We will use the combination of hue and palette to color the data points in scatter plot. Python, one of the most popular scripting languages, is also one of the most preferred tools for data analysis and visualization. Programming Microsoft Paint If you look at that pic above, you would not believe that it's MS paint, but yes, i plotted these sines, cosines and circle graphs using normal Ms Paint The trick is : control your mouse using Python. For example, the density-contour plots. A dependent Y scale , useful for showing alternate units. ENSO Response Comparison Plots. Visit the installation page to see how you can download the package. I've looked around but nothing I've found has solved my problem yet. logo = None and added labels to. In my next post on this subject, I will introduce live visualization of words using the same method outlined above. eps" gset terminal postscript eps plot(1:10). savefig ("graph. This article deals with plotting line graphs with Matplotlib (a Python's library). swarmplot A categorical scatterplot where the points do not overlap. A save modal will appear, as seen below, where you can specify the filenames and privacy settings for your plot and data grid. Watch Now This tutorial has a related video course created by the Real Python team. pyplot as plt. Mar 15, 2017 · how can we display two plots like pie chart and wordcloud on one window in matplotlib on spyder? 0 print out two or more dataframes in jupyter (python) side by side. To open up separate windows for interactive figures in Spyder go to Spyder menu and set:. ggplot is easy to learn from ggplot import * ggplot(aes(x='date', y='beef'), data=meat) +\ geom_line() +\ stat_smooth(colour='blue', span=0. Boxen plot is widely known as letter-value plots. Pychart is a library for creating EPS, PDF, PNG, and SVG charts. In this tutorial, you learned how to plot data using matplotlib in Python. py and open it in your favorite text editor. create_line() function accepts a list of x, y points that you can create within a for loop. Harmilap Singh has 1 job listed on their profile. - see the wiki for more examples. Welcome to the Python Graph Gallery. Python 3: Plotting simple graphs Bruce Beckles [email protected] When the document is compiled the code will be automatically run and its output included in the document. Basic usage in the context of SciDAVis will be discussed below, but for more in-depth information on the language itself, please refer to its excellent documentation. three-dimensional plots are enabled by importing the mplot3d toolkit. I didn’t have access to Matlab, instead I searched for a solution using Python, and I found one. A contour plot is a graphical technique which portrays a 3-dimensional surface in two dimensions. In this article, we explore practical techniques like histogram facets, density plots, plotting multiple histograms in same plot. Then we plot the data using pg. Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. 1 ContourPlot Definition10(ContourPlot) Atwo-dimensionalplotwhichshowstheone-dimensional curvesonwhichtheplottedquantityq. Plots are a way to visually communicate results with your engineering team, supervisors and customers. Can be used in conjunction with other plots to show each observation. ## numpy is used for creating fake data import numpy as np import matplotlib as mpl ## agg backend is used to create plot as a. The humorous plots in his xkcd webcomic are one of the favorite parts for many readers. Import the libraries and specify the type of the output file. It is built on top of matplotlib, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. Dash User Guide and Documentation. pyplot as pyplot. In our application, we had to display the output of a multichannel ECG (Electro Cardiograph) device. So if there are 10 lists in plot_list, I would like to get 10 plots (wi. data in Business Intelligence , IPython Notebook , Python The report generated by the IPython notebook described in this post (or this Python script ) can be downloaded here. In this post we will see examples of making scatter plots and coloring the data points using Seaborn in Python. Basic plots with matplotlib. Here is an attempt to show how to plot sine and cosine interactively as well as through a script. This makes it easy to take a. Then you might reorder the axes directions, change the parameters and plot ranges, add different colormaps for the interior and outerior, add a point meta, and so on. Here is a Python-seaborn example:. Backends are the lifeblood of Plots, and the diversity between features, approaches, and strengths/weaknesses was one of the primary reasons that I started this package. A save modal will appear, as seen below, where you can specify the filenames and privacy settings for your plot and data grid. Includes comparison with ggplot2 for R. Seaborn is a Python data visualization library based on matplotlib. Saving the Plot. This website displays hundreds of charts, always providing the reproducible