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Matplotlib line style formatting  - Lesson 2
 
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This video demonstrates and explains the plotting syntax used in matplotlib.pyplot to format lines styles, line markers and line colors.
Views: 310 Ingenieur Cris
Engineering Python 15C: MatPlotLib Colors, Line Styles, and Markers
 
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Welcome to Engineering Python. This is a Python programming course for engineers. In this video, I'll talk about how to customize MatPlotLib line colors, line styles, and markers. I have already shown examples in two previous videos. In this video, I'll showcase all the possible choices so you can use this as a reference. The course materials are available on YouTube and GitHub. http://youtube.com/yongtwang http://github.com/yongtwang ---------------------------------------- Smart Energy Operations Research Lab (SEORL): http://binghamton.edu/seorl
Views: 223 Yong Wang
Basic plots with python matplotlib
 
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Learn how to create basic plots with matplotlib in Python: https://www.datacamp.com/courses/intermediate-python-for-data-science This first chapter is about data visualization, which is a very important part of data analysis. First of all, you will use it continuously to explore your dataset. The better you understand your data, the better you'll be able to extract insights. And once you've found those insights, again, you'll need visualization to be able to share your precious insights with other people. As an example, have a look at this beautfil plot. It's made by the Swedish professor Hans Rosling. His talks about global development have been viewed millions of times. And what makes them so intriguing, is that by making beautiful plots, he allows the data to tell their own story. Here we see a bubble chart, where each bubble represents a country. The bigger the bubble, the bigger the country's population, so the two biggest bubbles here are China and India. There are 2 axes. The horizontal axis shows the GDP per capita, in US dollars. The vertical axis shows life expectancy. We clearly see that people live longer in countries with a higher GDP per capita. Still, there is a huge difference in life expectancy between countries on the same income level. Now why do I tell you all of this? Well, because by the end of this chapter, you'll be able to build this beautiful plot yourself! There are many visualization packages in python, but the mother of them all, is matplotlib. You will need its subpackage pyplot. By convention, this subpackage is imported as plt, like this. For our first example, let's try to gain some insights in the evolution of the world population. I have a list with years here, year, and a list with corresponding populations, expressed in billions, pop. In the year 1970, for example, 3.7 billion people lived on planet Earth. To plot this data as a line chart, we call plt.plot() and use our two lists as arguments. The first argument corresponds to the hozontal axis, and the second one to the vertical axis. You might think that a plot will pop up right now, but Python's pretty lazy. It will wait for the show() function to actually display the plot. This is because you might want to add some extra ingredients to your plot before actually displaying it, such as titles and label customizations. I'll talk about that some more later on. Just remember this: the plot() function tells Python what to plot and how to plot it. show() actually displays the plot. When we look at our plot, we see that the years are indeed shown on the horizontal axis, and the populations on the vertical axis. There are four datapoints, and Python draws a line between them. In 1950, the world population was around 2 point 5 billion. In 2010, it was around 7 billion. So the world population has almost tripled in sixty years, that's pretty scary. What if the population keeps on growing like that? Will the world become over populated? You'll find out in the exercises. Let me first introduce you to another type of plot: the scatter plot. To create it, we can start from the code from before. This time, though, you change the plot function to scatter. The resulting scatter plot simply plots all the individual datapoints; Python doesn't connect the dots with a line. For many applications, the scatter plot is often a better choice than the line plot, so remember this scatter function well. You could also say that this is a more -honest- way of plotting your data, because you can clearly see that the plot is based on just four data points. Now that we've got the basics of matplotlib covered, it's your turn to build some awesome plots!
Views: 37153 DataCamp
Matplotlib Tutorial 15 - styles
 
