Plot a time series of temperatures:

Plot all the data in TimeSeries or EventSeries:

Plot a specific component of a TimeSeries or EventSeries:

Plot multiple components:

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:

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:

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:

Use Highlighted to emphasize specific points in a plot:

Use Highlighted[…,None] to disable highlighting for a single dataset:

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:

AspectRatioFull adjusts the height and width to tightly fit inside other constructs:

By default, DateListPlot uses a frame instead of axes:

Use axes instead of a frame:

Turn each axis on individually:

No axes labels are drawn by default:

Place a label on the axis:

Specify axes labels:

Use units as labels:

The position of the axes is determined automatically:

Specify an explicit origin for the axes:

Change the style for the axes:

Specify the style of each axis:

Use different styles for the ticks and the axes:

Use different styles for the labels and the axes:

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:

DateListPlot uses a frame by default:

Use FrameFalse to turn off the frame:

Draw a frame on the left and right edges:

Draw a frame on the left and bottom edges:

Place a label along the bottom frame of a plot:

Frame labels are placed on the bottom and left frame edges by default:

Place labels on each of the edges in the frame:

Use a customized style for both labels and frame tick labels:

Specify the style of the frame:

Specify style for each frame edge:

Frame ticks are placed automatically by default:

Use a frame with no ticks:

Use different date specifications:

Use frame ticks on the bottom edge:

By default, the top and right edges have tick marks but no tick labels:

Use All to include tick labels on all edges:

Place tick marks at specific positions:

Draw frame tick marks at the specified positions with specific labels:

Specify the lengths for tick marks as a fraction of the graphics size:

Use different sizes in the positive and negative directions for each tick mark:

Specify a style for each frame tick:

Construct a function that places frame ticks at the midpoint and extremes of the frame edge:

By default, the frame ticks and frame tick labels use the same styles as the frame:

Specify an overall style for the ticks, including the labels:

Use different styles for the different frame edges:

Include grid lines at specific dates:

Make the first grid line Blue:

Use named sizes such as Tiny, Small, Medium and Large:

Specify the width of the plot:

Specify the height of the plot:

Allow the width and height to be up to a certain size:

Specify the width and height for a graphic, padding with space if necessary:

Setting AspectRatioFull will fill the available space:

Use maximum sizes for the width and height:

Use ImageSizeFull to fill the available space in an object:

Specify the image size as a fraction of the available space:

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:

TimeSeries is shown as continuous lines:

EventSeries is shown as discrete points:

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:

Labels are automatically placed to maximize readability:

Show all labels:

Use a denser layout for the labels:

Show the half of the labels that are easiest to read:

Only allow labels that are orthogonal to the points:

Only allow labels that are diagonal to the points:

Allow labels to be clipped by the edges of the plot:

Automatically fit a model to the data:

Fit a straight line to the data:

Fit a quadratic curve to the data:

Fit a periodic model to the data:

Plot confidence bands for the data, with a default confidence level of 0.95:

Use a confidence level of 0.5 for the bands:

Show residual lines from the data points to the fitted curve:

Combine the original points with gray residual lines:

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 drop lines to the axes:

Use a ball and label to highlight a specific point in the plot:

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

Highlight a particular set of points at a fixed value:

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

Highlight the curves at a fixed value:

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:

Plots have interactive highlighting by default:

Turn off all the interactive elements:

Allow provided interactive elements and disable automatic ones:

Add an overall label to the plot:

Specify text to label curves:

Use an Association form to specify labels:

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 an Association form to specify legends:

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:

Restrict the range of dates over which to plot:

Set a specific style directive:

By default, different styles are chosen for multiple datasets:

Explicitly specify the style for different datasets:

PlotStyle applies to both lines and points:

Use the association-based syntax to set a base style for all data:

Use a different style for each of the datasets:

Provide an overall base style as well as styles for each dataset:

Use a theme with a dark background in a high-contrast color scheme:

Change the color scheme:

Place text using a shortened DateList as the coordinate:

By default, plots have linear scales in each direction:

Use a log scale in the direction:

Use a linear scale in the direction that shows smaller numbers at the top:

Use a reciprocal scale in the direction:

Use a scale defined by a function and its inverse:

Positions in FrameTicks and GridLines are automatically scaled:

PlotRange is automatically scaled:

Units are automatically extracted from the data:

Specify the units to use:

Ticks are placed automatically in each plot:

Use TicksNone to draw axes without any tick marks:

Use ticks on the date axis, but not the axis:

Place tick marks at specific positions:

Give explicit dates as date strings or absolute times:

Draw tick marks at the specified positions with the specified labels:

Use specific ticks on one axis and automatic ticks on the other:

Specify the lengths for tick marks as a fraction of the graphics size:

Use different sizes in the positive and negative directions for each tick:

Specify a style for each tick:

Construct a function that places ticks at the midpoint and extremes of the numerical axis:

By default, the ticks and tick labels use the same styles as the axis:

Specify an overall ticks style, including the tick labels:

Specify ticks style for each of the axes:

Use a different style for the tick labels and tick marks: