Pair plots are a great method to identify trends for follow-up analysis and, fortunately, are easily implemented in Python! In this article we will walk through getting up and running with pairs plots in Python using the seaborn visualization library. In this Python tutorial, we will learn about Python Time Series Analysis. This is great if you are plotting a large number of panels and want to dump them onto separate pages of a PDF document, say. If the pin isn’t connected to anything, digitalRead() can return either HIGH or LOW (and this can change randomly). On this tutorial, we cover the basics of 3D line, scatter, wire frames, surface and contour plots. MCNP® and Monte Carlo N-Particle® are registered trademarks owned by Triad National Security, LLC, manager and operator of Los Alamos National Laboratory. The mesh is the most important part of the program. Scatter function from plotly. Luckily, Python and pandas provide some super helpful utilities for making this easier. A plot of the number of neutrons versus the number of protons for all of the stable naturally occurring isotopes is shown in the figure below. Matplotlib is a plotting library that can help researchers to visualize their data in many different ways including line plots, histograms, bar charts, pie charts, scatter plots, stream plots, simple 3-D plots, etc. Visualise multiple forms of 2D and 3D graphs; line graphs, scatter plots, bar charts, etc. csv file from the internet and we are going to do a simple plot to show the information. The Qwt library contains GUI Components and utility classes which are primarily useful for programs with a technical background. Create a list of y points. Sign Up & Configure http://www. Microsoft Store. I am trying to plot a contour map with the following data I have in 3 columns one for the date and time (T) one for the temperature - T1 last one with the temperature - T2 I am intending to make a. Plotting; Subplots; Images; Python. One can plot Ellipses using the matplotlib. MatPlotLib Tutorial. I am using matplotlib to create the plots. Libraries for computer vision. @davidphysdavalos the quiver (vector field) and streamplot examples have been added. There are two methods – one uses tables within the worksheet while the other uses only. Welcome to Microsoft Support Welcome to Microsoft Support What do you need help with? Windows. Discover Scilab Cloud. First, we will start with the basic plotting of simple data and thereafter look at the plotting of data with errors. The Python Shapefile Library (PSL) provides read and write support for the ESRI Shapefile format. Suitable for web as well as desktop applications. Now, the term “open a file” can mean different things depending on the context. optimize and a wrapper for scipy. Moreover, we will see how to plot the Python Time Series in different forms like the line graph, Python histogram, density plot, autocorrelation plot, and lag plot. Previous: Write a Python program to draw line charts of the financial data of Alphabet Inc. If either is 0 the input data in not sampled along this direction producing a 3D line plot rather than a wireframe plot. What I really wanted to do was to have a Python script where I could just write out my equation, and have Python plot it. It can be used to plot any function. 5), including features such as IntelliSense, linting, debugging, code navigation, code formatting, Jupyter notebook support, refactoring, variable explorer, test explorer, snippets, and more!. ion() / matplotlib. render (). Data Visualization with Python Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. All objects are initially created un lled with a black outline. From x and y form a matrix of z values. The Java versions were written by Joel Castellanos in collaboration with John C. Beside a framework for 2D plots it provides scales, sliders, dials, compasses, thermometers, wheels and knobs to control or display values, arrays, or ranges of type double. This post shows you how. A Q-Q plot stands for a "quantile-quantile plot". It’s designed from the ground up for Android, compatible with Android 1. Python scripting for 3D plotting The simple scripting API to Mayavi Gallery and examples Example gallery of visualizations, with the Python code that generates them Welcome, this is the user guide for Mayavi, a application and library for interactive scientific data visualization and 3D plotting in Python. The below plot shows how the line of best fit differs amongst various groups in the data. But NumPy adds a ton of visual possibilities with mathematical functionality. Lillian explains how to create web-based data visualizations with Plot. DateFormatter(). Think now of a Python list. A graph of the number of neutrons versus the number of protons for all stable naturally occurring nuclei. The rstride and cstride kwargs set the stride used to sample the input data to generate the graph. It is also possible to plot 2-dimensional plots using a TextBackend if you don’t have matplotlib. import matplotlib. Most of the stuff. I want to generate the lines, which I get from an array in 3D. I've installed the necessary dependencies, to my knowledge (note, for both Python 2 and Python 3):. Learning to work with SciPy ¶ To learn more about the Python language, the official Python tutorial is an excellent way to become familiar with the Python syntax and objects. plot(train_Z) plt. This 3D widget defines a region of interest that is represented by an arbitrarily oriented hexahedron with interior face angles of 90 degrees (orthogonal faces). IPython Notebook: https://github. pyplot as plt import numpy as np fig = plt. This representation is used in OpenCV). At <1 ms per page, the average site builds in less than a second. News about the dynamic, interpreted, interactive, object-oriented, extensible programming language Python. There are many options for doing 3D plots in python, here I will explain some of the more comon using Matplotlib. It started as your python code above but it has been reworked to be more pythonic. A histogram is a type of bar plot that shows the frequency or number of values compared to a set of value ranges. We’ll plot: values for K on the horizontal axis; the distortion on the Y axis (the values calculated with the cost. Group Bar Plot In MatPlotLib. Line Plot with go. Machine Learning A-Z™: Hands-On Python & R In Data Science; Determine optimal k. It allows us to create figures and plots, and makes it very easy to produce static raster or vector files without the need for any GUIs. csv file from the internet and we are going to do a simple plot to show the information. Line customization is possible for a wide range of plot types. After 500 views plot. pyplot as plt MATLAB-like API The easiest way to get started with plotting using matplotlib is often to use the MATLAB-like API provided by matplotlib. This time, I'm going to focus on how you can make beautiful data visualizations in Python with matplotlib. Python Forums on Bytes. Linear Regression using Pandas (Python) November 11, 2014 August 27, 2015 John Stamford General So linear regression seem to be a nice place to start which should lead nicely on to logistic regression. The last line contains some LaTex, which integrates nicely with Matplotlib. Matlab will be the best option according to me. If you want to explore other types of plots such as scatter plot or bar chart, you may read Visualizing 3D plots in Matplotlib 2. Sample Solution: Python Code: import matplotlib. If you are using a conda package, you can use run command bokeh-server from any directory using command. Now that matplotlib is installed, we can import it in Python. all Geoscience Australia material on this website is licensed under the Creative Commons Attribution 3. In this way, the local change from point to point can be seen. Everyone loves graphs. Graphic programs with an intuitive user interface, such as Microsoft Excel, have allowed millions of people to use computers without learning how to program, but they add enough features over time that the user interface becomes so complex that it is not intuitive anymore. It expects a stream of text, where the first line is the name of the data source and each subsequent line contains a space-separated x-y pair of floating point numbers in the series to be plotted. GINI index (World Bank estimate) World Bank, Development Research Group. Users who have such applications in mind should contact John C. Readers can download the entire seaborn Python code plus the excel file using the download button provided below and create their own custom heatmaps. It works quite well and produces non-ugly graphs. Render isosurfaces. The ability to take counts and visualize them graphically using frequency plots (histograms) enables the analyst to easily recognize patterns and relationships within the data. Python scripting for 3D plotting The simple scripting API to Mayavi Gallery and examples Example gallery of visualizations, with the Python code that generates them Welcome, this is the user guide for Mayavi, a application and library for interactive scientific data visualization and 3D plotting in Python. I've installed the necessary dependencies, to my knowledge (note, for both Python 2 and Python 3):. The Python Shapefile Library (PSL) provides read and write support for the ESRI Shapefile format. Solution: If you try to plot a collection of lines segments in Matplotlib using sequential calls to plot, it can take a lot of time to generate the graph. 1 day 2 days 5 days 10 days ---------- 1 month 2 months 3 months 6 months YTD 1 year 2 years 3 years 4 years 5 years 1 decade All Data Basic Chart Advanced Chart. That's why I prefer method 2: calling plot() separately for each line: plt. Moreover, we will see how to plot the Python Time Series in different forms like the line graph, Python histogram, density plot, autocorrelation plot, and lag plot. While we can just plot a line, we are not limited to that. Python Fire is a library for automatically generating command-line interfaces from absolutely any Python object. hist() function creates histogram plots. Often times, we need to overlay colors on segments of a time-series or other line-plot. x 2, you write it as x**2. This article will take you through the key differences to consider when choosing on whether to work in Python 2 or Python 3 for your development projects. Let's bring one more