Plot a time series of temperatures:

Dates given as AbsoluteTime specifications:

Dates given as DateString specifications:

Dates given as elided DateList specifications:

Plot a series of data using an initial starting date or time:

Plot data spaced equally in time between a starting and ending date:

Plot data gathered every 90 days, starting on January 1, 2006:

Plot data gathered on the 15 day of each month, starting in January:

Dates determined by an ending date and a step:

Use ScalingFunctions to scale the axes:

Use Quantity to include units with the data:

Plot data in a QuantityArray:

Specify the units used with TargetUnits:

Plot TimeSeries directly:

Numeric values in an Association are used as the coordinates:

Numeric keys and values in an Association are used as the and coordinates:

Plot data with uncertainty:

Use intervals:

Get tabular data for historical populations of several countries:

Plot the population of France from 1940 to 2020:

Plot the populations of France, Germany and Australia:

Include legends for the plot, using the column names:

Use wrappers on individual data, datasets, or collections of datasets:

Wrappers can be nested:

Use the value of each point as a tooltip:

Use a specific label for all the points:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Use Annotation for dynamic action when the mouse enters the plot:

Use Hyperlink to jump to the specified link when clicked:

Use StatusArea to display a string in the status area of the current notebook:

Label data with Labeled:

Label points with automatically positioned text:

Place the labels relative to the points:

Label data with PlotLabels:

Place the label near the points at a date:

Use a scaled position:

Specify the text position relative to the point:

Include legends for each curve:

Use callouts to label curves:

Place a callout at a named location:

Place a callout at a specific location:

Specify the maximum size of labels:

Use the full label:

For dense sets of points, some labels may be turned into tooltips by default:

Increasing the size of the plot will show more labels:

Use Legended to provide a legend for a specific dataset:

Use Placed to change the legend location:

Use Association keys as labels:

Plots usually have interactive callouts showing the coordinates when you mouse over them:

Including specific wrappers or interactions, such as tooltips, turns off the interactive features:

Choose from multiple interactive highlighting effects:

Multiple curves are automatically colored to be distinct:

Provide explicit styling to different curves:

Include legends for each dataset:

Use Legended to provide a legend for a specific dataset:

Use a theme with detailed ticks and grid lines:

Use a more stylized theme:

Create filled plots:

Fill between the curves:

Use shapes to distinguish different datasets:

Plot the data in a stacked layout:

Plot the data as percentiles of the total of the values:

Show multiple curves in a row of separate panels:

Use a column instead of a row:

Use multiple rows or columns:

By default, DateListPlot uses a fixed height to width ratio for the plot:

Use AspectRatio1 to make the height the same as the width:

Prepend a year to create dates from {month,day} lists:

Define functions for interpreting ambiguous date strings:

Specify the format of date ticks as DateString elements:

Place text using a shortened DateList as the coordinate:

Fill from data points to the bottom:

Fill to the bottom with points joined:

Include grid lines at specific dates:

Make the first grid line Blue:

By default, uncertainties are capped:

Use bars to denote uncertainties without caps:

Use bands to represent uncertainties:

Uncertainties automatically inherit the plot style:

Specify the style for uncertainties:

Plot data with points joined by a line:

Plot multiple datasets with points joined:

Only join points for the first dataset:

By default, points are automatically labeled with strings:

Use LabelingFunction->None to suppress the labels:

Put the labels above the points:

Put them in a tooltip:

Textual labels are shown at their actual sizes:

Image labels are automatically resized:

Specify a maximum size for textual labels:

Specify a maximum size for image labels:

Show image labels at their natural sizes:

Plots have interactive coordinate callouts with the default setting PlotHighlightingAutomatic:

Use PlotHighlightingNone to disable the highlighting for the entire plot:

Move the mouse over a set of points to highlight it using arbitrary graphics directives:

Move the mouse over the points to highlight them with balls and labels:

Move the mouse over the curve to highlight it with a label and droplines to the axes:

Move the mouse over the plot to highlight it with a slice showing values corresponding to the position:

Move the mouse over the plot to highlight it with a slice showing values corresponding to the position:

Use a component that shows the points on the plot closest to the position of the mouse cursor:

Specify the style for the points:

Use a component that shows the coordinates on the points closest to the mouse cursor:

Use Callout options to change the appearance of the label:

Combine components to create a custom effect:

Add an overall label to the plot:

Specify text to label curves:

Place the label above the data:

Place the label below the data at a specific date:

Use a callout to label the curve:

PlotLabelAutomatic uses keys of an Association as data labels:

Use None to not add a label:

By default, curves are overlaid on each other:

Plot the data in a stacked layout:

Plot the data as percentiles of the total of the values:

Place each curve in a separate panel using shared axes:

Use a row instead of a column:

Label the individual panels:

Use multiple columns or rows:

PlotLegends matches up styles in the plot:

PlotLegends matches up markers in the plot:

Use a list of legend labels:

Use MetaInformation from a TimeSeries:

See the available MetaInformation:

The metal list can be extracted directly:

Visualize the data:

Use Placed to specify legend placement:

Use PointLegend to change legend appearance: