How To Do Reverse Order For Scatter Plot In Mac Numbers

  



  1. How To Do Reverse Order For Scatter Plot In Mac Numbers Online
  2. How To Do Reverse Order For Scatter Plot In Mac Numbers Using
  3. How To Do Reverse Order For Scatter Plot In Mac Numbers List
  4. How To Do Reverse Order For Scatter Plot In Mac Numbers Free

Add scatter and bubble charts in Numbers on Mac. To create any type of chart, you can add a chart to a sheet first, then select the table cells with the data you want to use. Or, you can select the data first, then create a chart that displays the data. Either way, when you change the data in. Python Data Types Python Numbers Python Casting Python. Getting Started Mean Median Mode Standard Deviation Percentile Data Distribution Normal Data Distribution Scatter Plot Linear Regression Polynomial Regression Multiple Regression Scale Train. The reverse method reverses the sorting order of the elements.

A scatter plot is a very versatile chart type and can be used to create all kinds of charts outside of the 19 chart types that Datawrapper offers. If you're not familiar with scatter plots, we suggest you first have a quick look at 'How to create a scatter plot' and some examples of Datawrapper scatter plots.

In this article, you'll learn how to create a vertical timeline using Datawrapper scatter plot.

Index

  1. Axis
  2. Categorizing markers
  3. Adding annotations

Auto shutdown genius 3.0.1 license key download. Here's the chart we'll be creating:

It's a timeline of the 2020 US election. Vertical timelines are great to display on narrower screen sizes like on mobile screens. (If you're interested in horizontal timelines, take a look at an example here.)

To create a timeline like this one, there are a couple of things you have to bear in mind:

1. Axis

Creating an additional column and give every row an x value

We want the date as the y-axis and all markers displayed on one vertical line. To do this, we can plot them on a vertical line of x = n (n can be any constant). Let's say we'll plot them on x = 1 in this example chart. We need to add an extra column to our dataset (let's call it 'Horizontal Axis' for now) and give all rows the same value of 1:

* If you want multiple timelines, all you need to do is to give those rows a different x value to plot them on a different vertical line.

Now in step 3: Visualize, under the Refine tab, select this additional column as your Horizontal axis, and Date as your Vertical axis.

Displaying events in chronological order by reversing the y-axis

You'll notice that the dates are in descending order instead of in ascending order. Since we want to display the events in chronological order from the top, we need to reverse the y-axis. To do this, simply enter the custom range in reverse order (newest date as min, oldest date as max):

Another thing you'll notice is that the horizontal axis labels are turned on by default and displaying numbers.

Turn off the axes

Free

By default, Datawrapper will display the axes - but we don't want those random x-values to be displayed on the horizontal axis.

To remove the axes and the labels, select 'off' for the axis Position.

Also, choose 'off' for Grid if you want to hide all labels and lines:

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(In the example chart, we only turned the Grid 'off' for the horizontal axis and we kept the Grid 'on' for the vertical axis)

Now, our timeline no longer has unnecessary lines and labels, but there's something still missing. The vertical timeline:

We can add a vertical timeline by drawing a line on x=1. This can be done from Annotate tab > Add custom lines and areas menu:

If you're not familiar with this feature, you can take a look at our academy article 'Scatterplots: Add custom lines and areas'.

s2. Categorizing markers

Displaying different markers - circles, stars, and more

How To Do Reverse Order For Scatter Plot In Mac Numbers Online

To display circles and stars (and other different types of markers), go to the Shape panel and you can simply select 'variable' for Shape and click the event names multiple times to switch shapes:

Color-coding markers

You can also color-code them by creating an additional column in your original dataset and giving them a category:

Then from the Color panel, you can select that column to categorize the markers according to event type and give each a color:

How To Do Reverse Order For Scatter Plot In Mac Numbers Using

3. Adding annotations

Creating annotation lines

This can be done from Annotate tab > Add custom lines and areas panel:

You can draw a horizontal line just like you drew the vertical timeline at the very beginning of this article. You can even give them a specific width and color too. This way, they are responsive - meaning the lines will adapt its length according to the screen size. Here are the lines you drew:

Making annotation texts responsive

You can add text annotations from Annotate tab > the Add custom text to plot panel. To learn how to create text annotations, take a look at our academy article 'How to create text annotations.'

If you want to align all annotations perfectly, you can just copy & paste the x value from one annotation to all the other ones:

The lines are automatically responsive, but what about the texts?

