remove references to old name

Author: nicolaskruchten

packages/python/plotly/_plotly_utils/colors/sequential.py

@@ -1,7 +1,7 @@
 """
 Sequential color scales are appropriate for most continuous data, but in some cases it \
-can be helpful to use a `plotly_express.colors.diverging` or \
-`plotly_express.colors.cyclical` scale instead. The color scales in this module are \
+can be helpful to use a `plotly.colors.diverging` or \
+`plotly.colors.cyclical` scale instead. The color scales in this module are \
 mostly meant to be passed in as the `color_continuous_scale` argument to various functions.
 """
 

packages/python/plotly/plotly/express/__init__.py

@@ -1,6 +1,6 @@
 """
-`plotly_express` is a terse, consistent, high-level wrapper around `plotly` for rapid \
-data exploration and figure generation. See the gallery at https://plotly.github.io/plotly_express
+`plotly.express` is a terse, consistent, high-level wrapper around `plotly` for rapid \
+data exploration and figure generation. Learn more at https://plotly.express/
 """
 from __future__ import absolute_import
 from plotly import optional_imports

packages/python/plotly/plotly/express/_core.py

@@ -36,8 +36,8 @@ def __init__(self):
 def set_mapbox_access_token(token):
     """
     Arguments:
-        token: A Mapbox token to be used in `plotly_express.scatter_mapbox` and \
-        `plotly_express.line_mapbox` figures. See \
+        token: A Mapbox token to be used in `plotly.express.scatter_mapbox` and \
+        `plotly.express.line_mapbox` figures. See \
         https://docs.mapbox.com/help/how-mapbox-works/access-tokens/ for more details
     """
     global MAPBOX_TOKEN
@@ -50,7 +50,7 @@ def get_trendline_results(fig):
     the `trendline` argument set to `"ols"`).
 
     Arguments:
-        fig: the output of a `plotly_express` charting call
+        fig: the output of a `plotly.express` charting call
     Returns:
         A `pandas.DataFrame` with a column "px_fit_results" containing the `statsmodels`
         results objects, along with columns identifying the subset of the data the