python - density - matplotlib scatter plot color by category . A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. Right? It shows the relationship between two sets of data, The data often contains multiple categorical variables and you may want to draw scatter plot with all the categories together, The coloring of each category in the scatter plot is important to visualize the relationship among different categories, In this post we will see how to color code the categories in a scatter plot using matplotlib and seaborn. Let us change the color of our plot line to be Yellow while the triangles to be Red with a green border. 0:55. For example c = '0.1' Then you can convert your third variable in a value inside this range and to use it to color … Line Graph. Seaborn has a scatter plot that shows relationship between x and y can be shown for different subsets of the data using the hue, size, and style parameters. Code faster with the Kite plugin for your code editor, featuring Line-of-Code Completions and cloudless processing. So with that, I will end this article now. Pie Chart . Related course: Data Visualization with Matplotlib and Python; Line chart example The example below will create a line chart. sin (t) # Create a set of line segments so that we can color them individually # This creates the points as a N x 1 x 2 array so that we can stack points # together easily to get the segments. Let me explain! Use mplfinance styles for general customizations applied to many plots, for example: colors (candle colors, moving average colors, background, grid and figure colors) grid style; y-axis on the right or left; matplotlib defaults They are: color or c – So by using a color or c keyword in our plot( ) function, we can set the line color of a plot. Controlling the colour, thickness and style (solid, dashed, dotted etc) of the lines. Plot Scatter with Individual Tags. Matplotlib has a module named pyplot which provides a MATLAB-like interface. Plot Lines with different Marker Sizes. Matplotlib API provides the bar() function that can be used in the MATLAB style use as well as object oriented API. import matplotlib.pyplot as plt %matplotlib inline # Plot plt.plot([1,2,3,4,10]) #> [] I just gave a list of numbers to plt.plot() and it drew a line chart automatically. For the final step, you may use the template below in order to plot the Line chart in Python: import matplotlib.pyplot as plt plt.plot(xAxis,yAxis) plt.title('title name') plt.xlabel('xAxis name') plt.ylabel('yAxis name') plt.show() Here … So we have to overlap plots of different colors. The post #196 describes how to pick up a single color when working with python and matplotlib. A line plot is basically used to plot the relationship between two numerical sets of values. Bar Chart with Group Data. So that is all there is to set different line color and marker color in Matplotlib. This function provides an interface to many of the possible ways you can generate colors in seaborn. We will set the fit_reg parameter to False because we don’t want to estimate and plot a regression model relating the x and y variables, We will loop over pandas grouped object(df.groupby) and create individual scatters and manually assign colors. Scatter Plot. For that one must be familiar with the given concepts: Matplotlib: Matplotlib is a tremendous visualization library in Python for 2D plots of arrays. Right? plt.plot(x,y,linewidth=5,color='magenta',linestyle='-.') markerfacecolor – By using this keyword, we can tell Matplotlib what color to use for the face of our marker. It is do-nothing function. The following code shows how to create a scatterplot using the variable z to color the markers based on category: import matplotlib.pyplot as plt groups = df. Can be either categorical or numeric, although color mapping will behave differently in latter case. This parameter find the best place for the legend i.e. groupby ('z') for name, group in groups: plt. The problem is that it is really hard to read, and thus provide few insight about the data. There is no consideration made for background color, so some colormaps will produce lines that are not easily visible. Adjust Axis Limits. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Right? For integrating plots into applications, Matplotlib provides an API. Matplotlib.pyplot.colors() This function is used to specify the color. And it did work as we wanted. The hue parameter is used for Grouping variable that will produce points with different colors. For that you can choose from two different approaches: Pick the colors yourself using tools like Adobe Kuler’s color wheel; Use Python's color maps #1 Defining your own color palette. We can change the color of our line by using our plot… Scatter plot are useful to analyze the data typically along two axis for a set of data. It return a list of colors defining a color palette. Correct? Matplotlib Bar Chart. In matplotlib, you can plot a line chart using pyplot’s plot() function. A line plot is the simplest of all the Matplotlib plots. The second plot that we are going to plot is a line plot. Colors. It is quite similar to the … To change the color of a scatter point in matplotlib, there is the option "c" in the function scatter. What better way than to use our previous plot and to change it’s color? It then iterates over these groups, plotting for each one. They are: color or c – So by using a color or c keyword in our plot( ) function, we can set the line color of a plot. markeredgecolor – By using this keyword, we will tell Matplotlib what color to use to draw the edges of our marker. The code examples and results presented in this tutorial have been implemented in a Jupyter Notebook with a python (version 3.8.3) kernel having matplotlib … Matplotlib is a Python module that lets you plot all kinds of charts. Matplotlib scatter has a parameter c which allows an array-like or a list of colors. Other elements of plot such as labels, legend, ticks are put on the axes. The data often contains multiple categorical variables and you may want to draw scatter plot with all the categories together. Working with Legends. So now that we know what to use, let us next see how we can use it. Line Graph. Your email address will not be published. Histograms. For the final step, you may use the template below in order to plot the Line chart in Python: import matplotlib.pyplot as plt plt.plot(xAxis,yAxis) plt.title('title name') plt.xlabel('xAxis name') plt.ylabel('yAxis name') plt.show() Here is how the code would look like for our example: Bar charts is one of the type of charts it can be plot. Bar charts can be made with matplotlib. For example, colors can show additional categories beyond the ones represented by the bars themselves, they can draw attention to a particuallarly important data point, or they can simply add more visual distinction. Bar Chart. The value is a matplotlib.lines.Line2D object which is how matplotlib stores lines. What type of values can we pass to specify a color to the plot() function? Related course: Data Visualization with Matplotlib and Python; Line chart example The example below will create a line chart. Related Videos . Matplotlib has as simple notation to set the colour, line style and marker style using a coded text string, for example "r--" creates a red, dashed line. In this blog, you will learn how to draw a matplotlib line plot with different style and format.. So let us do just that! linspace (0, 10, 200) x = np. matplotlib, Scatter plot are useful to analyze the data typically along two axis for a set of data. When the markers are small, only the line is visible, not the fill, and the line isn't the right colour (it's always black). Take a look at the code for yourself! We start with plotting line graphs in python using matplotlib. But if you have any doubt about it, do let me know in the comment below. Examples: how to make a line chart plot in matplotlib. You can hide this information from the output by adding plt.show() as the last line you call in your plot code. So what is the problem we are trying to solve here? Line Graph with Marker. Pie Chart. Line 18 and 19 add x and y label to curves. # Standard imports import matplotlib.pyplot as plt import numpy as np # Import 3D Axes from mpl_toolkits.mplot3d import axes3d # Set up Figure and 3D Axes fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Create space of numbers for cos and sin to be applied to theta … This list lets you choose what visualization to show for what situation using python’s matplotlib and seaborn library. Matplotlib's color map styles are divided into various categories… While we can just plot a line, we are not limited to that. Since we have the day category we can also try identifying each dot in our plot with a different color. Different Color Parameter Values Accepted By The Plot Function. Matplotlib recognizes the following formats to specify a color: an RGB or RGBA (red, green, blue, alpha) tuple of float values in [0, 1] (e.g., (0.1, 0.2, 0.5) or (0.1, 0.2, 0.5, 0.3) ); a hex RGB or RGBA string (e.g., '#0f0f0f' or '#0f0f0f80' ; case-insensitive); Kite is a free autocomplete for Python developers. In matplotlib, you can plot a line chart using pyplot’s plot() function. These parameters control what visual semantics are used to identify the different subsets. Scatter Plot. Matplotlib Scatter Plot. The coordinates of the points or line nodes are given by x, y.. A one-line version of this excellent answer to plot the line of best fit is: plt.plot(np.unique(x), np.poly1d(np.polyfit(x, y, 1))(np.unique(x))) Using np.unique(x) instead of x handles the case where x isn't sorted or has duplicate values. This is well documented here.… Read more. Colors. Scatter plot¶ Scatter plots are similar to simple plots and often use to show the correlation between … Well you see, Matplotlib gives us a lot of keywords to use when plotting. Note that the output displays the object type as well as the unique identifier (or the memory location) for the figure. Line plots can be created in Python with Matplotlib's pyplot library. We will have a series of articles dedicated to matplotlib in which we are going to learn about data visualization in python using matplotlib. Different Themes. Axes: The area that we plot the data on. Using different colors in a Matplotlib bar plot is a powerful technique for adding emphasis to a visualization. Now, we create two unique lines with different styles. Simple Scatter plot. However, you can use the color argument of the pyplot hist function to alter the color. Well, to do that we will need to use certain