plotly.express.density_map¶plotly.express.density_map(data_frame=None, lat=None, lon=None, z=None, hover_name=None, hover_data=None, custom_data=None, animation_frame=None, animation_group=None, category_orders=None, labels=None, color_continuous_scale=None, range_color=None, color_continuous_midpoint=None, opacity=None, zoom=8, center=None, map_style=None, radius=None, title=None, subtitle=None, template=None, width=None, height=None) → plotly.graph_objects._figure.Figure¶In a density map, each row of
data_framecontributes to the intensity of the color of the region around the corresponding point on the map.
data_frame (DataFrame or array-like or dict) – This argument needs to be passed for column names (and not keyword names) to be used. Array-like and dict are transformed internally to a pandas DataFrame. Optional: if missing, a DataFrame gets constructed under the hood using the other arguments.
lat (str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series or
array_like object. Values from this column or array_like are used to
position marks according to latitude on a map.
lon (str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series or
array_like object. Values from this column or array_like are used to
position marks according to longitude on a map.
z (str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series or
array_like object. Values from this column or array_like are used to
position marks along the z axis in cartesian coordinates.
hover_name (str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series or
array_like object. Values from this column or array_like appear in bold
in the hover tooltip.
hover_data (str, or list of str or int, or Series or array-like, or dict) – Either a name or list of names of columns in data_frame, or pandas
Series, or array_like objects or a dict with column names as keys, with
values True (for default formatting) False (in order to remove this
column from hover information), or a formatting string, for example
‘:.3f’ or ‘|%a’ or list-like data to appear in the hover tooltip or
tuples with a bool or formatting string as first element, and list-like
data to appear in hover as second element Values from these columns
appear as extra data in the hover tooltip.
custom_data (str, or list of str or int, or Series or array-like) – Either name or list of names of columns in data_frame, or pandas
Series, or array_like objects Values from these columns are extra data,
to be used in widgets or Dash callbacks for example. This data is not
user-visible but is included in events emitted by the figure (lasso
selection etc.)
animation_frame (str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series or
array_like object. Values from this column or array_like are used to
assign marks to animation frames.
animation_group (str or int or Series or array-like) – Either a name of a column in data_frame, or a pandas Series or
array_like object. Values from this column or array_like are used to
provide object-constancy across animation frames: rows with matching
`animation_group`s will be treated as if they describe the same object
in each frame.
category_orders (dict with str keys and list of str values (default {})) – By default, in Python 3.6+, the order of categorical values in axes,
legends and facets depends on the order in which these values are first
encountered in data_frame (and no order is guaranteed by default in
Python below 3.6). This parameter is used to force a specific ordering
of values per column. The keys of this dict should correspond to column
names, and the values should be lists of strings corresponding to the
specific display order desired.
labels (dict with str keys and str values (default {})) – By default, column names are used in the figure for axis titles, legend
entries and hovers. This parameter allows this to be overridden. The
keys of this dict should correspond to column names, and the values
should correspond to the desired label to be displayed.
color_continuous_scale (list of str) – Strings should define valid CSS-colors This list is used to build a
continuous color scale when the column denoted by color contains
numeric data. Various useful color scales are available in the
plotly.express.colors submodules, specifically
plotly.express.colors.sequential, plotly.express.colors.diverging
and plotly.express.colors.cyclical.
range_color (list of two numbers) – If provided, overrides auto-scaling on the continuous color scale.
color_continuous_midpoint (number (default None)) – If set, computes the bounds of the continuous color scale to have the
desired midpoint. Setting this value is recommended when using
plotly.express.colors.diverging color scales as the inputs to
color_continuous_scale.
opacity (float) – Value between 0 and 1. Sets the opacity for markers.
zoom (int (default 8)) – Between 0 and 20. Sets map zoom level.
center (dict) – Dict keys are 'lat' and 'lon' Sets the center point of the map.
map_style (str (default 'basic')) – Identifier of base map style. Allowed values are 'basic',
'carto-darkmatter', 'carto-darkmatter-nolabels',
'carto-positron', 'carto-positron-nolabels', 'carto-voyager',
'carto-voyager-nolabels', 'dark', 'light', 'open-street-map',
'outdoors', 'satellite', 'satellite-streets', 'streets',
'white-bg'.
radius (int (default is 30)) – Sets the radius of influence of each point.
title (str) – The figure title.
subtitle (str) – The figure subtitle.
template (str or dict or plotly.graph_objects.layout.Template instance) – The figure template name (must be a key in plotly.io.templates) or definition.
width (int (default None)) – The figure width in pixels.
height (int (default None)) – The figure height in pixels.