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removed colorbar key
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packages/python/plotly/plotly/express/_imshow.py

Lines changed: 5 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -106,11 +106,10 @@ def imshow(
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labels : dict with str keys and str values (default `{}`)
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Overrides names used in the figure for axis titles (keys ``x`` and ``y``),
109-
colorbar title (key ``colorbar``) and hover (key ``color``). The values
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should correspond to the desired label to be displayed. If ``img`` is an
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xarray, dimension names are used for axis titles, and long name for the
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colorbar title (unless overridden in ``labels``). Possible keys are:
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x, y, color and colorbar.
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colorbar title and hover (key ``color``). The values should correspond
110+
to the desired label to be displayed. If ``img`` is an xarray, dimension
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names are used for axis titles, and long name for the colorbar title
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(unless overridden in ``labels``). Possible keys are: x, y, and color.
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color_continuous_scale : str or list of str
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colormap used to map scalar data to colors (for a 2D image). This parameter is
@@ -169,7 +168,6 @@ def imshow(
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args = locals()
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apply_default_cascade(args)
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img_is_xarray = False
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colorbar_title = ""
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if xarray_imported:
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if isinstance(img, xarray.DataArray):
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y_label, x_label = img.dims[0], img.dims[1]
@@ -183,7 +181,6 @@ def imshow(
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if aspect is None:
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aspect = "auto"
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z_name = xarray.plot.utils.label_from_attrs(img).replace("\n", "<br>")
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colorbar_title = z_name
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if labels is not None:
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if "x" in labels:
@@ -192,8 +189,6 @@ def imshow(
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y_label = labels["y"]
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if "color" in labels:
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z_name = labels["color"]
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if "colorbar" in labels:
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colorbar_title = labels["colorbar"]
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if not img_is_xarray:
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if aspect is None:
@@ -226,7 +221,7 @@ def imshow(
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cmid=color_continuous_midpoint,
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cmin=range_color[0],
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cmax=range_color[1],
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colorbar=dict(title=colorbar_title),
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colorbar=dict(title=z_name),
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)
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# For 2D+RGB data, use Image trace

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