Python package into the mix. Plotting Graphs + Bestfit lines. ggplot is a plotting system for Python based on R's ggplot2 and the Grammar of Graphics. But is Python’s fame coming at the expense of R? Yes, according to some folks in the IT industry, who say R is a dying language. By: Luke 0; 0. SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. PyYAML Documentation; LibYAML is a YAML parser and emitter written in C. The column designation for the three columns is already set as XYZ so you could directly create a 3D scatter plot. Matplotlib also able to create simple plots with just a few commands and along with limited 3D graphic. Plot Graphs of Trigonometric Functions using Python Pylab, Python with NumPy, SciPy and matplotlib aims to provide a viable alternative to Matlab. python-modernize - Modernizes Python code for eventual Python 3 migration. How to Plot Polygons In Python. In this article, we will spend a few minutes learning how to use this interesting package. Line 2: Inputs the array to the variable named values Line 3: Plots the line chart with values and choses the x axis range from 1 to 11. So with matplotlib, the heart of it is to create a figure. Drawing a Contour Plot using Python and Matplotlib: Create a list of x points. It’s name is PyPlot. NetLogo is a multi-agent programmable modeling environment. Download the Python Heatmap Code. To allocate memory of a given structure type and work with it, we need to create variables. Matplotlib did have some* support in previous versions, but have pulled the support on 3D plotting for now. Welcome to Microsoft Support Welcome to Microsoft Support What do you need help with? Windows. for the derivative of a sufficiently smooth function that decays sufficiently quickly (Kanwal 1998). In this tutorial, you will learn how to plot y=mx+b in Python with Matplotlib. 0295 and we also have the lower and the upper bound aka the intervals of our x intercept value. Kst contains many powerful built-in features and is expandable with plugins and extensions (see developer information in the "Resources" section). Figure) can be thought of as a single container that contains all the objects representing axes, graphics, text, and labels. We’re glad you’re here. You may be wondering why the x-axis ranges from 0-3 and the y-axis from 1-4. ly, write in the comments below, or tweet to @plotlygraphs. Introduction to Python: An open resource for students and teachers. What's modern about waiting for your site to build? Hugo is the fastest tool of its kind. Fun Better way to chose numbers of x and y ticklabels Arrange multiple images in one large image using P Draw electric field lines without Mayavi; Plot on an image using Python Matplotlib. 0) Access the Git source-code repository The standalone python links point to a package containing a binary executable that you can simply download, unpack, and run to create visualizations using VTK’s python interface. RStudio is a set of integrated tools designed to help you be more productive with R. There are several plotting packages available for Python, the most commonly used one being matplotlib. If my text runs past this line, I know I need to do some formatting to make it span multiple lines (if I’m just writing text, I will use M-q to wrap it). Create quiver plots (like scatter, but with an arrow pointing in a particular direction). 3D graphs add more perspective and comparison to your charts, and just. are released independently of the Cygwin DLL, so the Cygwin DLL version is not useful as a general Cygwin release number. Libraries for migrating from Python 2 to 3. If you want to understand how two variables change with respect to each other, the line of best fit is the way to go. A plot_regression_lines() function was defined as a global method. Simple Tkinter strip chart (Python 3) Python, 131 lines. pyplot module and display the plot. We will see how to create a default pairs plot for a rapid examination of our data and how to. McCadden Place. 3-dimensional plot in Python?. Group Bar Plot In MatPlotLib. First, let's create the script that we'll be working with in this tutorial: scatter. In this post you will discover exactly how you can visualize your machine learning data in Python using Pandas. Plotting data like measurement results is probably the most used method of plotting in gnuplot. This alone may be more than enough. It’s easy to add clean, stylish, and flexible dropdowns, buttons, and sliders to Plotly charts. In this post we will learn how to read and write JSON files using Python. This string should appear in the form that you want the dates to appear when presented in the plot. There are various kinds of graphs available: Line, Bar, Chart, Histogram etc. Hair color is also a categorical variable having a number of categories (blonde, brown, brunette, red, etc. Additionally, you will demonstrate the procedure of composite charts, by overlaying a scatter plot of record breaking data for a given year. It provides a high-level interface for drawing attractive and informative statistical graphics. Introduction to Python: An open resource for students and teachers. PyGObject is a Python package which provides bindings for GObject based libraries such as GTK, GStreamer, WebKitGTK, GLib, GIO and many more. set_picker (5) # 5 pts tolerance lined [legline] = origline # blank line. Back to Excel Tutorials. A surface plot is a two-dimensional projection of a three-dimensional object. Bresenham's Line Algorithm is a way of drawing a line segment onto a square grid. scatter3D functions. The triangle OAB is a right triangle and hence x 2 + y 2 = s 2. Choose a theme from our selection of plot generators. Plotting Examples¶. Line plot is the most basic plot in Matplotlib. It’s easy to add clean, stylish, and flexible dropdowns, buttons, and sliders to Plotly charts. plot3D and ax. Matplotlib also able to create simple plots with just a few commands and along with limited 3D graphic. You appear to be on a device with a "narrow" screen width (i. In python matplotlib we can create unusual ways to create simple graphs and plots, here we can change the color and width of graph line or grid lines where we want to style. Cone Plots in Plotly with Python. From there, you can embed your plots in a web page. com +1 646 527 9732 By Appointment Only. Next: Write a Python program to plot two or more lines with legends, different widths and colors. Time Series Analysis in Python with statsmodels Wes McKinney1 Josef Perktold2 Skipper Seabold3 1Department of Statistical Science Duke University 2Department of Economics University of North Carolina at Chapel Hill 3Department of Economics American University 10th Python in Science Conference, 13 July 2011. A histogram is a type of bar plot that shows the frequency or number of values compared to a set of value ranges. Take a look at the following script:. Note that the underlying computational libraries have different interperetations for this parameter: statsmodels uses it directly, but scipy treats it as a scaling factor for the standard deviation of the data. If you are interested in a list of all the functions exposed in mlab, see the MLab reference. However, plotting is not a part of core Python but is provided through one of several possible library modules. If you have a large batch of addresses for which you need coordinates, GPS Visualizer's Multiple Address Locator is the solution. Below are several hand-coded implementations in various languages. LEARNING WITH Lillian explains how to create web-based data visualizations with Plot. At <1 ms per page, the average site builds in less than a second. How to Change the Line Width of a Graph Plot in Matplotlib with Python. You should check it out. This python Scatter plot tutorial also includes the steps to create scatter plot by groups in which scatter plot is created for different groups. We can also draw a "Line of Best Fit" (also called a "Trend Line") on our scatter plot: Try to have the line as close as possible to all points, and as many points above the line as. It also supports 3d animations, albeit somewhat inefficiently, so you can show a 4th, temporal dimension if need be. Append empty lists to a list and add elements. Scatter function from plotly. It is especially useful for roguelikes due to their cellular nature. In this post you will discover exactly how you can visualize your machine learning data in Python using Pandas. The dimension of the graph increases as your features increases. In Part 1, you learn how to use Python, a popular coding language used for websites like YouTube and Instagram. If you have Scientific Python distributions installed fire up a Jupyter notebook and paste code below in a cell. Let's plot line plot for the cube function. plot3D and ax. GTK is licensed under the GNU LGPL 2. Plaid Link, our front-end module, is easy to drop into what you're building, and its user-friendly design is optimized for conversion. The following are code examples for showing how to use matplotlib. Step 3: Seaborn's plotting functions. If you are doing calculations prior to plotting, and these take a while to get carried out, it is a good idea to separate the computational part of scripts from the plotting part (i. com/snazrul1/PyRevolution. A good data visualization can turn data into a compelling story, which interpret the numbers into understandable figures. Create a list of y points. Here's a short function that can be used to generate such line segments of multiple colors using matplotlib in python. 0) Access the Git source-code repository The standalone python links point to a package containing a binary executable that you can simply download, unpack, and run to create visualizations using VTK’s python interface. Agg works fine. So for now I have turned off the plot below and you’ll have to imagine it! This post created in RStudio using knitr. Here graphs of numerous mathematical functions can be drawn, including their derivatives and integrals. Our initial version of ggplot for python. Realtime Data Plotting in Python May 8, 2013 Scott Leave a comment General , Python WARNING: this project is largely outdated, and some of the modules are no longer supported by modern distributions of Python. UCSF Chimera is a highly extensible program for interactive visualization and analysis of molecular structures and related data, including density maps, supramolecular assemblies, sequence