keywords in the plot( ) function! Background Grid. Finally, line 21 adds the grid-lines to the plot. This code assumes the same DataFrame as above and then groups it based on color. Line Graph. So this will be a follow up on that article. Here are some ways you can tweak it. The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle. Pie Chart. So there are special keys for setting line color as well as marker color! This section briefly explains some plot types in matplotlib. Draw a line plot with possibility of several semantic groupings. Well you see, we want to have a plot with lines connecting markers. Since we have the day category we can also try identifying each dot in our plot with a different color. So what is the code change we did to get this? In line 11, label=’sin’ is added which is displayed by ‘legend’ command in line 15. So what was the code we used to generate this plot? Change line & point colors in Matplotlib plot, How to plot multiple lines using Matplotlib, How To Set line Color To Be Different From Point Color In Matplotlib. Yes, you read that right. Scatter plot uses Cartesian coordinates to display values for two variable … Matplotlib Line Plot. You can use ax.plot to add a line plot to your figure. As matplotlib does not directly support colormaps for line-based plots, the colors are selected based on an even spacing determined by the number of columns in the DataFrame. Right? We can represent a two-dimensional array in color by using the function pcolormesh() even if the dimensions are unevenly spaced. It is like a container that we put other components that constitute a plot. You just need to use the right keyword and it will work like a charm! plot (group.x, group.y, marker=' o ', linestyle='', markersize=12, label=name) plt. A Bar plot uses bars to compare data among different categories. In Python we can plot graphs for visualization using Matplotlib library. So what’s matplotlib? You can plot bar plot as It also supports additional parameters that give more … But how do these keywords look like? So how do we go about fixing that? We can explicitly define the grid, the x and y axis scale and labels, title and display options. Your email address will not be published. Basic Pie Chart. Customizing Markers, line-style and color of a plot in Matplotlib Python. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. For example, colors can show additional categories beyond the ones represented by the bars themselves, they can draw attention to a particuallarly important data point, or they can simply add more visual distinction. Alright? Alright? Line Plots Line Plots. Step 4: Plot a Line chart in Python using Matplotlib. Using the plt.plot method type the points or lines that you want to plot. You can use the .fill_between() method, which is a function that takes two sets of y-values and then fills the area between those sets with a color of your choice. python - value - matplotlib scatter plot color by category . You can choose to plot data points using lines, or markers, or both. Now that we’ve gone over a few of the important parameters of the plt.plot function, let’s look at some concrete examples of how to use the plt.plot function. Line Graph. Alright? Often you may want to plot a smooth curve in Matplotlib for a line chart. It is a standard convention to import Matplotlib's pyplot library as plt.The plt alias will be familiar to other Python programmers.. How can I make a scatter plot colored by density in matplotlib? Now, let me show you how to handle multiple plots. markeredgecolor – By using this keyword, we will tell Matplotlib what color to use to draw the edges of our marker. It assumed the values of the X-axis to start from zero going up to as many items in the data. Area Plot Using Matplotlib. Border for Wedges. It shows the relationship between two sets of data. But what is missing here? Determining the x coordinates using linspace function. #matplotlib #python #pythonprojects #aipython #matplotlibpyplot #datavisualization #datascience #data #jupyternotebook #jupyter #notebook #dataanalytics @matplotart @python.on.jupyter @_data_analytics. Here’s an example of the power of 3D line plots utilizing all the info above. We now have total control over the colors we can use in our plots, right? A plot consists of two main components: Figure: Figure is what holds everything together. Format Python matplotlib Histogram Colors. Adding markers. (2) In addition to hist2d or hexbin as @askewchan suggested, you can use the same method that the accepted answer in the question you linked to uses. So then what keyword do we need to use? pyplot.fill_between(x-values, y-lower, y-upper, alpha=0.2) We can do pretty much anything on a matplotlib plot. These parameters control what visual semantics are used to identify the different subsets. Matplotlib 3D Plot Line Plot. To select a color I’ve created a colors dictionary which can map the Continent color (for instance North America) to a real color (for instance red). Let me explain. Bar Chart. Matplotlib allows us to map certain categories (in this case, species) to specific colors; We can apply this formatting to a scatterplot ; One other important concept to understand is that matplotlib includes a number of color map styles by default. Code faster with the Kite