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Download Link: World Happiness Data. We will first create a dataframe of downloaded data because we will be using this dataframe for plotting in the following sections. The original column names are long therefore we will rename those columns to something meaningful. We will plot the columns in group for the top 5 happiest country and will display them side-by-side. We are creating an array of top 5 happiest country and then adding plotly graph object Bar for each of the columns in a data array.

The argument x is the array of country and argument y is the pandas series object of each of the column. Finally we will update the layout of the figure and pass the barmode parameter as group to create a grouped bar graph. We are first selecting the first five rows from the dataframe to get the top five happiest country and then plot Country as x-axis and other five columns — Corruption, Freedom, Generosity, Social support as y-axis.

This method accepts a graph object trace an instance of go. Scatter , go. Bar , etc. We will create the scatter plot using Plotly Express which is easy-to-use, high-level interface to Plotly. With px. The color data is added to hover information. A scatterplot matrix is a matrix associated to n numerical arrays data variables , X1,X2,…,XnX1,X2,…,Xn , of the same length. The cell i,j of such a matrix displays the scatter plot of the variable Xi versus Xj. We can specify the columns to be displayed in the dimensions parameter and represent color using any of the column.

We are updating the figure x axis and y axis by setting the start value of the axes and the interval. So for x-axis the start value is 0 and interval is 1 and for y-axis the start value is 0 and interval is 20 and that is evident from the plot below. We can also customize the tick marks in the plot by setting the tick width, color and length arguments in update functions. To have plotly compute them or to show sample points besides the boxes, users can set the y data array for vertical boxes x for horizontal boxes to a 2D array with the outer length corresponding to the number of boxes in the traces and the inner length corresponding the sample size.

Defaults to True when mean is set. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. If 0, the sample points align along the distribution axis. If 1, the sample points are drawn in a random jitter of width equal to the width of the box es.

Line instance or dict with compatible properties. There should be as many items as the number of boxes desired. If lowerfence is not provided but a sample in y or x is set, we compute the lower as the last sample point below 1. If mean is not provided but a sample in y or x is set, we compute the mean for each box using the sample values. For box traces, the name will also be used for the position coordinate, if x and x0 y and y0 if horizontal are missing and the position axis is categorical.

Notches displays a confidence interval around the median. Defaults to False unless notchwidth or notchspan is set. If notchspan is not provided but a sample in y or x is set, we compute it as 1. For example, with 0, the notches are as wide as the box es. If 0, the sample points are places over the center of the box es.

Positive negative values correspond to positions to the right left for vertical boxes and above below for horizontal boxes. If sd is not provided but a sample in y or x is set, we compute the standard deviation for each box using the sample values. If upperfence is not provided but a sample in y or x is set, we compute the lower as the last sample point above 1. For example, with 1, the whiskers are as wide as the box es. See overview for more info.

The candlestick is a style of financial chart describing open, high, low and close for a given x coordinate most likely time. The boxes represent the spread between the open and close values and the lines represent the spread between the low and high values Sample points where the close value is higher lower then the open value are called increasing decreasing.

By default, increasing candles are drawn in green whereas decreasing are drawn in red. Decreasing instance or dict with compatible properties. Increasing instance or dict with compatible properties. Legendgrouptit le instance or dict with compatible properties. The data describing carpet axis layout is set in y and optionally also x. If only y is present, x the plot is interpreted as a cheater plot and is filled in using the y values. Builds a linear space of a coordinates.

Use with da where a0 is the starting coordinate and da the step. Aaxis instance or dict with compatible properties. Use with db where b0 is the starting coordinate and db the step. Baxis instance or dict with compatible properties. Only used if x is been omitted. Grid color is lightened by blending this with the plot background Individual pieces can override this. See a0 for more info. See b0 for more info.

If omitted, the plot is a cheater plot and the xaxis is hidden by default. The data that describes the choropleth value-to-color mapping is set in z. The geographic locations corresponding to each value in z are set in locations.

In case colorscale is unspecified or autocolorscale is true, the default palette will be chosen according to whether numbers in the color array are all positive, all negative or mixed. Settings for these shared color axes are set in the layout, under layout. Note that multiple color scales can be linked to the same color axis. ColorBar instance or dict with compatible properties. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string.

At minimum, a mapping for the lowest 0 and highest 1 values are required. For example, [[0, 'rgb 0,0, '], [1, 'rgb ,0,0 ']]. Only has an effect when geojson is set. If not given, the features on the base map are used. Legendgrouptitl e instance or dict with compatible properties. See locationmode for more info. If true, zmin will correspond to the last color in the array and zmax will correspond to the first color.

