Search results
Results from the WOW.Com Content Network
|square= Makes the chart/plot a square (default no) |width= The width of the chart |picture= The picture for the background of the chart, excluding File: or Image: (default Blank.png) |size= The size of the dots (default 8px) |bottom= Text tho show on the bottom of the template |top= The header to show on top of the graph
Setting to 0 with type=line creates a scatter plot. linewidths : different line widths may be defined for each series of data with csv, if set to 0 with "showSymbols" results with points graph, eg.: linewidths=1, 0, 5, 0.2
Scatter plots are often used to highlight the correlation between variables (x and y). Also called "dot plots" Scatter plot: Scatter plot (3D) position x; position y; position z; color; symbol; size; Similar to the 2-dimensional scatter plot above, the 3-dimensional scatter plot visualizes the relationship between typically 3 variables from a ...
A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.
If the template has a separate documentation page (usually called "Template:template name/doc"), add [[Category:Graph, chart and plot templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Graph, chart and plot templates]]</noinclude>
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file
Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available. A simple SVG line plot with Matplotlib. Here is a minimal line plot (output image is shown on the right):
This template's initial visibility currently defaults to expanded, meaning that it is fully visible. To change this template's initial visibility, the |state= parameter may be used: {{Graph, chart and plot templates | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar.