Edit DSV files as tables
The following is only valid when the Database Tools and SQL plugin is installed and enabled.
PyCharm lets you edit files with delimiter-separated values (CSV, TSV, and other delimiter-separated formats) as tables.
For these files, a Data tab is available in the lower left corner of text editor. In the Data tab, you can edit the data in data editor. For full information about data editor, refer to Data Editor and Viewer.
The data editor is available if the following conditions are satisfied:
You are using PyCharm Professional Edition. The corresponding functionality is not available in the Community Edition.
The bundled Database Tools and SQL plugin is enabled. For more information, see Install plugins.
The filename extension is associated with the text file type. For more information, see File type associations.
Open DSV file in the table view
Right-click inside a delimited text file and then click Edit as Table . Alternatively, you can click the Edit as Table icon in the editor.
In the Configure CSV Format for <file_name> dialog that opens, specify format settings and click OK .
The dialog has three predefined formats (CSV, TSV, and Pipe-separated) and lets you create a custom format. For example, you may require comma-separated values with semicolons as row separators.
Once you confirm the format settings, the Data tab will present data in a table format correspondingly. If you want to use different format settings, repeat the previous procedure and open the data editor again.
If you want to edit only part of the data, select the necessary fragment inside the file.
For more information about the Configure CSV Format for <file_name> dialog, see the reference.
Sort data
Click the column header to toggle between sorting directions: ascending, descending, and initial unsorted state.
The column sorting is not stacked by default. It means that if you click a column name to sort data by, the sorting based on other columns will be cleared. If you prefer to use the stacked sorting, click a column name while pressing Alt .
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.
Hide columns
Right-click the column header and then click Hide Column .
To see the list of all columns, right-click any column header and then click Columns List . Names of hidden columns are shown struck through. To toggle between hidden and shown state of a column, select it in the list and press Space .
Enable coding assistance
Right-click the column header or individual cell and then click Set Highlighting Language to select a language and provide coding assistance when modifying the contents.
Transpose a table
Click the View as button () on the toolbar, and select Transpose .
To make this mode a default for tables and views, open settings by pressing Control+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.
Extract data
If you need to use the data from the table elsewhere, PyCharm provides several possibilities to copy or save it.
PyCharm uses data extractors to export data in various formats to a file or the clipboard. Each time you export or copy data, the copied data format is defined by the selected data extractor.
For more information about data extractors, refer to the corresponding page.
If the table data that you need to extract contains commas within the cells, PyCharm will honor the contents of such cells.
Export data to file or clipboard
To export full data to a file, open a table and click the Export Data icon () on the toolbar. Configure the export settings and click Export to File .
To export full data to the clipboard, open a table and click the Export Data icon () on the toolbar. Configure the export settings and click Export Table to Clipboard .
Alternatively, right-click a cell and select Export Table to Clipboard . The data will be exported using currently selected data extractor.
In contrast to the Export Table to Clipboard action, the Copy Control+C action only copies the selection of rows. To copy all the rows, click a cell, press Control+A and then Control+C .
Import data to another database
Click the Import to Database button () on the toolbar.
Specify the database, target schema (to create a new table with the exported data) or table (to add exported data to an existing table).
Configure the data mapping and settings for the target table.
Reference
Configure CSV Format for <file_name> dialog
This dialog opens when you select the Edit as Table command in the editor when viewing a file with delimiter-separated values.
This dialog contains the settings for converting delimiter-separated values (for example, CSV, TSV) into table data.
When you change settings, the preview changes correspondingly.
Select a template that successfully converts the file data into a table. You can change settings of predefined templates or add a new template. To add a template, click Add Format button ().
Use the Add Format (), Remove Format (), Up () and Down () buttons to create, delete and reorder the formats; Copy Format () to create a copy of the selected format.
Select or type the character that you want to use as a separator for values.
Select or type the character that you want to use as a separator for rows.
Null value text
Select or type the text that you want to use if a cell contains the NULL value.
Add row prefix/suffix
Click the link and type a row prefix and suffix. Prefix and suffix are character sequences which in addition to the row separator indicate the beginning and end of a row.
Each line in the area under Quotation is a quotation pattern. A quotation pattern includes:
Left : a quotation character that is inserted before a value.
Right : a quotation character that is inserted after a value.