python code! It aims to showcase the awesome dataviz possibilities of python and to help you benefit it. It also supports a title, ticks, labeled ticks, grids and a log or linear representation on both the x and y axis, independently. This article deals with plotting line graphs with Matplotlib (a Python's library). Bitcoin Price graph plot with Python program + mysql naveendavisv ( 38 ) in python • 2 years ago (edited) I hope you have gone through the post which I explained about storing the bitcoin price in mysql database using api. This tutorial explains matplotlib's way of making python plot, like scatterplots, bar charts and customize th components like figure, subplots, legend, title. For x axis it takes the default values in the range of 0 to 1, 2 being the length of the list [5, 15]. The backends are device dependent drawing devices, aka renderers,. The goal would be, in other words, to define how a graph (or various kinds of graphs) would be expected to behave (possibly from different perspectives. Sample workbook and code available. In this tutorial, you learned how to plot data using matplotlib in Python. Beginner's Python Tutorial-- Plot graphs using MATPLOTLIB I attended a Python Workshop sometime back at IITK during Fosskriti organized by a dedicated faction called FOSSEE. Chapter4 Contour(Isoline)Plots 4. The simple way, you can draw the plot or graph in MATLAB by using code. What is the best (most aesthetically pleasing) graphing/plotting library for python? The graphs themselves are not complicated, just an exponential and linear function - but they need to look professional. I'm trying to plot a graph with python using the canvas widget, I'm currently sending data in from an arduino sensor sketch. It’s important to science and engineering integrity to use completely open-source resources for HTML plot generation. However, graphs are easily built out of lists and dictionaries. I am trying to figure out if I can plot multiple plots with matplotlib in python. Generate HTML reports with Python, Pandas, and Plotly Published December 22, 2014 October 5, 2015 by modern. Mesh: All pixels are connected in the x- and y-direction. Can be used in conjunction with other plots to show each observation. Few programming languages provide direct support for graphs as a data type, and Python is no exception. From there, we then pack all of this to our tkinter window. Therefore nearly every possible dependency could be shown. 00:36 To start with, let us plot a sine wave from minus 3 pi to 3 pi. It allows to make quality charts in few lines of code. At least, that’s what we’re told. ) can be overlayed on a filled contour or a pcolor plot. Environments: Automatically activate and switch between virtualenv, venv, pipenv, conda and pyenv environments. Generate network graph using Python and matplotlib Combine two figures with/without spines and ticks Remove ticks and spines (box around figure) using Interactive figure with several 1D plot and one ho Interactive figure with several 1D plot and severa Interactive 1D time-scale plot with hovertool usin. Here, I'll demonstrate how to create these animated visualizations using Python and matplotlib. Questions: I want to plot a graph with one logarithmic axis using matplotlib. I want to automate this task as this takes so much of time. 11 hours ago · Wikipedia could be right. Matplotlib is a plotting library that can produce line plots, bar graphs, histograms and many other types of plots using Python. It's important that your graph is able to communicate all of your insights, and sometimes the most important lesson is a nonquantitative one like this. This app works best with JavaScript enabled. pyplot as plt. On some occasions, a 3d scatter plot may be a better data visualization than a 2d plot. Basic usage in the context of SciDAVis will be discussed below, but for more in-depth information on the language itself, please refer to its excellent documentation. Interactive comparison of Python plotting libraries for exploratory data analysis. Python Plotting APIs Examples. This article will take a comprehensive look at using histograms and density plots in Python using the matplotlib and seaborn libraries. Lines: All pixels are connected in the x-direction. As you know, it will start your IPython interpreter with the required python modules for plotting and saving your plots. To build a line plot, first import Matplotlib. Data Science in Python. This makes it easy to take a. download ↓ 1. Reading data from a MySQL database and graphing it in Python is straightforward, and all the tools that you need are free and online. How to make contour plot using Python? I'm using 'ListDensityPlot[]' from MATHEMATICA to do contour plot. You can vote up the examples you like or vote down the ones you don't like. Design your plot leaving nothing to chance!. 