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In this Matplotlib tutorial, we're going to be talking about styles. With Matplotlib, we have styles which serve a very similar purpose to Matplotlib graphs as CSS (cascading style sheet) pages serve for HTML. As you can see up to this point, all of these changes we're making to our graphs start to add up, and we only have one axis so far! We could use for loops to at least keep the amount of code down, but we can also make use of these styles with Matplotlib. The idea of a style page is to write your customization to a style file, and then, to use those changes and apply them to your graph, all you do is import style and then use that specific style. This way, let's say you are finding yourself always changing various elements of your graphs. Instead of having to write 25-200 lines of customization code per chart, you can just write it once to a style, and then load in that style and apply all of those changes in two lines! Let's get started. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 20408 sentdex
Matplotlib Tutorial 1 - Introduction and Line
 
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Welcome to a Matplotlib with Python 3+ tutorial series. In this series, we're going to be covering most aspects to the Matplotlib data visualization module. Matplotlib is capable of creating most kinds of charts, like line graphs, scatter plots, bar charts, pie charts, stack plots, 3D graphs, and geographic map graphs. First, in order to actually use Matplotlib, we're going to need it! If you have a later version of Python installed, you should be able to open cmd.exe/terminal and then run: pip install matplotlib Note: You may need to do C:/Python34/Scripts/pip install matplotlib if the above shorter version doesn't work. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 331351 sentdex
Matplotlib Tutorial 13 - spines and horizontal lines
 
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Welcome to another customization tutorial, where we discuss spines and horizontal lines with Matplotlib. Something you might want to do from time to time is to change the color of a spine, or maybe even remove one all together. A spine to a graph is basically the edge of the graph, where we have the ticks and such. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 20940 sentdex
Matplotlib Plotting Tutorials : 010 : Matplotlib Plot Styles
 
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All the programs and examples will be available in this public folder! https://www.dropbox.com/sh/okks00k2xufw9l3/AABkbbrfKetJPPsnfYa5BMSNa?dl=0
Views: 525 Fluidic Colours
Matplotlib Fast Style Customization Graphing Tutorial Python Programming
 
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In this Python and Matplotlib charting tutorial video, you are shown how to utilize the styles functionality in Matplotlib. The idea of styles is to serve a purpose similar to CSS stylesheets in web development. The idea here is that with charts, programmers tend to like to customize their data visualization by changing colors, fonts, and more within matplotlib. The problem arises when this requires a lot of effort and time, especially when you have multiple types of "settings" that you like to have for specific types of charts. Here, you can save all of your favorite settings in mpl style files that you can call up and reference to style your charts quickly and exactly how you want. Sample code: http://pythonprogramming.net/matplotlib-styles-tutorial/ http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 5449 sentdex
Matplotlib Tutorial 18 - annotating last price to edge of matplotlib graph example
 
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In this Matplotlib tutorial, we're going to show an example of how we can track the last price of a stock, by annotating it to the right side of the axis like a lot of charting applications will do. While people like to see historical prices in their live graphs, they also want to see the most recent price. What most applications do, is the annotate the last price at the y-axis height of the price, and then kind of highlight it and move it around a bit in a box of sorts as price changes. Using our recently-learned annotation tutorial, we can do this along with adding a bbox. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 12514 sentdex
Customizing plots with python matplotlib
 
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Learn how to make custom plots in Python with matplotlib: https://datacamp.com/courses/intermediate-python-for-data-science Creating a plot is one thing. Making the correct plot, that makes the message very clear, is the real challenge. For each visualization, you have many options. First of all, there are the different plot types. And for each plot, you can do an infinite number of customizations. You can change colors, shapes, labels, axes, and so on. The choice depends on, one, the data, and two, the story you want to tell with this data. Since there are a so many possible customizations, the best way to learn this, is by example. Let's start with the code in this script to build a simple line plot. It's similar to the line plot we've created in the first video, but this time the year and pop lists contain more data, including projections until the year 2100, forecasted by the United Nations. If we run this script, we already get a pretty nice plot: it shows that the population explosion that's going on, will have slowed down by the end of the century. But some things can be improved. First, it should be clearer which data we are displaying, especially to people who are seeing the graph for the first time. And second, the plot really needs to draw the attention to the population explosion. The first thing you always need to do is label your axes. Let's do this by adding the xlabel() and ylabel() functions. As inputs, we pass strings that should be placed alongside the axes. Make sure to call these functions before calling the show() method, otherwise your customizations will not be displayed. If we run the script again, this time the axes are annotated. We're also going to add a title to our plot, with the title function. We pass the actual title, 'World Population Projections', as an argument. And there's the title! So, using xlabel, ylabel and title, we can give the reader more information about the data on the plot: now they can at least tell what the plot is about. To put the population growth in perspective, I want to have the y-axis start from zero. You can do this with the yticks() function. The first input is a list, in this example with the numbers zero up to ten, with intervals of 2. If we run this, the plot will change: the curve shifts up. Now it's clear that already in 1950, there were already about 2.5 billion people on this planet. Next, to make it clear we're talking about billions, we can add a second argument to the yticks function, which is a list with the display names of the ticks. This list should have the same length as the first list. The tick 0 gets the name 0, the tick 2 gets the name 2B, the tick 4 gets the name 4B and so on. By the way, B stands for Billions here. If we run this version of the script, the labels will change accordingly, great. Finally, let's add some more historical data to accentuate the population explosion in the last 60 years. On wikipedia, I found the world population data for the years 1800, 1850 and 1900. I can write them in list form and append them to the pop and year lists with the plus sign. If I now run the script once more, three datapoints are added to the graph, giving a more complete picture. Now that's how you turn an average line plot into a visual that has a clear story to tell! Over to you now. Head over to the exercises, gradually customize the world development chart and become the next Hans Rosling!
Views: 19495 DataCamp
Python 3 Programming Tutorial - Matplotlib Styles
 
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In this Python 3 and Matplotlib tutorial video, we cover Matplotlib styles. Matplotlib styles are a lot like css stylesheets, where you set the rules in the sheet and the customization applies to anything that you use the style script with. You can save specific styles for various charts, naming the style whatever you like, and calling it for specific graphs. Sample code for this basics series: http://pythonprogramming.net/beginner-python-programming-tutorials/ Python 3 Programming tutorial Playlist: http://www.youtube.com/watch?v=oVp1vrfL_w4&feature=share&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 21527 sentdex
Advanced Matplotlib
 
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Ryan May Matplotlib is one of the main plotting libraries in use within the scientific Python community. This tutorial covers advanced features of the Matplotlib library, including many recent additions: laying out axes, animation support, Basemap (f
Views: 17155 Next Day Video
Matplotlib Tutorial 16 - Live graphs
 
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In this Matplotlib tutorial, we're going to cover how to create live updating graphs that can update their plots live as the data-source updates. You may want to use this for something like graphing live stock pricing data, or maybe you have a sensor connected to your computer, and you want to display the live sensor data. To do this, we use the animation functionality with Matplotlib. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 141631 sentdex
Matplotlib (Python Plotting) 2: Figure and Axes
 
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On this tutorial, we will cover the basics of Matplotlib's Figure and Axes properties and the use of these properties to build a plotting function. IPython Notebook: https://github.com/snazrul1/PyRevolution/blob/master/matplotlib/Figure%20and%20Axes.ipynb Author: Syed (Sadat) Nazrul
Views: 9243 PyRevolution
Matplotlib the basic about pyplot in Python - Using single and multi plots
 
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I will tell you about how to build your first matplotlib app, i will show you how to change your pyplot title, xlabel and ylabel. i will show you how you can add more charts to the same plot and how you can change marker and line style.
Python Charts - Matplotlib Subplots
 
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In this Python tutorial we will go over several different ways to create subplots with charts, etc. using matplotlib.
Views: 1156 Ryan Noonan
Matplotlib Tutorial 17 - annotations and placing text
 
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In this tutorial, we're going to be talking about how we add text to Matplotlib graphs. We can do this in two ways. One is to just place text to a location on the graph. Another is to specifically annotate a plot on the chart to draw attention to it. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 26715 sentdex
6-How to custom styles in Matplotlib
 
