PyCharm 2023.3 Help

View data

When you double-click a table in the Database tool window ( View | Tool Windows | Database), the table, view, or virtual view opens in the data editor.

Data view modes

You can browse and edit data in three modes: Table, Tree, Text, and Transpose. To switch between these modes, click the View as button (the View as button) and select the mode that you need.

  • Transpose: viewing mode in which rows and columns are interchanged. You can combine this checkbox with other viewing modes.

    To make this mode a default for tables and views, open settings by pressing Ctrl+Alt+S and navigate to Tools | Database | Data Editor and Viewer. From the Automatically transpose tables list, select Always. When this option is enabled, query results are not transposed.

    The transposed table viewing mode
  • Table: the default viewing mode of table data. Data in a table is stored in a cell that is an intersection of a vertical column and horizontal row.

    The table viewing mode
  • Tree: viewing mode in which data is displayed in the key-value table with the possibility to expand the key cell if it contains children nodes. Data from the expanded children node is distributed between key and value columns. You might consider using this mode to work with JSON and array data.

    The tree viewing mode
  • Text: viewing mode in which data is displayed as a text.

    The transposed table viewing mode

Transpose a table, a view, or a virtual view

You can rotate the table data from rows to columns and from columns to rows. In the transposed view, the rows and columns are interchanged. You can combine the transpose action with other viewing modes.

  • To transpose a table, a view, or a virtual view click the View as button (the View as button) and select Transpose.

    The transposed table viewing mode

Reload data for the table view

You need to reload data for the table view if you want to synchronize the data that you see in the editor with the contents of the database. Or, when you want to apply the page size limit setting after its change.

  • Click the Reload Page button (The Reload Page icon) on the toolbar.

  • Right-click the table and select Reload Page from the context menu.

  • Press Ctrl+F5.

View the query that generated the result set

  • To see the query that was used to generate the result table, click the Show Options Menu button (the Show Options Menu icon) and select View Query. If necessary, you can select the query text and copy it to the clipboard by pressing Ctrl+C.

    To close the pane where the query is shown, press Escape.

    View the query that generated the table

Preview DML

  • When you insert, delete, or modify data in a table editor, you can preview the query that PyCharm uses to perform selected operations. To preview the query, click the Preview Pending Changes button (the Preview pending changes button) on the toolbar.

Value editor

Value editor is a separate editor where you can edit data that is stored in the cell. To open Value editor, in the cell context menu select Open in Value Editor.

Open in Value Editor context menu option

To edit the value in value editor, do the following:

  • To start a new line, press Enter.

  • To enter the value, press Ctrl+Enter.

  • To restore an initial value and quit the editing mode, press Escape.

  • To enable soft wrap in the editor by clicking the Toggle Soft-Wrap button the Toggle Soft-Wrap button.

If you store one-line JSON in a cell, you can click the Toggle Formatting icon. This action formats one-line XML and JSON strings.

Preview images

You can preview images in the value editor. To do that, right-click the cell that contains an image and select View Image in the context menu.

Note that to leverage the performance issues, the default LOB size is limited to 1024 bytes. It means that only 1024 bytes are loaded to the table editor. To increase this size and view larger images, open settings by pressing Ctrl+Alt+S, navigate to Tools | | Data Editor and Viewer, and change the value of the Maximum number of bytes loaded per value option.

Preview images in the value editor

Aggregate view

In the Aggregate view, you can select values of multiple cells and get a single summary value. To open Aggregate view, in the cell context menu select Show Aggregate View.

Open in Value Editor context menu option

Click the gear icon (the Settings icon) on the toolbar of the Aggregates tab to view, enable, and disable aggregates. To access the bundled scripts, select Go to Scripts Directory. Bundled scripts are located in Scratches and Consoles | Extensions | Database Tools and SQL | data | aggregators. The directory will open in the Project tool window .

Also, you can create your own aggregate scripts. To add your own aggregator, place your script to the aggregators directory.