Value should have the same units as in z and if set, zmin must be set as well. Value should have the same units as in z. Has no effect when zauto is false. Value should have the same units as in z and if set, zmax must be set as well. GeoJSON features to be filled are set in geojson The data that describes the choropleth value-to-color mapping is set in locations and z. By default, choroplethmapbox traces are placed above the water layers.

Hoverlabe l instance or dict with compatible properties. Legendgro uptitle instance or dict with compatible properties. Unselecte d instance or dict with compatible properties. Use cone traces to visualize vector fields. Specify a vector field using 6 1D arrays, 3 position arrays x , y and z and 3 vector component arrays u , v , w. The cones are drawn exactly at the positions given by x , y and z.

Has no effect when cauto is false. Lighting instance or dict with compatible properties. Lightposition instance or dict with compatible properties. Please note that in the case of using high opacity values for example a value greater than or equal to 0. This behavior may be improved in the near future and is subject to change. If true, cmin will correspond to the last color in the array and cmax will correspond to the first color. All cones in a given trace use the same factor.

By default the values are formatted using generic number format. The data from which contour lines are computed is set in z. Data in z must be a 2D list of numbers. Say that z has N rows and M columns, then by default, these N rows correspond to N y coordinates set in y or auto-generated and the M columns correspond to M x coordinates set in x or auto- generated. By setting transpose to True, the above behavior is flipped. If True, the number of contour levels can be set in ncontours.

If False, set the contour level attributes in contours. It is defaulted to true if z is a one dimensional array otherwise it is defaulted to false. Contours instance or dict with compatible properties. The actual number of contours will be chosen automatically to be less than or equal to the value of ncontours.

Has an effect only if autocontour is True or if contours. Sets the text font. Template string used for rendering the information text that appear on points. Plots contours on either the first carpet axis or the carpet axis with a matching carpet attribute. Data z is interpreted as matching that of the corresponding carpet axis. Legendgroupt itle instance or dict with compatible properties. Draws a bivariate kernel density estimation with a Gaussian kernel from lon and lat coordinates and optional z values using a colorscale.

Increasing the value makes the densitymapbox trace smoother, but less detailed. For example, a value of 10 would be equivalent to having 10 points of weight 1 in the same spot. Visualize stages in a process using length-encoded bars. Connector instance or dict with compatible properties. Visualize stages in a process using area-encoded trapezoids. See label0 for more info. Domain instance or dict with compatible properties. If a single string, the same string appears for all data points.

Builds a numeric set of labels. Use with dlabel where label0 is the starting label and dlabel the step. If labels entries are duplicated, we sum associated values or simply count occurrences if values is not provided. For other array attributes including color we use the first non-empty entry among all occurrences of the label. If omitted, we count occurrences of each label.

The data that describes the heatmap value-to-color mapping is set in z. Data in z can either be a 2D list of values ragged or not or a 1D array of values. In the case where z is a 2D list, say that z has N rows and M columns. Then, by default, the resulting heatmap will have N partitions along the y axis and M partitions along the x axis.

This behavior can be flipped by using transpose. If M N , then the coordinates correspond to the center of the heatmap cells and the cells have equal width. In the case where z is a 1D list, the x and y coordinates must be provided in x and y respectively to form data triplets. It is defaulted to true if z is a one dimensional array and zsmooth is not false; otherwise it is defaulted to false.

WebGL version of the heatmap trace type. The sample data from which statistics are computed is set in x for vertically spanning histograms and in y for horizontally spanning histograms. Binning options are set xbins and ybins respectively if no aggregation data is provided. However, we accept autobinx: true or false and will update xbins accordingly before deleting autobinx from the trace.

However, we accept autobiny: true or false and will update ybins accordingly before deleting autobiny from the trace. Cumulative instance or dict with compatible properties. If probability density , the area of each bar corresponds to the probability that an event will fall into the corresponding bin here, the sum of all bin AREAS equals 1. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data.

Ignored if xbins. Ignored if ybins. XBins instance or dict with compatible properties. YBins instance or dict with compatible properties. The sample data from which statistics are computed is set in x and y where x and y represent marginal distributions, binning is set in xbins and ybins in this case or z where z represent the 2D distribution and binning set, binning is set by x and y in this case.

The resulting distribution is visualized as a heatmap. Using xbingroup , histogram2d and histogram2dcontour traces on axes of the same axis type can have compatible x-bin settings. Note that the same xbingroup value can be used to set 1D histogram bingroup. Using ybingroup , histogram2d and histogram2dcontour traces on axes of the same axis type can have compatible y-bin settings.

Note that the same ybingroup value can be used to set 1D histogram bingroup. The resulting distribution is visualized as a contour plot. ColorBa r instance or dict with compatible properties. Contour s instance or dict with compatible properties. Hoverla bel instance or dict with compatible properties. Legendg rouptitle instance or dict with compatible properties. If both row and col are None, addresses the first subplot if subplots exist, or the only plot.

If dict , — it is interpreted as describing an annotation. Leaf instance or dict with compatible properties. Set level to '' to start from the root node in the hierarchy. This option refers to the root of the hierarchy presented on top left corner of a treemap graph. When ids is not set, plotly attempts to find matching items in labels , but beware they must be unique. Pathbar instance or dict with compatible properties. Root instance or dict with compatible properties. Tiling instance or dict with compatible properties.

Use with branchvalues to determine how the values are summed. Display an image, i. By default, when an image is displayed in a subplot, its y axis will be reversed ie. If source is specified, this attribute will be set to rgba otherwise it defaults to rgb. Note that the default value will depend on the colormodel. For the rgb colormodel, it is [, , ]. For the rgba colormodel, it is [, , , 1]. For the rgba colormodel, it is [, , , ]. For the hsl colormodel, it is [, , ]. For the hsla colormodel, it is [, , , 1].

For the rgb colormodel, it is [0, 0, 0]. For the rgba colormodel, it is [0, 0, 0, 0]. For the hsl colormodel, it is [0, 0, 0]. For the hsla colormodel, it is [0, 0, 0, 0]. This only applies for image traces that use the source attribute. Deltas are taken with respect to a reference. Gauges can be either angular or bullet aka linear gauges. Note that this attribute has no effect if an angular gauge is displayed: in this case, it is always centered. Delta instance or dict with compatible properties.

Finally, gauge displays the value graphically on an axis. Number instance or dict with compatible properties. Draws isosurfaces between iso-min and iso-max values with coordinates given by four 1-dimensional arrays containing the value , x , y and z of every vertex of a uniform or non- uniform 3-D grid. Horizontal or vertical slices, caps as well as spaceframe between iso-min and iso-max values could also be drawn using this trace.

Caps instance or dict with compatible properties. Value should have the same units as value and if set, cmin must be set as well. Value should have the same units as value. Value should have the same units as value and if set, cmax must be set as well. Contour instance or dict with compatible properties. Slices instance or dict with compatible properties. Spaceframe instance or dict with compatible properties. Surface instance or dict with compatible properties.

When xref and yref are both set to paper , image is drawn below the entire plot area. The image will be sized based on the position value. When xref is set to paper , units are sized relative to the plot width. When yref is set to paper , units are sized relative to the plot height. The URL must be accessible from the domain where the plot code is run, and can be either relative or absolute.

When xref is set to paper , units are sized relative to the plot height. See xref for more info. See yref for more info. Draws sets of triangles with coordinates given by three 1-dimensional arrays in x , y , z and 1 a sets of i , j , k indices 2 Delaunay triangulation or 3 the Alpha- shape algorithm or 4 the Convex-hull algorithm.

For general use of mesh3d it is preferred that i , j , k are supplied. In case the delaunayaxis intersects the mesh surface at more than one point it will result triangles that are very long in the dimension of delaunayaxis. If 0, the convex-hull algorithm is used. It is suitable for convex bodies or if the intention is to enclose the x , y and z point set into a convex hull.

Value should have the same units as intensity and if set, cmin must be set as well. Value should have the same units as intensity. Value should have the same units as intensity and if set, cmax must be set as well. It has an effect if i , j , k are not provided and alphahull is set to indicate Delaunay triangulation. Therefore, each element in i represents a point in space, which is the first vertex of a triangle.

It can be used for plotting fields on meshes. Therefore, each element in j represents a point in space, which is the second vertex of a triangle. Therefore, each element in k represents a point in space, which is the third vertex of a triangle. While Red, green and blue colors are in the range of 0 and ; in the case of having vertex color data in RGBA format, the alpha color should be normalized to be between 0 and 1. The nth element of vectors x , y and z jointly represent the X, Y and Z coordinates of the nth vertex.

The ohlc short for Open-High-Low-Close is a style of financial chart describing open, high, low and close for a given x coordinate most likely time. The tip of the lines represent the low and high values and the horizontal segments represent the open and close values. Sample points where the close value is higher lower then the open value are called increasing decreasing.

By default, increasing items are drawn in green whereas decreasing are drawn in red. If perpendicular , the categories can only move along a line perpendicular to the paths. If freeform , the categories can freely move on the plane. If fixed , the categories and dimensions are stationary. Defaults to 1 so that each state represents one observation. If category , hover interaction take place per category.