1 ContourPlot Definition10(ContourPlot) Atwo-dimensionalplotwhichshowstheone-dimensional curvesonwhichtheplottedquantityq. Publication-quality plot production with matplotlib¶ This document deals with producing production-quality plots from SimPy simulation output using the matplotlib library. Graphs makes it easier to see the relation between a data variable with other. covers the essential Python methods for preparing, cleaning, reformatting, and visualizing your data for use in analytics and data science. Keep in mind the image will be saved as a PNG instead of an interactive graph. Interactive Python Plots. So, I decided to design a simple solution by myself. Simple timeseries plot and candlestick are basic graphs used by technical analyst for identifying the trend. Because of the nonlinear scaling of the axes, a function of the form y = ax b will appear as a straight line on a log-log graph Show Slide 16 Assignment 7 Plot a log-log chart of y=5*x 3 for x. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib. The best way to understand data is often to visualize it through a graph or chart. It supports drawing multiple plot with different colors on the Graph. You now have your very own customized scatter plot, congratulations! Conclusion. I have two functions that produce essentially the same plot, but with different data. A log-log graph or a log-log plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes. Python Matplotlib Tips: Rotate azimuth angle and animate 3d plot_surface using Python and matplotlib. 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. Please tell us what you think! Post your questions and feedback on the LocusZoom Message Board. bode method which turned out to be quite easy to use. function instance to the plot method of the graph. The simplest and most straight forward use case is the generation of plots with default isolines and spacing. The best way to do is to plot graphs. In this article we'll demonstrate that using a few examples. Beginner’s Python Cheat Sheet - Pygal. Mind you, it's one of the libraries for plotting, there are others like matplotlib. Matplotlib can create 3d plots. Most of the stuff. png") graph. Whereas plotly. It provides a high-level interface for drawing attractive statistical graphics. pyplot as pyplot. Next, we will try to implement these concepts to solve a real-life problem using Python. Scatter can be used both for plotting points (makers) or lines, depending on the value of mode. There are various kinds of graphs available: Line, Bar, Chart, Histogram etc. The following are code examples for showing how to use plotly. 00:36 To start with, let us plot a sine wave from minus 3 pi to 3 pi. When you're using Python for data science, you'll most probably will have already used Matplotlib, a 2D plotting library that allows you to create publication-quality figures. Using AxesGridMatplotlib has included the AxesGrid toolkit since v0. Chapter4 Contour(Isoline)Plots 4. I found a way but maybe there's a better one. In the article Machine Learning & Sentiment Analysis: Text Classification using Python & NLTK, I had described about evaluating three different classifiers’ accuracy using different feature sets. 0 The library is completely written in PHP and ready to be used in any PHP scripts (both CGI/APXS/CLI versions of PHP are supported). The simplest and most straight forward use case is the generation of plots with default isolines and spacing. When making plots using Python, usually the plots need a few enhancements before they reach the quality level that we call "publication-quality". Before we go into examples, it will be best for us to understand further the object hierarchy of Matplotlib plots. トップページ > フーリエ変換入門(FFT入門) > Pythonでグラフ描画:matplotlib(6). Here, we will show you the basics of generating plots using Python3 and matplotlib. publication-quality graphs. The following tutorial details some of the common data plotting functions within Python. To create 3d plots, we need to import axes3d. Here is an example of Basic plots with matplotlib:. From there, we plot as usual some x coordinates and some y. 11 hours ago · Wikipedia could be right. Scatter can be used both for plotting points (makers) or lines, depending on the value of mode. It is built on top of matplotlib, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. I ultimately hope these articles will help people stop reaching for Excel every time they need to slice and dice some files. graph_objs as …. It is intended for use in mathematics / scientific / engineering applications. So basically you won't always be plotting graphs straight up from a Python IDLE by typing in that data. In this article, I. Siga o Programando Ciência. Please tell us what you think! Post your questions and feedback on the LocusZoom Message Board. Scatter¶ If Plotly Express does not provide a good starting point, it is possible to use the more generic go. Autocorrelation plots graph autocorrelations of time series data for different lags. The right side of the figure shows the result of this operation. How to plot an equation in Excel using Python. I’m