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This tutorial guides you how to apply style to graph. You can customize a style by changing its color hex, background color, etc,... SUBSCRIBE TO CHANNEL: https://www.youtube.com/c/NguyenDucHoang Twitter: https://twitter.com/NguyenD97601913 Facebook: https://www.facebook.com/nguyen.duc.hoang.bk
Views: 50 Nguyen Duc Hoang
Python matplotlib styles
 
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Python matplotlib styles
Views: 188 Frank
Python 3 Programming Tutorial - Matplotlib Graphing Intro
 
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In this Python 3 basics video, we cover the intro of the Matplotlib module. Matplotlib is one of the most, if not the most, popular graphing modules for Python. Here we show how you get it, install it, and put up a basic plot example. Sample code for this basics series: http://pythonprogramming.net/beginner-python-programming-tutorials/ Python 3 Programming tutorial Playlist: http://www.youtube.com/watch?v=oVp1vrfL_w4&feature=share&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 73719 sentdex
Matplotlib Tutorial 12 - more customization of colors and fills
 
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In this tutorial, we're going to cover some more customization, along the lines of colors and fills. Fills allow us to fill between points. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 28251 sentdex
Matplotlib Tutorial 24 - multi y axis plotting volume on stock chart
 
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In this Matplotlib tutorial, we're going to cover how we can have multiple Y axis on the same subplot. In our case, we're interested in plotting stock price and volume on the same graph, and same subplot. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 20778 sentdex
Developing Advanced Plots with Matplotlib : Putting Lines in Place | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2CoEX1Z]. In this video, we will see how we can add lines, grids, and boxes to annotate a plot. • Learn how to add horizontal and vertical lines • Learn how to add boxes • Learn how to add gridlines For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 51 Packt Video
Live Matplotlib Graph in Tkinter Window in Python 3 - Tkinter tutorial Python 3.4 p. 7
 
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Tkinter GUI TutorialPlaylist: http://www.youtube.com/playlist?list=PLQVvvaa0QuDclKx-QpC9wntnURXVJqLyk In this Tkinter tutorial, we take it a step further and show how we can have a live Matplotlib graph within our Tkinter GUI. How to put a matplotlib chart in a tkinter window has actually been one of the more popular requests that I've got, so I am happy to share this with you all finally! http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 43188 sentdex
Python 3 Programming Tutorial - Matplotlib plotting from a CSV
 
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In this Python 3 tutorial, we cover how to plot in Matplotlib from a CSV file. Sample code for this basics series: http://pythonprogramming.net/beginner-python-programming-tutorials/ Python 3 Programming tutorial Playlist: http://www.youtube.com/watch?v=oVp1vrfL_w4&feature=share&list=PLQVvvaa0QuDe8XSftW-RAxdo6OmaeL85M http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 47130 sentdex
python matplotlib - line chart
 
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More on https://pythonspot.com
Views: 423 Frank
Matplotlib Tutorial 3   bar charts and histograms
 
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The plt.bar creates the bar chart for us. If you do not explicitly choose a color, then, despite doing multiple plots, all bars will look the same. This gives us a change to cover a new Matplotlib customization option, however. You can use color to color just about any kind of plot, using colors like g for green, b for blue, r for red, and so on. You can also use hex color codes, like #191970 Next, we can cover histograms. Very much like a bar chart, histograms tend to show distribution by grouping segments together. Examples of this might be age groups, or scores on a test. Rather than showing every single age a group might be, maybe you just show people from 20-25, 25-30... and so on. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 138513 sentdex
Matplotlib  (Python Plotting) 1: Introduction
 
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On this tutorial, we cover Matplotlib's basic Pyplot library to demonstrate the basics of plotting. This includes plotting overlaying plots on a figure and adding title, labels and legends. IPython Notebook: https://github.com/snazrul1/PyRevolution/blob/master/matplotlib/2D%20Plot.ipynb Author: Syed (Sadat) Nazrul
Views: 34372 PyRevolution
5. Plotting Charts with Matplotlib - IPython Notebook Tutorial
 
