Skip to main content

Tool for spreadsheet-like data entry in Jupyter notebooks

Project description

data_entry2.py

  • A spreadsheet interface for data entry in Python/Jupyter

Requires: ipydatagrid

To use:

  import numpy as np
  import data_entry

  de = data_entry2.sheet("name")

This creates or loads name.csv and presents as a "live" spreadsheet-like interface. This is for data entry only, no calculations are possible in the spreadsheet.

Put a # in front of a row to comment it out Put a $ in front of a column name to comment out the column (useful for non-numeric columns)

Simple expressions can be evaluated, eg: =1+3/np.sqrt(3)

Generate Vectors generates a series of arrays for each non-commented column.

Two pandas data frames are also created:

  • one is self.df that contains just the data in the vectors.
  • the other, self.fdf is strings that has everything in the whole table.

To take a snapshot of a current sheet and generate a new one: de2 = data_entry2.sheet_copy("old", "new")

if new.csv exists, it gets loaded, if not, old.csv is copied to new.csv.

Add Row and Add Column do what they claim. To remove unwanted empty rows and columns, just re-run the cell that sets up the sheet. empty rows and columns will be deleted.

Copy & Paste only work for single cells.

To edit a cell - click and start typing. If you want to edit a current value: try double clicking - doesn't always take, might need a few tries. Or click and press F2.

After editing a cell, enter moves to next cell down, probably want Tab to move to next cell to right. (shift tab goes left).

There is a top row of cell headers shown that allows: column widths to be adjusted, and filters and sorting. Probably the sorting and filters should not be available. Display of these headers can be disabled by setting: header_visibility='row' in the call to DataGrid, but then the widths can't be adjusted... Can always restore the correct order by sorting key by ascending. To make that work there are some extra spaces included in front of the Variable and Units row headers

In order to help avoid disasterous data loss: every time Generate Vectors is pressed, a snapshot of the current sheet is saved in csv_backups (as long as it is different from the most recent backup). You can poke around in there and make copies of the backups, rename them and move up to where the notebook can use it.

BUGS: the sheet will only render when the notebook is exported if Settings->Auto Save Widget State is toggled on.

To output all sheets: call display_sheets() As long as each sheet was created with a different variable name, they will all be displayed.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

data_entry2-0.1.4.tar.gz (22.1 kB view details)

Uploaded Source

Built Distribution

data_entry2-0.1.4-py3-none-any.whl (21.5 kB view details)

Uploaded Python 3

File details

Details for the file data_entry2-0.1.4.tar.gz.

File metadata

  • Download URL: data_entry2-0.1.4.tar.gz
  • Upload date:
  • Size: 22.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for data_entry2-0.1.4.tar.gz
Algorithm Hash digest
SHA256 42b4fc9c2f35e34269693a7c13fd25b5819c4b30eac13f1b4c891175d6b63c92
MD5 d47c73ba9060d3e48be2c1db13c4247f
BLAKE2b-256 478ef6e7e17e8636a7bccc3d93a2a481cb9873fb21f0f754c1c3681c6c675db1

See more details on using hashes here.

File details

Details for the file data_entry2-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: data_entry2-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 21.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for data_entry2-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 b9a1859f549b967ff967f570c94b3f5df87a7e51e0b4f38bd69cb8bac7e66f34
MD5 14df4255494313f5cb7315eb09898cea
BLAKE2b-256 2ed52f16b06af260114e4b7833c1c9e875ec72df5bec5178fb84c789d5a5ea2e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page