You can simply create two versions of annotations: fewer line breaks for desktop and more line breaks for mobile. To create a line break, you can either press the return key and make an indentation or add a <br> tag. Then select either 'SHOW ON MOBILE' or 'SHOW ON DESKTOP':

Now your text annotations are responsive!

Desktop Mobile

That's it! You can also make the timeline horizontal, add multiple timelines next to one another and customize the annotations!

A scatter plot of y vs x with varying marker size and/or color.

Parameters:
x, y:array_like, shape (n, )

The data positions.

s:scalar or array_like, shape (n, ), optional

The marker size in points**2.Default is rcParams['lines.markersize']**2.

c:color, sequence, or sequence of color, optional

The marker color. Possible values:

  • A single color format string.
  • A sequence of color specifications of length n.
  • A sequence of n numbers to be mapped to colors using cmap andnorm.
  • A 2-D array in which the rows are RGB or RGBA.

Note that c should not be a single numeric RGB or RGBA sequencebecause that is indistinguishable from an array of values to becolormapped. If you want to specify the same RGB or RGBA value forall points, use a 2-D array with a single row. Otherwise, value-matching will have precedence in case of a size matching with xand y.

Defaults to None. In that case the marker color is determinedby the value of color, facecolor or facecolors. In casethose are not specified or None, the marker color is determinedby the next color of the Axes' current 'shape and fill' colorcycle. This cycle defaults to rcParams['axes.prop_cycle']=cycler('color',['#1f77b4','#ff7f0e','#2ca02c','#d62728','#9467bd','#8c564b','#e377c2','#7f7f7f','#bcbd22','#17becf']).

marker:MarkerStyle, optional

The marker style. marker can be either an instance of the classor the text shorthand for a particular marker.Defaults to None, in which case it takes the value ofrcParams['scatter.marker']='o' = 'o'.See markers for more information about marker styles.

cmap:Colormap, optional, default: None

A Colormap instance or registered colormap name. cmap is onlyused if c is an array of floats. If None, defaults to rcimage.cmap.

norm:Normalize, optional, default: None

A Normalize instance is used to scale luminance data to 0, 1.norm is only used if c is an array of floats. If None, usethe default colors.Normalize.

vmin, vmax:scalar, optional, default: None

vmin and vmax are used in conjunction with norm to normalizeluminance data. If None, the respective min and max of the colorarray is used. vmin and vmax are ignored if you pass a norminstance.

alpha:scalar, optional, default: None

The alpha blending value, between 0 (transparent) and 1 (opaque).

linewidths:scalar or array_like, optional, default: None

The linewidth of the marker edges. Note: The default edgecolorsis 'face'. You may want to change this as well.If None, defaults to rcParams lines.linewidth.

edgecolors:{'face', 'none', None} or color or sequence of color, optional.

The edge color of the marker. Possible values:

  • 'face': The edge color will always be the same as the face color.
  • 'none': No patch boundary will be drawn.
  • A Matplotlib color or sequence of color.

Defaults to None, in which case it takes the value ofrcParams['scatter.edgecolors']='face' = 'face'.

For non-filled markers, the edgecolors kwarg is ignored andforced to 'face' internally.

plotnonfinite:boolean, optional, default: False

Set to plot points with nonfinite c, in conjunction withset_bad.

Returns:
paths:PathCollection
Other Parameters:
**kwargs:Collection properties

See also

How To Do Reverse Order For Scatter Plot In Mac Numbers List

plot
To plot scatter plots when markers are identical in size and color.

Notes

How To Do Reverse Order For Scatter Plot In Mac Numbers Free

  • The plot function will be faster for scatterplots where markersdon't vary in size or color.
  • Any or all of x, y, s, and c may be masked arrays, in whichcase all masks will be combined and only unmasked points will beplotted.
  • Fundamentally, scatter works with 1-D arrays; x, y, s, and cmay be input as 2-D arrays, but within scatter they will beflattened. The exception is c, which will be flattened only if itssize matches the size of x and y.

Note

In addition to the above described arguments, this function can take adata keyword argument. If such a data argument is given, thefollowing arguments are replaced by data[<arg>]:

  • All arguments with the following names: 'c', 'color', 'edgecolors', 'facecolor', 'facecolors', 'linewidths', 's', 'x', 'y'.

Objects passed as data must support item access (data[<arg>]) andmembership test (<arg>indata).