Scientific features

• To open the table search bar, click the table and press Ctrl0F.

• To open the context menu, right-click the column name:

  

• To copy the column name to the clipboard, select Copy Column Name.

• To select the entire column, select Select Column.

• To hide a column, select Hide Column. Hide Other Columns will hide all columns except the selected one.

• To display hidden columns, click Show Column List CtrlF12. The hidden columns are shown strikethrough. Select a column and press Space to toggle its visibility. To search through the column list, start typing a column name in the Show Column List window.

• To assign a language to a column, use Set Highlighting Language. For more information, refer to Inject a language for a column.

• To toggle and configure cell coloring, click Table Coloring Options.

  

• To sort the table data based on the column values, you can either click the column name or select Ascending or Descending from the ORDER BY section in the context menu.

• To add another column to sorting, you can either click the column name while pressing Alt or select Ascending or Descending from the Add to ORDER BY section in the context menu.

  The data will be sorted by selected columns.

  note

  Value column cannot be added to sorting if sorting by the index column is active.

  State	Description
  	Indicates that the data is not sorted in this column. The initial state of the sorting marker.
  	The data is sorted in the ascending order.
  	The data is sorted in the descending order.
  	The number to the right of the marker (1 on the picture) is the sorting level. You can sort by more than one column. In such cases, different columns will have different sorting levels.

1. Click Open Filter View in the upper-right corner of the table.

2. In the dialog that opens, select the column where you want to apply the filter and specify the filter criteria.

   

   tip

   You can add your existing variables from RunTime or create a new variable right in the Enter value field.

3. If you want to use additional filters, click Add filter and specify the new filter criteria.

4. Click Apply to filter data.

To remove or duplicate a filter, click Additional Filter Actions and select the required option from the list.

1. Click More Actions and select Format Table...

2. In the dialog that opens, specify the format and click OK.

   

PyCharm supports Python 2 formatting syntax.

You can use Expression Input to display multidimensional data in a two-dimensional table format.

1. Click More Actions and select Show Expression Input.

2. Write your expression in the input field that appears on top of the table and press Enter.

By default, column statistics are turned off.

To change the default mode to Compact or Detailed, navigate to Settings | Languages & Frameworks | Tables.

The Compact mode includes only None Count statistics:

For numeric data, histograms are plotted and shown together with statistics. Hover over the histogram to view detailed information about each bar.

To view detailed column statistics, do one of the following:

1. Hover over a column name. A popup with column statistics appears.

2. Click Show Column Statistics and select Detailed.

   The detailed statistics are shown above the columns.

For non-numeric data

For numeric data

Data type

Shows the data type the column belongs to

None Count

Shows the number of None values in the column

Count

Shows the total number of items in a column

Distinct

Shows the number of unique values

Top

Shows the most popular value

Frequency

Shows the number of times an element occurs

Data type

Shows the data type the column belongs to

None Count

Shows the number of None values in the column

Count

Shows the total number of items in a column

Mean

Shows the average number of all values in the column

Std. Deviation

Shows the standard deviation value

Min

Shows the minimum value in the column

Pctl

Shows values for 5th, 25th, 50th( Median) and 95th percentiles

Max

Shows the maximum value in the column

note

Viewing column statistics in table outputs is equivalent to using the describe() method for Series. For more information, refer to pandas.Series.describe and polars.Series.describe.

1. Click Show series settings to change the initial settings of the chart.

2. Select the chart type and configure the settings. You can choose one of the following chart types:

   • Bar

   • Pie

   • Area

   • Line

   • Scatter

   • Bubble

   • Stock

   • AreaRange

   • Histogram

   

3. Click the Add new series link to add more series to the chart.

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

2. Enter the filename and click Save.

You can generate a number of preview-charts for a DataFrame using AI. These previews can then be transformed into notebook cells.

1. Click AI Quick Charts in the upper-right corner of the table.

2. You will see the suggested charts under the table. Click any of them to insert the corresponding visualization code as a notebook cell.