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Plotting charts with Matplotlib using matplotlib.pyplot. Best practices for creating charts and controlling the line style and color. Adding figure and subplot using plt.figure() and fig.add_subplot(111). Adding markers for your data-points and controlling their style, color and size. Working with chart title using axes. Finally using plt.imshow() to visualize a 2-dimensional array. This shows the array as an image and using color maps to control the visualization. This is open source, Github/NBViwer: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/IPython-Tutorial/5%20-%20Plotting%20Charts.ipynb
Views: 24616 Roshan
How To Embed Matplotlib In PyQt5  (2018)
 
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Source Code https://teachyourselve.blogspot.com/2018/07/how-to-embed-matplotlib-in-pyqt5.html In this video iam going to show you How you can Embed Matplotlib graphs in PyQt5 in 2018 for this video first you need install matplotlib also you need to install pyqt5 with numpy because we are going yo use from these libraries. as you know Matplotlib is a data visualization library that is mostly used in data science and machine learning installations pip install pyqt5 pip install matplotlib pip install numpy Do You Want Learn More In Python Than Watch These Playlists Python Flask SQLAlchemy Basics For Beginners https://www.youtube.com/watch?v=4bIB86LRX7I&list=PL1FgJUcJJ03sUy99OF_g51bx7GqNAIu9k Python Flask CRUD Application Development https://www.youtube.com/watch?v=Pu9XhFJduEw&list=PL1FgJUcJJ03vLZXbAFESDqGKBrDNgi-LG Complete Video Tutorial For PyQt5 Application Development https://www.youtube.com/watch?v=pnpL9Sl79g8&list=PL1FgJUcJJ03uwFW8ys2ov2dffKs3ieGYk Tkinter Application Development Playlist https://www.youtube.com/watch?v=1jn3PH-fA4g&list=PL1FgJUcJJ03sm4WuVCPMbT0RIf2uMmoAj Pyglet Tutorial For Multimedia Applications And Game Development https://www.youtube.com/watch?v=lJQ3UgcDHto&list=PL1FgJUcJJ03s7kYUy40ydTA9gBnj_KDlK Python Opengl Programming With Pyopengl https://www.youtube.com/watch?v=AQ1JPbWgWpc&list=PL1FgJUcJJ03s_nmCAA7F5rv7QDOp-V6kn Developign QtQuick C++ Applications https://www.youtube.com/watch?v=ZkIbxxTbrBs&list=PL1FgJUcJJ03tP9xS-QXOJFH8GqlgiHV4i Python For Data Science Playlist https://www.youtube.com/watch?v=k9A5oxTTLeE&list=PL1FgJUcJJ03vXmv0nUOxJd1TL7C1JBHNV Pyqt5 And Qt Designer Making Rich Text Editor https://www.youtube.com/watch?v=k9A5oxTTLeE&list=PL1FgJUcJJ03vXmv0nUOxJd1TL7C1JBHNV How To Embed Matplotlib In PyQt5 Embedding Matplotlib In PyQt5 embeding matplotlib PyQt5 Graphs making pie chart in PyQt5
Views: 1797 Parwiz Forogh
Plots in Python with Numpy and Matplotlib
 
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Graphs or plots are effective at showing data. This introductory video demonstrates how to create a plot and adjust some of the basic characteristics of those plots such as the size of the trend, style (dashed, dotted, solid), add a legend, title, x label, or y label. See http://apmonitor.com/che263 for additional course material.
Views: 21798 APMonitor.com
7-Draw a Realtime graph in python with Matplotlib
 
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In this tutorial, I will show you how to draw a realtime graph or live plot with matplotlib library of python. Developer can change input data file then the graph will be updated after a very short time period(1000 miliseconds). You can see more at my channel: https://www.youtube.com/c/NguyenDucHoang Twitter: https://twitter.com/NguyenD97601913 Facebook: https://www.facebook.com/nguyen.duc.hoang.bk
Views: 10148 Nguyen Duc Hoang
Matplotlib - Styling your plots
 
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Hello there everyone! Here's an explanation about how to style your plots using matplotlib in Python! Any questions? Just leave them in the comment sections! Find me on: Facebook: https://www.facebook.com/manwhocannotbemoved Instagram: https://www.instagram.com/pragyanbo/ LinkedIn: https://www.linkedin.com/in/pragyanbo/
Views: 59 pragyanbo
3D Plotting in Matplotlib for Python: 3D Scatter Plot
 
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Besides 3D wires, and planes, one of the most popular 3-dimensional graph types is 3D scatter plots. The idea of 3D scatter plots is that you can compare 3 characteristics of a data set instead of two. Sample code: http://pythonprogramming.net/matplotlib-3d-scatterplot-tutorial/ Link to the full playlist: http://www.youtube.com/playlist?list=PLQVvvaa0QuDfpEcGUM6ogsbrlWtqpS5-1 Sentdex.com Facebook.com/sentdex Twitter.com/sentdex How to generate interactive 3d scatterplots in Matplotlib and Python
Views: 71203 sentdex
How To Graph In Python | Infinite Square Well
 
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In this video I go over how to plot the solution to the infinite square well potential in python. Learn how to plot multiple energy states, change the color and line style of the graph, as well as include axes titles and greek letters! Video on how to install python and common libraries: https://www.youtube.com/watch?v=Ju6zw83PoKo&t=85s Brant Carlsons Video on Inf Sq Well: https://www.youtube.com/watch?v=nFHhLJGDNHA&t=819s
Views: 2803 Andrew Dotson
Graph from database table example - SQLite3 with Python 3 part 4
 
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In this tutorial, we're going to show how you can use a select query, and iterate through it, to get data that you can make use of. In this example, we're going to generate a Matplotlib graph Text tutorial and sample code: https://pythonprogramming.net/graphing-from-sqlite-database/ Playlist: https://www.youtube.com/playlist?list=PLQVvvaa0QuDezJh0sC5CqXLKZTSKU1YNo https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 45726 sentdex
How to smooth graph and chart lines in Python and Matplotlib
 
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Full Playlist: http://www.youtube.com/playlist?list=PLQVvvaa0QuDfpEcGUM6ogsbrlWtqpS5-1 Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 22022 sentdex
3D Graphs in Matplotlib for Python: Basic 3D Line
 
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Once you get comfortable with the 2D graphing, you might be interested in learning how to plot three-dimensional charts. 3D graphs add more perspective and comparison to your charts, and just plain look cool! Luckily for us, 3D graphs are pretty easy to learn and program with Matplotlib. Here is some quick and simple, with hard-coded values, for a 3-D matplotlib wire chart. Link to the full playlist: http://www.youtube.com/playlist?list=PLQVvvaa0QuDfpEcGUM6ogsbrlWtqpS5-1 Sample code: http://pythonprogramming.net/3d-graphing-python-matplotlib/ Sentdex.com Facebook.com/sentdex Twitter.com/sentdex How to make a basic 3D line graph with Matplotlib in python
Views: 25010 sentdex
Matplotlib Tutorial 29 - matplotlib 3d intro
 
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Hello and welcome to a 3D graphing in Matplotlib tutorial. Three dimensional graphing in Matplotlib is already built in, so we do not need to download anything more. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 15735 sentdex
Matplotlib Tutorial 5 - stack plots
 
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In this Matplotlib data visualization tutorial, we cover how to create stack plots. The idea of stack plots is to show "parts to the whole" over time. A stack plot is basically like a pie-chart, only over time. Let's consider a situation where we have 24 hours in a day, and we'd like to see how we're spending out time. We'll divide our activities into: Sleeping, eating, working, and playing. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 62444 sentdex
Matplotlib Plotting Tutorials : 021 : Fill colours in line plots
 