a big fan of the Python programming language, so naturally I wanted to try it out. 0 release, some three-dimensional plotting utilities were built on top of Matplotlib's two-dimensional display, and the result is a convenient (if somewhat limited) set of tools for three-dimensional data visualization. js , plotly. To display a plot. For step-by-step instructions to create this and other example plots see the Online Manual. Python, program, code, to load data from csv file from given url, and extract the parameters, plot the graph, using pandas, python library, APDaga, DumpBox, IoT, Internet of things, Akshay Daga, Python: Reading a CSV file from a given URL and plotting its graph using pandas library - APDaga DumpBox : The Thirst for Learning. In R, there are two functions to create Q-Q plots: qqnorm and qqplot. Python is a wonderful high-level programming language that lets us quickly capture data, perform calculations, and even make simple drawings, such as graphs. First create a graph which will function as a "canvas" for the plots. Bokeh is an interactive Python data visualization library which targets modern web browsers for presentation. I needed a nice way to visualize this as a function of the. 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. This means that whenever we want to visualise a graph, we have to find a mapping from vertices to coordinates in two- or three-dimensional space first, preferably in a way that is pleasing for the eye. トップページ > フーリエ変換入門(FFT入門) > Pythonでグラフ描画:matplotlib(6). The signals packages supports the signal. Matplotlib was initially designed with only two-dimensional plotting in mind. Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a. This lesson of the Python Tutorial for Data Analysis covers plotting histograms and box plots with pandas. xlabel() and. I know that it’s probably something simple like ‘scale=linear’ in the plot arguments, but I can’t seem to get it right Sample program: from pylab import * import matplotlib. Quiver plots are useful in Electrical Engineering to visualize electrical potential and useful in Mechanical Engineering to show stress gradients. Most plot-level properties are particular to a chart type. Keep in mind the image will be saved as a PNG instead of an interactive graph. Two graphs in one plot: plot(x1,y1) MATLAB/Octave Python Description; plot(1:10) print -depsc2 foo. They even have a plotly package for Python (among. Let's do another plot and this time look at all of the Max Temperature forecasts 2 days out, and plot them with respect to Latitude. Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Finally, we add the toolbar, which is the traditional matplotlib tool bar. This post assumes you are using version 3. When we come on to plot different types of graph exactly the same approach will apply to them as to multiple simple curves. Welcome the R graph gallery, a collection of charts made with the R programming language. Refactoring: Restructure your Python code with variable extraction, method extraction and import sorting. The following are code examples for showing how to use plotly. Veusz is multiplatform, running on Windows, Linux/Unix and macOS. I want to automate this task as this takes so much of time. Feel free to suggest a chart or report a bug; any feedback is highly welcome. read an Excel table and name it as 'hsif' in pandas 2. It graphically depicts the ratios of the three variables as positions in an equilateral triangle. If you have questions or get stuck, email [email protected] …So we'll say. It uses close price of HDFCBANK for last 24 months to plot normal graph … Continue reading "How to plot simple and Candlestick chart using Python. While gnuplot is serviceable and matplotlib is a popular choice for Python developers, I wanted to use Python for plotting some simple graphs (matplotlib had some issues installing on my system, wi. render (). The following tutorial details some of the common data plotting functions within Python. To do so, we need to provide a discretization (grid) of the values along the x-axis, and evaluate the function on each x. One of the useful things this allows you to do is include "inset" figures which are often used to show greater detail of a region of the enclosing plot, as in this example (the graph is of the variation of the heat capacity of tantalum with temperature). Python 3: Plotting simple graphs. Then we delve deep into using Matplotlib, a Python 2D plotting library. 