plugin for your code editor, featuring Line-of-Code Completions and cloudless processing. This post aims to describe a few color palette that are provided, and thus make your life easier when plotting several color. I have discussed about multiple types of plots in python matplotlib such as bar plot, scatter plot, pie plot, area plot etc. The call to poly1d is an alternative to writing out m*x + b like in this other excellent answer. Customizing Markers, line-style and color of a plot in Matplotlib Python. You can skip this intermediate step if you wish. Line Plot. It takes 2 parameters i.e. Matplotlib is a python library that allows you to create interactive visualizations, be it static or animated, 2-D, 3-D or polar. You can choose to plot data points using lines, or markers, or both. But if have seen my earlier article, I showed you how we can set colors to markers. Alternatively, we can also use lmplot function that combines regplot() and FacetGrid. Line charts are great to show trends in data by plotting data points connected with a line. Draw/plot a line graph in python using matplotlib Data visualization and interpretation are very important to understand the data and its property. I will be more than happy to help! Scatter Plot with Marker Size. Yan Holtz. You can create all kinds of variations that change in color, position, orientation and much more. Output : Bar Plot. In this article, we will learn how to to set different line color and marker color in Matplotlib plot. It is intended as a convenient interface to fit regression models across conditional subsets of a dataset. A line chart can be created using the Matplotlib plot() function. dots - matplotlib scatter plot color by category . To build a line plot, first import Matplotlib. It represents each data sample as polyline connecting parallel lines where each parallel line represents an … A Spaghetti plot is a line plot with many lines displayed together. Great! Bar Graph using matplotlib. Right? Matplotlib Scatter Plot Color by Category in Python. That is nice, right? Make your lines your own. Prerequisite: Matplotlib . Similarly, the contour() function does the same job. The Matplotlib’s plot() function supports 3 different types of parameter values: 1. #matplotlib #python #pythonprojects #aipython #matplotlibpyplot #datavisualization #datascience #data #jupyternotebook #jupyter #notebook #dataanalytics @matplotart @python.on.jupyter @_data_analytics Scatter plot. In this section we will see how to style line plots. A bar graph shows comparisons among discrete categories. The pyplot.plot() or plt.plot() is a method of matplotlib pyplot module use to plot the line.. Syntax: plt. And more importantly, how can we add lines with different colors? Making decisions from raw data is really difficult especially in machine learning, deep learning, accuracy comparison, etc. With this, we come to the end of this tutorial. Any guess? You can modify this plot by changing the line width, color, by using parameter like linewidth, color, linestyle. Since changing a line’s color is such a basic requirement that Matplotlib has included it as part of the plot() function itself! The following code shows how to create a scatterplot using the variable z to First we need to set up. That is the key to solving this problem! Unique Continents in our data set, Colormap instances are used to convert data values (floats) from the interval [0, 1] to the RGBA color that the respective Colormap represents, With this scatter plot we can visualize the different dimension of the data: the x,y location corresponds to Population and Area, the size of point is related to the total population and color is related to particular continent, Multicolor and multifeature scatter plots like this can be useful for both exploration and presentation of data. Name of Palette and Number of colors in the palette, And then map this color palette with the Color Labels i.e. This list helps you to choose what visualization to show for what type of problem using python's matplotlib … A line plot is a simple 2D line in the graph. There are three keywords we can use to set the color of a line and the marker. So how can we do that? Label Count; 0.00 - 3455.84: 3,889: 3455.84 - 6911.68: 2,188: 6911.68 - 10367.52: 1,473: 10367.52 - 13823.36: 1,863: 13823.36 - 17279.20: 1,097: 17279.20 - 20735.04 First simple example that combine two scatter plots with different colors: How to create a scatter plot with several colors in matplotlib ? Turn on the Axes of the Pie Chart. Lineplot #123 Highlight a line in line plot. Line charts are great to show trends in data by plotting data points connected with a line. To use the cubehelix colormap, we can pass colormap='cubehelix'. The charts are grouped based on the 7 different purposes of your visualization objective. Well, you can see that there are no lines drawn. You can also specify a different color for each bar by passing the respective colors as a sequence to the color parameter. pi * t) y = np. How to Plot Parallel Coordinates Plot in Python [Matplotlib & Plotly]?¶ Parallel coordinates charts are commonly used to visualize and analyze high dimensional multivariate data. Line Plots. Scatter plot with different colors Scatter plot which created by matplotlib, cannot specify colors in terms of category variable’s value. In : np. Woah! Line Graph . Line Graph. The relationship between x and y can be shown for different subsets of the data using the hue, size, and style parameters. It's a shortcut string notation described in the Notes section below. It counts the observation in each categorical bins using bars. Save Plot to Image File. If using a Jupyter notebook, include the line %matplotlib inline after the imports. the place where it does not touch the plotted curve. In : df = pd. So how will our plot then look like? A line chart can be created using the Matplotlib plot() function. This is how it looked like, right? import matplotlib matplotlib.use("agg") import matplotlib.pyplot as plt import numpy as np So there is a tiny little change we have done to get this working. As said earlier, we simply used the keywords to set the color like we want. There are three keywords we can use to set the color of a line and the marker. Occasionally you'll want a plot to show something other than a single solid thin blue line. For that you can choose from two different approaches: Pick the colors yourself using tools like Adobe Kuler’s color wheel; Use Python's color maps #1 Defining your own color palette The area plots were also called as stack plots. Line Graph. Predefined color set. import numpy as np import matplotlib.pyplot as plt from matplotlib.collections import LineCollection t = np. For more on plotting bar chart with matplotlib’s bar() function refer to its documentation. T = np option `` c '' in the Notes section below to... Great to show something other than a single solid thin blue line basically... Adding emphasis to a visualization and color of a plot with lines connecting markers bar. Are great to show something other than a single solid thin blue.... Spaghetti plot is a convenient way for defining basic formatting like color, and... Well, you can change line color as well as marker color in it several color you plot all of! Python using matplotlib the grid-lines to the plot function are many ways by which can... It shows the specific categories being compared, and improve your experience on the.... A measured value plotting several color be Yellow while the triangles to be Yellow while triangles. Components that constitute a plot in matplotlib for a set of data Jupyter notebook include. Lineplot # 123 Highlight a line graph in Python using matplotlib data visualization and interpretation are very important to the! The Notes section below … line plots palette and Number of colors defining a color palette with the plugin. Change it ’ s color plot the data often contains multiple categorical variables and you may want have... Plot in matplotlib % matplotlib inline after the imports this list lets you plot all kinds of charts can! Function does the same job shortcut string notation described in the data the! The pyplot.plot ( ) function that combines regplot ( ) function that combines regplot ( ) function can. Plots can be plot are special keys for setting line color as well as the unique identifier or! Step 4: plot a line chart using pyplot ’ s plot ( ) you choose. Called as stack plots measured value our services, analyze web traffic, and thus make life. Matplotlib provides an interface to many of the Top 50 matplotlib plots most useful in data analysis visualization! Holds everything together colors we can change the color parameter values Accepted by the plot a that., 3-D or polar by passing the respective colors as a convenient way for defining formatting! An array-like or a list of colors defining a color palette with the color of marker. What visual semantics are used to plot the data often contains multiple variables... The problem we are not limited to that connected with a green.! The graph the problem we are going to plot is a Python that! Let us next see how we can tell matplotlib what color to for. Cookies on Kaggle to deliver our services, analyze web traffic, and thus provide few insight about data. Better way than to use subsets of a scatter point in matplotlib, scatter plot with connecting. Is optional parameter in line plot with many lines displayed together are put on the site article, can. And FacetGrid use in our plots, right or lines that are not limited that. We add lines with different colors provides an API the dimensions are unevenly spaced is displayed by legend! Plots of different colors after the imports the possible ways you can find more Python tutorials.! Of different colors plot the relationship between two numerical sets of values object type as well as the unique (... Then map this color palette with the Kite plugin for your code editor, featuring Line-of-Code Completions and cloudless.. Created in Python using matplotlib code shows how to draw the edges of our plot line to be Yellow the. For integrating plots into applications, matplotlib gives us a lot of keywords to use let! Parameter in line 11, label= ’ sin ’ is added which displayed... Is no consideration made for background color, by using our plot… colors z ' for. You just need to use the color of a scatter plot uses bars to compare data among different categories thickness. Matplotlib plots importantly, how can I make a scatter point in,! The triangles to be Red with a different color various categories… area plot using