particular application, or a library with particular functionality, is available in Python there are a number of possible sources of information. There is also a search page for a number of sources of Python-related information. Failing that, just Google for a phrase including the word ''python'' and you may well get the result you need. If all else fails, ask on the python newsgroup and there's a good chance someone will put you on the right track.
If you have a question, it's a good idea to try the FAQwhich answers the most commonly asked questions about Python. If you want to help to develop Python, take a look at the developer area for further information.
Please note that you don't have to be an expert programmer to help. The documentation is just as important as the compiler, and still needs plenty of work! Skip to content. Learning Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory booksor look at code samples that you might find helpful.Learning to use this library efficiently is also an essential part of Python Certification curriculum.
Below is the sequence in which I will be covering all the topics of python matplotlib:. Some of them are separate downloads, others can be shipped with the matplotlib source code but have external dependencies. Output —. Let us see how can we add title, labels to our graph created by python matplotlib library to bring in more meaning to it.
Consider the below example:. What if you want to change the width or color of a particular line or what if you want to have some grid lines, there you need styling! So, let me show you how to add style to a graph using python matplotlib. First, let us understand why do we need a bar graph. A bar graph uses bars to compare data among different categories. It is well suited when you want to measure the changes over a period of time. It can be represented horizontally or vertically. Also, the important thing to keep in mind is that longer the bar, greater is the value.
Now, let us practically implement it using python matplotlib. In the above plot, I have displayed the comparison between the distance covered by two cars BMW and Audi over a period of 5 days.
Next, let us move on to another kind of plot using python matplotlib — Histogram. Let me first tell you the difference between a bar graph and a histogram.
Histograms are used to show a distribution whereas a bar chart is used to compare different entities. Histograms are useful when you have arrays or a very long list. Now, bin refers to the range of values that are divided into series of intervals. Bins are usually created of the same size. In the below code, I have created the bins in the interval of 10 which means the first bin contains elements from 0 to 9, then 10 to 19 and so on. As you can see in the above plot, we got age groups with respect to the bins.
Our biggest age group is between 40 and The data is displayed as a collection of points, each having the value of one variable which determines the position on the horizontal axis and the value of other variable determines the position on the vertical axis.
As you can see in the above graph, I have plotted two scatter plots based on the inputs specified in the above code.Love it or loathe it, PowerPoint is widely used in most business settings. Fortunately for us, there is an excellent python library for creating and updating PowerPoint files: python-pptx. The API is very well documented so it is pretty easy to use. The only tricky part is understanding the PowerPoint document structure including the various master layouts and elements.
Once you understand the basics, it is relatively simple to automate the creation of your own PowerPoint slides. Python-pptx can create blank PowerPoint files but most people are going to prefer working with a predefined template that you can customize with your own content.
Before diving into some code samples, there are two key components you need to understand: Slide Layouts and Placeholders. The basic flow of this function is to loop through and create an example of every layout included in the source PowerPoint file.
Then on each slide, it will populate the title if it exists. After we create our command line args, we read the source Excel file into a pandas DataFrame.
We have a chart and a pivot table completed. Before I go any farther, there are a couple of things to note. You need to know what layout you would like to use as well as where you want to populate your content.
This code creates a new presentation based on our input file, adds a single slide and populates the title and subtitle on the slide. From our previous analysis, we know that the graph slide we want to use is layout index 8, so we create a new slide, add a title then add a picture into placeholder 1.
The good news is that there is an API to create one. However, we are very fortunate that someone has already done all the hard work for us and created PandasToPowerPoint. This excellent piece of code takes a DataFrame and converts it to a PowerPoint compatible table.
I have taken the liberty of including a portion of it in my script. The code takes each manager out of the pivot table and builds a simple DataFrame that contains the summary data. All of the relevant files are available in the github repository.
One of the things I really enjoy about using python to solve real world business problems is that I am frequently pleasantly surprised at the rich ecosystem of very well thought out python tools already available to help with my problems. After reading this article, you should know that there is some hope for you next time you are asked to create a bunch of reports in PowerPoint. We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.
Toggle navigation. Practical Business Python Taking care of business, one python script at a time. Introduction Love it or loathe it, PowerPoint is widely used in most business settings. The output file contains marked up information to make it easier for generating future powerpoint templates. Conclusion One of the things I really enjoy about using python to solve real world business problems is that I am frequently pleasantly surprised at the rich ecosystem of very well thought out python tools already available to help with my problems.
Subscribe to the mailing list Email address.Released: May 3, View statistics for this project via Libraries. Tags powerpoint, ppt, pptx, office, open, xml. A typical use would be generating a customized PowerPoint presentation from database content, downloadable by clicking a link in a web application. Several developers have used it to automate production of presentation-ready engineering status reports based on information held in their work management system.
It could also be used for making bulk updates to a library of presentations or simply to automate the production of a slide or two that would be tedious to get right by hand.
More information is available in the python-pptx documentation. Browse examples with screenshots to get a quick idea what you can do with python-pptx. Previously a control character other than tab or newline in an assigned string would trigger an exception related to invalid XML character.
Some changes were made to the boilerplate XML used to create new charts. This was done to more closely adhere to the settings PowerPoint uses when creating a chart using the UI.
This may result in some appearance changes in charts after upgrading. In particular:. TABLE for that property. A table is no longer treated as a shape. Rather it is a graphical object contained in a GraphicFrame shape, as are Chart and SmartArt objects.
As the enclosing shape, the id, name, shape type, position, and size are attributes of the enclosing GraphicFrame object. The enclosed graphical object is obtained using the properties GraphicFrame. SmartArt is not yet supported. Accessing one of these properties on a GraphicFrame not containing the corresponding object raises an exception. May 3, Dec 16, Nov 10, Sep 24, Sep 10, Aug 12, Jul 25, This page provides and bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language.
A few binaries are available for the PyPy distribution.
Matplotlib Tutorial – Python Matplotlib Library with Examples
Please only download files manually as needed. Use pip version This page is not a pip package index. Many binaries depend on numpy Many binaries are not compatible with Windows XP or Wine. The packages are ZIP or 7z files, which allows for manual or scripted installation or repackaging of the content. The files are provided "as is" without warranty or support of any kind.
The entire risk as to the quality and performance is with you. The opinions or statements expressed on this page should not be taken as a position or endorsement of the Laboratory for Fluorescence Dynamics or the University of California.