alignments, docking results, trajectories, and conformational ensembles. The best way to do is to plot graphs. Everyone loves graphs. Introduction R package plot3D provides functions for plotting 2-D and 3-D data, and that are either extensions of R's perspfunction or of R's imageand contourfunction. Clicking on categories and packages in the setup*. Seaborn Categorical Plots in Python. Linear Regression using Pandas (Python) November 11, 2014 August 27, 2015 John Stamford General So linear regression seem to be a nice place to start which should lead nicely on to logistic regression. get_lines (), lines): legline. (Numpy is a numerical Python package that is commonly included in Python distributions, e. This section covers the basics of how to install Python packages. It combines an abstraction of the PostScript drawing model with a TeX/LaTeX interface. It prints 1 line every 50ms and the following python tkinter script plots this. It’s important to note that the term “package” in this context is being used as a synonym for a distribution (i. You can use files to save the information from the computation routine, and then read this in to a plotting program. As I noted above, before we can do any plotting, we need to unpack the data. Manhattan plots are another staple of the bioinformatics world, but they weren't easy to make interactive in R or Python before Plotly and Sahir's Manhattanly R package. Any third party use of such registered marks should be properly attributed to Triad National Security, LLC, including the use of the ® designation as appropriate. 3D Line Plots with Chart Studio. Pychart is a library for creating EPS, PDF, PNG, and SVG charts. The last line contains some LaTex, which integrates nicely with Matplotlib. Hence the x data are [0,1,2,3]. plot() is a method of matplotlib pyplot module use to plot the line. Luckily, Python and pandas provide some super helpful utilities for making this easier. They are extracted from open source Python projects. • Instead of loading up python at the command line with python use ipython instead. Area plots are pretty much similar to the line plot. This scale is chosen in order to linearize the resulting plot for Weibull data. (These instructions are geared to GnuPG and Unix command-line users. Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways. In python, you can do this easily (look at the "scatter plots" section on the web link). Another complimentary package that is based on this data visualization library is Seaborn , which provides a high-level interface to draw statistical graphics. Time series lends itself naturally to visualization. This form allows you to geocode an large number of addresses using the geocoding API service from Bing Maps, Google, or MapQuest. 6 Ways to Plot Your Time Series Data with Python. Unicode Basics ¶ To process text effectively in Python 3, it’s necessary to learn at least a tiny amount about Unicode and text encodings:. In this post we will learn how to read and write JSON files using Python. UCSF Chimera is a highly extensible program for interactive visualization and analysis of molecular structures and related data, including density maps, supramolecular assemblies, sequence alignments, docking results, trajectories, and conformational ensembles. More than a decade old, it is the most widely-used library for plotting in the Python community. ioff() which have the advantages of working outside of IPython as well. (Note: not the most robust method, but it works well enough) Materials: - Arduino (I’m using an Uno) - Computer (I have a Dell, but it shouldn’t reall. Next, let us understand area plot or you can also say Stack plot using python matplotlib. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace. If you want to explore other types of plots such as scatter plot or bar chart, you may read Visualizing 3D plots in Matplotlib 2. The following scatter plots show examples of data that are not homoscedastic (i. It then adds some amplifying information about the plot and displays it onscreen. 7 Plotly Graphs in 3D: Stocks, Cats, and Lakes. It is especially useful for roguelikes due to their cellular nature. Here, I’ll demonstrate how to create these animated visualizations using Python and matplotlib. • Instead of loading up python at the command line with python use ipython instead. Instead it is intended for getting you started with this amazing tool. plot can also, conveniently, take numpy arrays as its arguments. In this post, we will learn how make a scatter plot using Python and the package Seaborn. A stem plot separates the digits in data points to form two columns. I want to generate the lines, which I get from an array in 3D. Histograms are a useful type of statistics plot for engineers. Take a look at the first five rows. As an example, here is an implementation of the classic quicksort algorithm in Python:. Solution: If you try to plot a collection of lines segments in Matplotlib using sequential calls to plot, it can take a lot of time to generate the graph. The main extensions to these functions are:. In this article, we show how to plot a graph with matplotlib from data from a CSV file using the CSV module in Python. Scatter