Escape : an escape method or character for the cases when the quotation character is part of a value. The <duplicate> value means that if a quotation character occurs within a value, it is doubled. You can specify your own escape character.
If there is more than one pattern, the first pattern is used.
Use the Add (), Remove (), Up () and Down () buttons to create, delete and reorder the patterns.
Select when you want to enclose values within quotation characters.
Never : do not quote values.
When needed : quote a value if it contains the value or the row separator.
Always : quote all the values.
Ignore or remove whitespace characters. If this checkbox is cleared, the whitespace characters are treated as parts of the corresponding values.
install csv package in pycharm
I updated the pip package to version 9.0.1 but still nothing.
When I run the following code:
I get this error:
csv_f = csv.reader(f) AttributeError: module ‘csv’ has no attribute ‘reader’
I thought it was because I could not install the «csv package»
also I tried running:
and the print result is:
[‘doc‘, ‘loader‘, ‘name‘, ‘package‘, ‘path‘, ‘spec‘]
6 плагинов PyCharm, которые улучшат ваше программирование на Python
Я использую PyCharm Professional каждый день на работе, и без него я бы не обошелся, но я использую несколько плагинов, которые упрощают работу.
Так что я подумал, что поделюсь ими с вами, ребята, так что давайте перейдем к делу.
1. Радуга CSV
Rainbow CSV — это программа для чтения файлов CSV, которая кодирует каждый столбец цветом для удобного просмотра в PyCharm. Это избавляет от необходимости загружать любые CSV-файлы в Excel или Numbers, вы можете делать все это из PyCharm.
2. Радужные скобки
Скобки Rainbow делают то, что вы думаете: они выделяют ваши скобки цветом, точно так же, как Rainbow CSV делает для CSV. Это действительно удобно, если вы пропустили скобку в начале, середине или конце строки.
3. Отступ радуги
Indent Rainbow — еще один плагин цвета радуги, но на этот раз он окрашивает ваши отступы.
4. Табнин
Tabnine — это плагин для автоматического автозавершения кода, управляемый ИИ, это пугающе точно, и он даже научил меня некоторым вещам! Я использую бесплатную версию, которая ограничена, но версия Pro не так много, если вам нравится Pro.
5. CodeGlance
CodeGlance дает вам визуальную боковую панель вашего кода и значительно упрощает навигацию по вашему коду.
6. Материальная тема
Тема материала — это набор тем для PyCharm, которые немного упрощают кодирование в различных ситуациях освещения. Мой личный фаворит — Monokai Pro, мне нравится расцветка синтаксиса кода.
Чтобы установить эти плагины, перейдите в «Настройки», затем нажмите «Плагины» на правой панели.
Используйте панель поиска для поиска любых интересующих вас плагинов. Как только вы найдете нужный, просто нажмите кнопку «Установить», это так просто.
Заключение
Я очень надеюсь, что вы найдете это полезным, не забудьте подписаться на меня в Twitter и здесь.
How To Import a CSV File to Pycharm
Knowing how to import and read a CSV file in Pycharm is a big plus. You save time; you work faster; and your work remains compact, among other benefits.
Pycharm itself is a robust tool. If you are not persistent, you get tired of it easily — while trying to import a CSV file or do other things.
Below, I explained how you could import a CSV file on your computer or online to Pycharm. And how you can add the file permanently to your Pycharm directory.
Note: install pandas first if not already installed.
How to Import a CSV File in Pycharm
- Find the CSV file path you want to import or read in Pycharm. To find the CSV file on your computer, type the filename in the “Type here to search” taskbar in windows. Find that at the bottom left of your computer screen.
- Filename(s) will pop up. Right-click on the file you want and click “Copy full path”. Or click the arrow-head shape in front of the file you want and click “Copy full path”.
- Open Pycharm and write the below three-line code:
Remember to include “r” first inside the bracket.
The copied path should look like this: “C:\Users\hp\Datafile.CSV”
Your CSV file should open inside Pycharm!
You can also import or read a CSV file online in Pycharm without downloading the file. Replace the CSV file path you copied above with the link to the CSV file online. You should be connected to the internet to do this, though.
How To Add CSV file to Pycharm Directory
When a CSV file is added permanently to the Pycharm directory, you won’t need to access the CSV file from outside Pycharm again. The CSV file would be right in Pycharm.