Work with outputs
When you execute a code cell, its output is shown below. You can save the results or clear the output.
You can manage the length of the notebook by expanding and collapsing cell outputs.
Click the blue border in the gutter next to the cell output.
![Cell output expanded Cell output expanded](https://resources.jetbrains.com/help/img/idea/2024.2/py_cell_output_expanded.png)
![Cell output collapsed Cell output collapsed](https://resources.jetbrains.com/help/img/idea/2024.2/py_cell_output_collapsed.png)
Right-click the output and select Save As from the context menu.
If you are using a dark UI theme, the colors in charts are adapted for better readability by default. To change this behavior, perform the following steps:
Press CtrlAlt0S to open settings and then select Languages & Frameworks | Jupyter.
Disable the Invert image outputs for dark themes checkbox.
Restart the editor to apply the changes.
Move the mouse pointer to the bottom of the cell, so that the pointer becomes a double arrow.
Click and drag the cell border up or down to reach the desired size:
Dataframes and series can be displayed in tabular or graphical form. By default, tables are shown. To toggle the view mode, use the corresponding icons in the upper left corner.
![View dataframe as a table View dataframe as a table](https://resources.jetbrains.com/help/img/idea/2024.2/py_table_view.png)
To open the table in a separate editor tab, click in the upper-right corner of the output cell.
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 Columns 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 Columns List window.
To assign a language to a column, use Set Highlighting Language. For more information, refer to Inject a language for a column.
Click
Export Data to File.
Choose an extractor and configure additional settings.
Click
Browse to choose the location for your file.
Click Export to File to save the data as a file.
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.
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 Missing
and Count
statistics:
![Column statistics in a compact mode Column statistics in a compact mode](https://resources.jetbrains.com/help/img/idea/2024.2/py_compact_statistics.png)
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:
Hover over a column name. A popup with column statistics appears.
Click
Show Column Statistics and select Detailed.
The detailed statistics are shown above the columns.
![Column statistics for non-numeric data Column statistics for non-numeric data](https://resources.jetbrains.com/help/img/idea/2024.2/py_ds_column_stats_non_numeric.png)
- Data type
Shows the data type the column belongs to
- Missing
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
![Column statistics for numeric data Column statistics for numeric data](https://resources.jetbrains.com/help/img/idea/2024.2/py_ds_column_stats_numeric.png)
- Data type
Shows the data type the column belongs to
- Missing
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 forSeries
. For more information, refer to pandas.Series.describe and polars.Series.describe.
To view dataframes or series in a graphical form, click Show Chart.
The data will be displayed in the form of a chart. You can change the type of chart and configure additional settings.
![Data displayed as a chart Data displayed as a chart](https://resources.jetbrains.com/help/img/idea/2024.2/py_ds_chart_displayed.png)
Click
Show series settings to change the initial settings of the chart.
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
Click the Add new series link to add more series to the chart.
Click
Export to PNG to save the generated chart in the .png format.
Enter the filename and click Save.
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