Aggregate scripts and extractors

Visualize data

You can use charts to visualize the database objects data and plot your query result sets in data editor. The available chart types are as follows: bar, pie, area, line, scatter, bubble, stock, area range, and histogram. You can also group your data.

Depending on what you are working with, the plot is displayed in split mode or instead of the table:

  • Database objects data and DSV files: split mode.

  • In-editor results and query results set in Services tool window: instead of the table.

Plot a chart

  • To visualize your data, click the Show Chart icon Show Chart on the data editor toolbar.

    Default chart type is selected automatically depending on the data types. To view the exact value, hover over it on the chart.

Visualize data as a chart

Configure a chart

You can view your data in either one of the supported chat types. Use the axes settings to plot the data you need with the available columns.

  1. On the chart toolbar, click Show Series Settings Show Series Settings.

  2. In the chart type selector, click the icon of the type that you want to plot.

  3. For each axis, configure its settings:

    • Click Add Column and select the column that you want to plot.

    • Click the Modifier icon Modifier to modify the data display.

Configure a chart

Plot multiple series

  1. On the chart toolbar, click Show series settings Show Series Settings.

  2. To plot one more series with the data from the same table, click Add new series and configure the new series.

  3. To delete a series, click the Remove icon Remove in the upper-right corner of the series settings pane.

Plot multiple series

Export charts

  1. Click Export to PNG Export to PNG on the chart toolbar to save the generated chart in the .png format.

  2. Enter the filename and click Save.

Reference

Item

Description

Export to PNG Export to PNG

Export chart in the.png format.

Show series settings Show Series Settings

Opens the series settings pane with chart type selector and axes settings.

Item

Description

Chart types

the Bar icon

Bar

the Pie icon

Pie

the Area icon

Area

the Line icon

Line

the Scatter icon

Scatter

the Bubble icon

Bubble

the Stock icon

Stock

the AreaRange icon

AreaRange

the Histogram icon

Histogram

Controls

the Remove icon Remove

(For multiple series plots.) Removes a series from the plot.

X axis

Determines a column plotted on the X axis.

Axis Modifier defines how the data is displayed:

  • none: not applied.

  • group: data is grouped by X axis values.

  • group and sort: data is grouped and sorted by X axis values.

Groups

Determines how the X axis values are grouped.

Y axis

Determines a column plotted on the Y axis.

Axis Modifier defines which Y axis values are displayed.

Using Geo viewer for geographical data in PostgreSQL

The Geo viewer is a graphic viewer that you can use to explore geospatial data in your database. The Geo viewer opens in the Services tool window. You can click rows to navigate to the corresponding area on the map or click a pin on the map to navigate to the corresponding row.

To detach the Geo viewer tab from the Services tool window, drag it from the Services tool window.

Currently, PyCharm supports coordinates in the following formats: WKT, WKB, and PostGIS geometry 4326.

View geographical data with the Geo viewer

  1. In the Database tool window ( View | Tool Windows | Database) , double-click the table with geographical data.

  2. Click the Show Options Menu icon (Show Options Menu icon) and select Show Geo Viewer.

  3. Read the notification about possible risks of enabling JCEF. If you accept the risk, click Enable JCEF.

  4. In the Restart Required window, click Restart Now.

  5. After the restart, press Ctrl+F5 or reopen the table with geographical data.

  6. Click the Show Options Menu icon (Show Options Menu icon) and select Show Geo Viewer.

    View geographical data with the Geo viewer

Recover PyCharm after enabling JCEF

  1. Navigate to the config directory.

    Syntax

    %\HOMEPATH%\.<product><version>\config\projects

    Example

    C:\Users\JohnS\.PyCharm2023.3\config\projects

    Syntax

    ~/Library/Application Support/<product><version>

    Example

    ~/Library/Application Support/PyCharm2023.3

    Syntax

    ~/.<product><version>/config/plugins

    Example

    ~/.PyCharm2023.3/config/plugins

  2. In the options directory, open ide.general.xml in a text editor.

  3. Remove the following line: <entry key="ide.browser.jcef.enabled" value="true" />

Last modified: 07 March 2024