Allow users to import CSV data
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- data-visualization
Research direction
Start by reviewing the existing PyChart chart API and the proposed PyChart.import_CSV(file="files/path.csv", type="bar") entry point. Use the supplied Chrome-export-style CSV as the input example, and define what supported chart types and CSV-to-chart behavior must be covered before considering the feature complete.
Written by the indexing model from the issue text.
Description
Allowing users to read in CSV data would come in handy. For instance, Google Chrome store exports statistics into CSV files. Analyzing them in pychart would be nice.
PyChart would ideally read in the CSV file and format to a given chart type.
Example code could be: chart_instance = PyChart.import_CSV(file="files/path.csv", type="bar") where file is a path to the specific CSV file and type is a type of chart (bar, scatter, pie, etc).
Example data might resemble:
"Date","Impressions","Installations"
"2016-02-08","115.0","3.0"
"2016-02-09","146.0","1.0"
"2016-02-10","152.0","1.0"
"2016-02-11","143.0","0.0"
"2016-02-12","123.0","2.0"
"2016-02-13","111.0","1.0"
"2016-02-14","110.0","1.0"
"2016-02-15","183.0","0.0"
"2016-02-16","185.0","4.0"
"2016-02-17","228.0","1.0"
"2016-02-18","257.0","1.0"
...
- Dominant language
- Python
- Stars
- 5
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
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- Open a pull request that references the issue number.
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