matplotlib data visualization and interpretation very! Pyplot module use to plot a line plot with possibility of several semantic groupings ) this function provides interface! Bar charts is one of the possible ways you can change line color and marker in! Chart shows the specific categories being compared, and the other axis represents a measured.! Web traffic, and thus provide few insight about the data using the matplotlib plot important. Container that we want different line color as well as object oriented API us the. It then iterates over these groups, plotting for each one combines regplot ( ) function of...., I will end this article we will need to use the color argument of triangle! Provides a MATLAB-like interface diamond or other shape that marks a data point and more importantly how. One or more, Python matplotlib will automatically assign the default colors to the histogram two axis a. Named pyplot which provides a MATLAB-like interface, thickness and style ( solid, dashed, dotted )..., marker= ' o ', linestyle= '', markersize=12, label=name plt... That lets you choose what visualization to show something other than a single thin... Pass to specify the color of a scatter point in matplotlib, there no. Analyze the data using the plt.plot method type the points or lines that you want to draw the of. Inline after the imports categorical bins using bars that will produce points with different styles plots! That constitute a plot y label to curves with this, we can pretty! Code shows how to create a scatterplot using the function scatter bins using bars plt! Plot ( ) function that combines regplot ( ) and FacetGrid constitute a plot consists of two main:... Following code shows how to make a scatter plot colored by density in with! Matplotlib with Python just need to use, let me show you how to draw the edges our. Have the day category we can use ax.plot to add a line in line plot function... A tiny little change we have the day category we can change line and... Keyword, we will need to use certain keywords in the function scatter plots! Created using the matplotlib ’ s plot ( ) even if the dimensions unevenly... It, do let me show you how to make a scatter plot with many lines together. The matplotlib plot like a charm be Yellow while the triangles to be Red a... As object oriented API created in Python we can use in our plots, right,! Such as labels, title and display options just need to use when plotting code we used to data. Have seen my earlier article, we come to the plot function did to get this.... Plots can be created using the matplotlib plots most useful in data analysis and visualization you plot all kinds variations... Useful to analyze the data on bar ( ) you can find more Python tutorials.... X = np ’ s matplotlib and Python ; line chart can be using. The x and y axis scale and labels be familiar to other Python programmers much more like a!... Will learn how to change the line % matplotlib inline after the imports defining a color use. What better way than to use certain keywords in the graph nodes are by. Line nodes are given by x, y by x, y visualization using matplotlib library are used to the... So we have done to get this Number of colors ; line chart can be either categorical numeric... Two scatter plots with different colors your visualization objective Jupyter notebook, include the line width of scatter. Of the type of charts problem we are trying to solve here right keyword and it will like! Bar graph shows comparisons among discrete categories in data analysis and visualization: data visualization interpretation! Example below will create a line plot with a line plot with colors... Line width, color, position, orientation and much more function that can be either or! We come to the end of this tutorial connecting markers chart example the example will... These groups, plotting for each one matplotlib line plot color by category data analysis and visualization each categorical bins using bars a. How we can use in our plot with a different color parameter different types of parameter values 1. Displays the object type as well as the unique identifier ( or the memory location ) for figure. ( `` agg '' ) import matplotlib.pyplot as plt from matplotlib.collections import LineCollection t = np values Accepted by plot. With this, we can just plot a line and the marker has a parameter c which allows array-like. Writing out m * x + b like in this blog, you can generate colors in a bar! 2D line in the plot ( ) is a line plot with lines connecting markers are 3! Memory location ) for the figure uses Cartesian coordinates to display values for two variable … line plots you modify... The area that we will see how we can use to set different line color and marker color in,. To plot is a powerful technique for adding emphasis to a visualization Python library that allows you to a! To solve here you may want to plot data points connected with a different.. Show you how we can also try identifying each dot in our,! The categories together, size, and thus provide few insight about the data and its property map your colors... What was the code we used to plot the line width of a scatter plot are useful to analyze data! T = np that combine two scatter plots with different colors: how to handle multiple plots it will like.