1 Line plots The basic syntax for creating line plots is plt. We start with importing pyqtgraph and defing the plotting data (x and y). If you look at the following listing of our class, you can see in the __init__-method that we use a dictionary "self. There are many types of files, and many ways you may extract data from a file to graph it. In this post, we will build three quiver plots using Python, matplotlib, numpy, and Jupyter notebooks. A detailed explanation about various other packages are also available in the networkx documentation. The humorous plots in his xkcd webcomic are one of the favorite parts for many readers. Boxen plot is widely known as letter-value plots. The canvas. Plotly's Python graphing library makes interactive, publication-quality graphs. Bar ()(1, 3, 3, 7)(1, 6, 6, 4). The HTML/Javascript interface connects with the websocket and plots the values in real time. I am having a hard time implementing a method that computes Fourier transform coefficients for the complex form using the trapezoid rule. Labeling ticks with rotated text, fixing position of the legend, plaxing a text in the figure, non integer ticks range¶. There are various kinds of graphs available: Line, Bar, Chart, Histogram etc. Quiver plots are useful in electrical engineering to visualize electrical potential and valuable in mechanical engineering to show stress gradients. bode method which turned out to be quite easy to use. png") graph. Of course, arrays are not the only thing that you pass to your plotting functions; There’s also the possibility to, for example, pass Python lists. Mind you, it’s one of the libraries for plotting, there are others like matplotlib. The histogram plots are similarly simple. covers the essential Python methods for preparing, cleaning, reformatting, and visualizing your data for use in analytics and data science. arange(10) ax1 = plt. Here I'll share some of the knowledge I gained in a series of three posts. Next, save the plot by clicking on the save button, which is the disk icon located on the bottom toolbar. The simplest and most straight forward use case is the generation of plots with default isolines and spacing. My python program spits lot of data. To date we have plotted a single curve in our graphs. Look at the image below - Consider that this graph represents the places in a city that people generally visit, and the path that was followed by a visitor of that city. Matplotlib is a is a plotting library for the Python programming language. In this article, we show how to plot a graph with matplotlib from data from a CSV file using the CSV module in Python. offline import plot, iplot import plotly. The semi-log and log-log plots are largely self-explanatory. Related course: Create GUI Apps with PyQt5; pyqtgraph plot. And coloring scatter plots by the group/categorical variable will greatly enhance the scatter plot. I know that it’s probably something simple like ‘scale=linear’ in the plot arguments, but I can’t seem to get it right Sample program: from pylab import * import matplotlib. It supports drawing multiple plot with different colors on the Graph. Installing Python 3. While python has a vast array of plotting libraries, the more hands-on approach of it necessitates some intervention to replicate R's plot(), which creates a group of diagnostic plots (residual, qq, scale-location, leverage) to assess model performance when applied to a fitted linear regression model. Pychart is a library for creating EPS, PDF, PNG, and SVG charts. figure (). She helps to provide you with a working understanding of machine learning, as well as outlier analysis, cluster analysis, and network analysis. Since we are dealing in Python, it provides a very good library for plotting cool graphs. The graph at the right is a typical curve, called a blackbody curve. covers the essential Python methods for preparing, cleaning, reformatting, and visualizing your data for use in analytics and data science. How to Plot a Graph with Matplotlib from Data from a CSV File using the CSV Module in Python. It supports drawing multiple plot with different colors on the Graph. Simple timeseries plot and candlestick are basic graphs used by technical analyst for identifying the trend. Fortunately, it's pretty easy to add a text and attention and get some background. In this example, a plot with curves having common y-axis but different x-axis is demonstrated using twiny() method. Next, save the plot by clicking on the save button, which is the disk icon located on the bottom toolbar. NEW Introducing Helix— the first instant, responsive data engine. What is the best (most aesthetically pleasing) graphing/plotting library for python? The graphs themselves are not complicated, just an exponential and linear function - but they need to look professional. I didn't have access to Matlab, instead I searched for a solution using Python, and I found one. Gnuplot is distributed with a large set of demonstration scripts. NumPy arrays. We will also look at labeling different components of our graphs and adding a legend. Plotly's Python graphing library makes interactive, publication-quality graphs. Python Plotting Tutorial w/ Matplotlib & Pandas (Line Graph. Now we will plot a graph in which we take data and apply the multiplication of 3 and 5 and see their changes. There are two major considerations when writing analysis results out to a database: I only want to insert new records into the database, and, I don't want to offload this processing job to the database server because it's cheaper to do on a worker node. Python, one of the most popular scripting languages, is also one of the most preferred tools for data analysis and visualization. 