plots show

Generate plot from a metrics file.

Synopsis

usage: dvc plots show [-h] [-q | -v] [-t <name_or_path>] [-x <field>]
                      [-y <field>] [--no-header] [--title <text>]
                      [--x-label <text>] [--y-label <text>] [-o <path>]
                      [--show-vega]
                      [targets [targets ...]]

positional arguments:
  targets               Metrics files to visualize.
                        Shows all plots by default.

Description

This command provides a quick way to visualize certain metrics such as loss functions, AUC curves, confusion matrices, etc.

All plots defined in dvc.yaml are used by default, but specific plots files can be specified as targets (note that targets don't necessarily have to be defined in dvc.yaml).

The plot style can be customized with plot templates, using the --template option. To learn more about metrics file formats and templates please see dvc plots.

Note that the default behavior of this command can be modified per metrics file with dvc plots modify.

Options

• -o <path>, --out <path> - name of the generated file. By default, this file name is equal to the input filename with a .html file extension (or .json when using --show-vega).
• -t <name_or_path>, --template <name_or_path> - plot template to be injected with data. The default template is .dvc/plots/default.json. See more details in dvc plots.
• -x <field> - field name from which the X axis data comes from. An auto-generated index field is used by default. See Custom templates for more information on this index field. Column names or numbers are expected for tabular metrics files.
• -y <field> - field name from which the Y axis data comes from. The last field found in the targets is used by default. Column names or numbers are expected for tabular metrics files.
• --x-label <text> - X axis label. The X field name is the default.
• --y-label <text> - Y axis label. The Y field name is the default.
• --title <text> - plot title.
• --show-vega - produce a Vega specification file instead of HTML. See dvc plots for more info.
• --no-header - lets DVC know that CSV or TSV targets do not have a header. A 0-based numeric index can be used to identify each column instead of names.
• -h, --help - prints the usage/help message, and exit.
• -q, --quiet - do not write anything to standard output. Exit with 0 if no problems arise, otherwise 1.
• -v, --verbose - displays detailed tracing information.

Example: Hierarchical data

We'll use tabular metrics file train.json for this example:

{
  "train": [
    { "accuracy": 0.96658, "loss": 0.10757 },
    { "accuracy": 0.97641, "loss": 0.07324 },
    { "accuracy": 0.87707, "loss": 0.08136 },
    { "accuracy": 0.87402, "loss": 0.09026 },
    { "accuracy": 0.8795, "loss": 0.0764 },
    { "accuracy": 0.88038, "loss": 0.07608 },
    { "accuracy": 0.89872, "loss": 0.08455 }
  ]
}

train:
  - accuracy: 0.96658
    loss: 0.10757
  - accuracy: 0.97641
    loss: 0.07324
  - accuracy: 0.87707
    loss: 0.08136
  - accuracy: 0.87402
    loss: 0.09026

DVC identifies and plots JSON objects from the first JSON array found in the file (train):

$ dvc plots show train.json
file:///Users/usr/src/plots/train.json.html

Note that only the last field name (loss) is used for the plot by default.

Use the -y option to change the field to plot:

$ dvc plots show -y accuracy train.json
file:///Users/usr/src/plots/logs.json.html

Example: Tabular data

We'll use tabular metrics file logs.csv for these examples:

epoch,accuracy,loss,val_accuracy,val_loss
0,0.9418667,0.19958884770199656,0.9679,0.10217399864746257
1,0.9763333,0.07896138601688048,0.9768,0.07310650711813942
2,0.98375,0.05241111190887168,0.9788,0.06665669009438716
3,0.98801666,0.03681169906261687,0.9781,0.06697812260198989
4,0.99111664,0.027362171787042946,0.978,0.07385754839298315
5,0.9932333,0.02069501801203781,0.9771,0.08009233058886166
6,0.9945,0.017702101902437668,0.9803,0.07830339228538505
7,0.9954,0.01396906608727198,0.9802,0.07247738889862157

epoch    accuracy    loss    val_accuracy    val_loss
0    0.9418667    0.19958884770199656     0.9679    0.10217399864746257
1    0.9763333    0.07896138601688048     0.9768    0.07310650711813942
2    0.98375      0.05241111190887168     0.9788    0.06665669009438716
3    0.988016     0.03681169906261687     0.9781    0.06697812260198989
4    0.991116     0.027362171787042946    0.978     0.07385754839298315
5    0.9932333    0.02069501801203781     0.9771    0.08009233058886166
6    0.9945       0.017702101902437668    0.9803    0.07830339228538505
7    0.9954       0.01396906608727198     0.9802    0.07247738889862157

By default, this command plots the last column of the table (see -y option):

$ dvc plots show logs.csv
file:///Users/usr/src/plots/logs.csv.html

Use the -y option to change the column to plot:

$ dvc plots show logs.csv -y loss
file:///Users/usr/src/plots/logs.csv.html

Headerless tables

A tabular data file without headers can be plotted with --no-header option. A column can be specified with -y by it's numeric position (starting with 0):

$ dvc plots show --no-header logs.csv -y 2
file:///Users/usr/src/plots/logs.csv.html

Example: Vega specification file

In many automation scenarios (like CI/CD for ML), it is convenient to output the Vega specification file instead of rendering an HTML plot. For example, to generating another image format like PNG or JPEG, or to include it differently into a web/mobile app. The --show-vega option prevents wrapping this plot spec in HTML. Note that the resulting file is JSON:

$ dvc plots show --show-vega logs.csv -y accuracy
file:///Users/usr/src/plots/logs.csv.json

{
    "$schema": "https://vega.github.io/schema/vega-lite/v4.json",
    "data": {
        "values": [
    {
        "accuracy": "0.9418667",
    ...