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Is there anything a user can do about this? It's not just time series. From the --bar example:
$ graph samples/bar.csv
with the X-axis automagically converted to indexes. However, per the original ticket:
$ graph samples/bar.csv --annotate '1=Oranges'
Traceback (most recent call last):
File "/usr/bin/graph", line 33, in<module>
sys.exit(load_entry_point('graph-cli==0.1.19', 'console_scripts', 'graph')())
File "/usr/lib/python3.10/site-packages/graph_cli/main.py", line 17, in main
create_graph(graphs)
File "/usr/lib/python3.10/site-packages/graph_cli/graph.py", line 323, in create_graph
apply_globals(plt, ax, graphs)
File "/usr/lib/python3.10/site-packages/graph_cli/graph.py", line 378, in apply_globals
slope = get_slope(df, xcol, ycol, xpos=pos[0])
File "/usr/lib/python3.10/site-packages/graph_cli/graph.py", line 421, in get_slope
df['dx'] = df[xcol].diff()
File "/usr/lib/python3.10/site-packages/pandas/core/series.py", line 2697, in diff
result = algorithms.diff(self._values, periods)
File "/usr/lib/python3.10/site-packages/pandas/core/algorithms.py", line 1651, in diff
out_arr[res_indexer] = op(arr[res_indexer], arr[lag_indexer])
TypeError: unsupported operand type(s) for -: 'str' and 'str'
It's not per se a bug, but it'd be awfully useful to be able to annotate in cases when the X axis is being indexed -- for example, in this case, where the viewer would otherwise not be able to tell which index was Oranges by looking at the graph.
Is there a work-around? Or is the only solution to mangle the input data and replace the X column with a sequence?
this may require pushing the auto-fill code from
options.py
intograph.py
where we decide if the xcol is timeseries or notThe text was updated successfully, but these errors were encountered: