Comments (3)
You can't access the file system from a web browser. It's just not possible.
You should try loading your data through a REST API.
from data-forge-ts.
@ashleydavis Thanks for the quick turn around. I feel the error message shown should mention this. At the moment it sounds like the function the user typed is wrong. Instead a message like "File Resource inaccessible error" would be more appropriate.
from data-forge-ts.
I can appreciate your confusion and I do mention several places in my documentation that this is how it works.
In any case I'm not sure how I'd put the error message in there (please suggest a way for me to do that and I'll put it in there for you).
Besides, most web developers already know they can't access the file system from the browser. If that were possible then all sorts of web pages would be stealing data from your computer.
from data-forge-ts.
Related Issues (20)
- 'withSeries' of DataFrame not working correctly after filtering by 'where' HOT 2
- Rolling window with select function not behaving correctly HOT 4
- What am I missing? (inconsistent math when generating a new column) HOT 3
- Console logs in construction DataFrame HOT 3
- Tyopescript compatible new column / generateSeris HOT 1
- Data frame case sensitivity is not carried over after Merge Transform is applied HOT 3
- How to stringify entire table without boiler plate content HOT 2
- Case Sensitivity Bug in Several Transforms HOT 1
- do we have resample function similar in Pandas? HOT 1
- Can data-forage-ts transpose index and columns? HOT 1
- DataFrame distinct with multiple columns in the selector is not working if the name of the columns is variable HOT 4
- Bug on the Series toArray method removing all the null values HOT 2
- Explode functionallity HOT 3
- Improve documentation for `DataFrame.concat` in relation to index HOT 5
- Columns are badly formatted HOT 5
- Pivot seems to not respect lazy evaluation HOT 2
- getColumns(), getColumnNames(), hasSeries() don't see all columns if df is loaded fromJson() HOT 3
- merge() results in concat if index is a Date object HOT 3
- generateSeries() on a df with duplicated index uses last row results for the given index value HOT 2
- fromCSV : TypeError: row.map is not a function HOT 2
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