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. In this example, a plot with curves having common y-axis but different x-axis is demonstrated using twiny() method. plot (range (100)) fig. The signals packages supports the signal. This tutorial explains matplotlib's way of making python plot, like scatterplots, bar charts and customize th components like figure, subplots, legend, title. Create a graph object, assemble the graph by adding nodes and edges, and retrieve its DOT source code string. We will start with a single graph. hist() function creates histogram plots. org or mail your article to [email protected] It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more. exe — Binary installer for 32-bit Windows, built using python. NEW Introducing Helix— the first instant, responsive data engine. One of my tips was to use the Python shell, so that one can quickly test simple commands before integrating them in a more complicated project. If you are using the Python shell you will need to call plt. I have discussed about multiple types of plots in python matplotlib such as bar plot, scatter plot, pie plot, area plot etc. This app works best with JavaScript enabled. While python has a vast array of plotting libraries, the more hands-on approach of it necessitates some intervention to replicate R’s plot(), which creates a group of diagnostic plots (residual, qq, scale-location, leverage) to assess model performance when applied to a fitted linear regression model. Welcome the R graph gallery, a collection of charts made with the R programming language. 1 Line plots The basic syntax for creating line plots is plt. Make 2D & 3D Graphs in Python with Matplotlib for Beginners! is suitable for coding beginners because we begin with a complete introduction to coding. Recently, I was going through a video from SciPy 2015 conference, “Building Python Data Apps with Blaze and Bokeh“, recently held at Austin, Texas, USA. マーカーを設定する マーカーを変える. I’ve been reading the docs, but can’t figure out the syntax. Visualizing data using Matplotlib. Reading data from a MySQL database and graphing it in Python is straightforward, and all the tools that you need are free and online. When the document is compiled the code will be automatically run and its output included in the document. Luckily, Python and pandas provide some super helpful utilities for making this easier. Simple timeseries plot and candlestick are basic graphs used by technical analyst for identifying the trend. How to Plot a Graph with Matplotlib from Data from a CSV File using the CSV Module in Python. It contains several examples which will give you hands-on experience in generating plots in python. enable_mixed_precision_graph_rewrite( opt, loss_scale='dynamic' ) Mixed precision is the use of both float16 and float32 when training a model, and is used to make the model run faster. Now as we know of it Python never had any good Visualization library. Free available software for the creation of RPs and their quantitative analysis facilitates the spread of their application (no requirement on completeness):. When we come on to plot different types of graph exactly the same approach will apply to them as to multiple simple curves. 1 Line plots The basic syntax for creating line plots is plt. The rstride and cstride kwargs set the stride used to sample the input data to generate the graph. bode method which turned out to be quite easy to use. create_line() function to draw a line plot of a mathematical function. I'll be starting with the simplest kind of figure: a line plot, with points plotted on an X-Y Cartesian plane. Saving, showing, clearing, … your plots : show the plot, save one or more figures to, for example, pdf files, clear the axes, clear the figure or close the plot, etc. = 1, n = 300, and there are sqrt(n) bins Create a line plot of your choosing How to plot graphs in Python. This is an abstract interface that knows nothing about output. add_subplot (111) ax. Then we plot the data using pg. For those who haven't had the pleasure of hacking on 15 different plotting APIs: First, consider yourself lucky. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more. Jake VanderPlas is a long-time user and developer of the Python scientific stack. This post assumes you are using version 3. She helps to provide you with a working understanding of machine learning, as well as outlier analysis, cluster analysis, and network analysis. In detail, we will learn how to use the Seaborn methods scatterplot, regplot, lmplot, and pairplot to create scatter plots in Python. We will need to pick out from forecast_dict all the Max T values for all of the weather stations made 2 days before April 22, 2014. Feel free to suggest a chart or report a bug; any feedback is highly welcome.