can be used both for plotting points (makers) or lines, depending on the value of mode. Seaborn Categorical Plots in Python. The master branch is now building and running using the grammar for Python 3. pyplot as plt MATLAB-like API The easiest way to get started with plotting using matplotlib is often to use the MATLAB-like API provided by matplotlib. See the "Line Collection" and "3D Surf Plot" examples for how I cite. Create a 3-D contour plot. Line plots of observations over time are popular, but there is a suite of other plots that you can use to learn more about your problem. Scatter function from plotly. The stride arguments are only used by default if in the ‘classic’ mode. The triangle OAB is a right triangle and hence x 2 + y 2 = s 2. Scatter plot with linear regression line of best fit. Users who have such applications in mind should contact John C. (Numpy is a numerical Python package that is commonly included in Python distributions, e. We use the set command and specify the border line width and two line styles with the number 1 and 2. Contour Plot: Contour Plot is like a 3D surface plot, where the 3rd dimension (Z) gets plotted as constant slices (contour) on a 2 Dimensional surface. Python Plotly Tutorial, Plotly example, install plotly library, plotly simple line graph example, plotly Scatter Plot, Plotly Box Plot, Plotly Contour plot, Plotly Time Series Plot, Plotly OHLC Chart, Plotly plotting example. Hence the x data are [0,1,2,3]. Plotly 3d charts were recently showcased in Nature for the 3Disease Browser project. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute. Introduction. Once you get the hang of the basics, you are able to learn from online. Beside a framework for 2D plots it provides scales, sliders, dials, compasses, thermometers, wheels and knobs to control or display values, arrays, or ranges of type double. 7+ , Python 3. plot for the list of colors and shapes. pyplot as plt %matplotlib inline # Plot plt. For math, science, nutrition, history. Like leastsq, curve_fit internally uses a Levenburg-Marquardt gradient method (greedy algorithm) to minimise the objective function. The result is a pretty simple 3D plot, but I haven't found a python package that will let me make a plot like this. Graphics #120 and #121 show you how to create a basic line chart and how to apply basic customization. Plotting in Scilab www. RStudio is a set of integrated tools designed to help you be more productive with R. The last variation of the scatter plot that we're going to look at when you have multiple quantitative variables, is the 3D scatter plot. There are several plotting packages available for Python, the most commonly used one being matplotlib. How to add jitter to a plot using Python's matplotlib and seaborn In this blog post, we'll cover how to add jitter to a plot using Python's seaborn and matplotlib visualization libraries. Most of the stuff. Ellipse function, but this is not ideal because if we do not choose to set our aspect ratio to 'equal', the ellipse is "frozen" into the image and does not scale with the x and y axes, which is problematic (try it yourself). i'm new to python. This posts explains how to make a line chart with several lines. Pair plots are a great method to identify trends for follow-up analysis and, fortunately, are easily implemented in Python! In this article we will walk through getting up and running with pairs plots in Python using the seaborn visualization library. 6" and one "37. The main extensions to these functions are:. Machine Learning Deep Learning Python Statistics Scala PostgreSQL Command Line Regular Expressions Mathematics AWS Computer Science. It works basically like the plotting of functions. Experimental support for compilation and injection of C++ source code into the inferior (requires GCC 7. The scale argument is the plot area height in pixels (e. pyplot as plt plt. The docstring dictionary will be written to the Python script filename. Matplotlib is a plotting library that can help researchers to visualize their data in many different ways including line plots, histograms, bar charts, pie charts, scatter plots, stream plots, simple 3-D plots, etc. So with matplotlib, the heart of it is to create a figure. pip and virtualenv, which come packaged with Python 3, to install and isolate the Flask, Bokeh, and pandas libraries from any other Python projects you might be working on; If you need help getting your development environment configured before running this code, take a look at this guide for setting up Python 3 and Flask on Ubuntu 16. Plotly is a platform for data analysis, graphing, and collaboration. This is an example of how to make a simple plot in python, using data stored in a. 1 allowing development of both free and proprietary software with GTK without any license fees or royalties. a container of modules). It holds the result value now. Will it continue to do so?. Line plots of observations over time are popular, but there is a suite of other plots that you can use to learn more about your problem. Online JSON Formatter and Online JSON Validator also provides tools to convert JSON to XML, JSON to CSV, JSON Editor , JSONLint and JSON Checker.