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All the programs and examples will be available in this public folder! https://www.dropbox.com/sh/okks00k2xufw9l3/AABkbbrfKetJPPsnfYa5BMSNa?dl=0
Views: 545 Fluidic Colours
Basics of Gnuplot - Make your plot look Good
 
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In this tutorial I explain about the basic commands of gnuplot 1. Plotting mulitple graphs in single plot 2. Labels - xlabel, ylabel 3. range, interval, xtics, ytics 4. grid 5. legend naming 6. line style, line color, line width 7. font style, font color 8. using scripts for plotting Gnuplot tutorial
Views: 3074 Mechanical Modelling
Let's Show #83 - Python Tutorial - Graph Plot Style | pyqtgraph | numpy | PyQt
 
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Python PyQt Graph numpy Tutorial: Plot Graph Style. ↕↕↕↕↕↕↕↕↕↕↕↕↕↕Links↕↕↕↕↕↕↕↕↕↕↕↕↕↕ Amazon-Link: http://amzn.to/1yr6OdD Günstige Spiele: https://www.g2a.com/r/sawmyname Meine Buchempfehlungen: C#: http://amzn.to/1sW4Mdb Python: http://amzn.to/Zc3T9g CSS: http://amzn.to/1uhO4uy JavaScript: http://amzn.to/1mJNy6n Java: http://amzn.to/1pbGv1z Facebook: https://www.facebook.com/pages/Event-Handler/1495860210672727 Pyqtgraph: http://pyqtgraph.org numpy: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy scipy: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy PyQt: http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyqt
Views: 1731 Event Handler
Matplotlib Plot Tutorial: Histograms, Scatter Plots & Legend
 
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Matplotlib makes it easy to create meaningful and insightful plots. In this beginner video you will learn how to build various types of plots such as histograms, scatter plots and line plots. You will also see how to customize them to make them more visually appealing and interpretable. You can do the corresponding exercises https://www.datacamp.com/courses/intermediate-python-for-data-science
Views: 8730 DataCamp
Pygal SVG embedded Graphs - Flask Web Development with Python 33
 
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In this Flask web development tutorial with Python, I am going to be showing you how to incorporate Pygal with your Flask web application. Pygal is a Python module that creates SVG (Scalable Vector Graphics) graphs/charts in a variety of styles. Pygal is highly customize-able, yet also extremely simplistic, which is a very rare combination. You can make line graphs, bar graphs, histograms, pie charts, maps, and a whole lot more. From there you can further customize the look and feel of the graphs. To get started, first you will need to install: pip install pygal Next, let's create a simple line graph. Text-based tutorial and sample code: https://pythonprogramming.net/pygal-tutorial/ http://pythonprogramming.net https://twitter.com/sentdex
Views: 14134 sentdex
Matplotlib Tutorial 25 - customizing Matplotlib Legends
 
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In this Matplotlib tutorial, we're going to be going over custom legends. We've covered the basics of adding a legend already. The main issue with legends is typically that the legend gets in the way of data. There are a few options here. One option is to put the legend outside of the axis, but we have multiple subplots here and that would be pretty difficult. Instead, we'll make the legend a bit smaller, and then apply an alpha to it. First, to have a legend, we need to add labels to our data that we want to show up on the legend. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 11228 sentdex
PLOTCON 2016: Thomas Caswell, Matplotlib 2.0
 
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For the first time in over a decade, matplotlib is changing the default styles. This talk will provide a high-level overview of the changes, the reasoning behind the changes, and the challenges along the way.
Views: 876 Plotly
Matplotlib Tutorial 8 - getting data from the internet
 
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Aside from loading data from the files, another popular source for data is the internet. We can load data from the internet from a variety of ways, but, for us, we're going to just simply read the source code of the website, then use simple splitting to separate the data. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 57784 sentdex
Python Charts - Line Chart with Multiple Lines
 
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In this Python tutorial, we will go over how to create a line chart with multiple lines (using matplotlib pyplot) and go over how to create a legend for the chart (using matplotlib patches).
Views: 571 Ryan Noonan

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