If color , hover interactions take place per color per category. If dimension , hover interactions take place across all categories per dimension. If forward , sort paths based on dimension categories from left to right. If backward , sort paths based on dimensions categories from right to left. Parallel coordinates for multidimensional exploratory data analysis. The samples are specified in dimensions. The colors are set in line.

For example, a tickangle of draws the labels vertically. A data visualized by the sectors of the pie is set in values. The sector labels are set in labels. The sector colors are set in marker.

However being a Data Scientist, I mostly work on Python and always looking around the amazing open source tools developed by those amazing peoples and leveraging their power in my work. In my previous post about Data Visualization, I explained how flexible is the Pandas plot function which is a wrapper of matplotlib and can be used with much ease to give a graphical shape to your data in no time. Recently, I used plotly for some visualization work and found it to be a great tool for visualizing your data and gives a quick turnaround.

Its a graphing library that lets you create an interactive graphs on your browser using python and You can also view it on a jupyter notebook or a HTML file. I am using the World Happiness index data of to plot different graphs type and to explore plotly functions.

Download Link: World Happiness Data. We will first create a dataframe of downloaded data because we will be using this dataframe for plotting in the following sections. The original column names are long therefore we will rename those columns to something meaningful. We will plot the columns in group for the top 5 happiest country and will display them side-by-side. We are creating an array of top 5 happiest country and then adding plotly graph object Bar for each of the columns in a data array.

The argument x is the array of country and argument y is the pandas series object of each of the column. Finally we will update the layout of the figure and pass the barmode parameter as group to create a grouped bar graph. We are first selecting the first five rows from the dataframe to get the top five happiest country and then plot Country as x-axis and other five columns — Corruption, Freedom, Generosity, Social support as y-axis.

This method accepts a graph object trace an instance of go. Scatter , go. Bar , etc. We will create the scatter plot using Plotly Express which is easy-to-use, high-level interface to Plotly. With px. The color data is added to hover information. A scatterplot matrix is a matrix associated to n numerical arrays data variables , X1,X2,…,XnX1,X2,…,Xn , of the same length. Has an effect only if text spans two or more lines i.

A value of 1 default gives a head about 3x as wide as the line. If axref is pixel , a positive negative component corresponds to an arrow pointing from right to left left to right. If axref is not pixel and is exactly the same as xref , this is an absolute value on that axis, like x , specified in the same coordinates as xref.

If set to a ax axis id e. Absolute positioning is useful for trendline annotations which should continue to indicate the correct trend when zoomed. Relative positioning is useful for specifying the text offset for an annotated point. If ayref is pixel , a positive negative component corresponds to an arrow pointing from bottom to top top to bottom. If ayref is not pixel and is exactly the same as yref , this is an absolute value on that axis, like y , specified in the same coordinates as yref.

If set to a ay axis id e. By default captureevents is False unless hovertext is provided. If you click a data point that exactly matches the x and y values of this annotation, and it is hidden visible: false , it will appear. This is useful for example to label the side of a bar.

To label markers though, standoff is preferred over xclick and yclick. Taller text will be clipped. Hoverlab el instance or dict with compatible properties. If omitted or blank, no hover label will appear. You can modify these items in the output figure by making your own item with templateitemname matching this name alongside your modifications including visible: false or enabled: false to hide it. Has no effect outside of a template. If False, text lines up with the x and y provided.

Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with templateitemname matching its name , alongside your modifications including visible: false or enabled: false to hide it.

If there is no template or no matching item, this item will be hidden unless you explicitly show it with visible: true. Has an effect only if an explicit height is set to override the text height. Wider text will be clipped.

This controls whether bars compute their positional range dependently or independently. To show the text nodes above axis lines and tick labels, make sure to set xaxis. This may be useful when listening to hover, click and selection events. See x0 for more info. See y0 for more info. ErrorX instance or dict with compatible properties. ErrorY instance or dict with compatible properties.

If none or skip are set, no information is displayed upon hovering. But, if none is set, click and hover events are still fired. Note that this will override hoverinfo. Additionally, every attributes that can be specified per-point the ones that are arrayOk: true are available. If a single string, the same string appears over all the data points. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. Legendgrouptitle instance or dict with compatible properties.

The default legendrank is , so that you can use ranks less than to place certain items before all unranked items, and ranks greater than to go after all unranked items. Marker instance or dict with compatible properties. Attributes such as trace name , graph, axis and colorbar title.

The trace name appear as the legend item and on hover. Selected instance or dict with compatible properties. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the unselected are turned on for all points, whereas, any other non-array values means no selection all where the selected and unselected styles have no effect.

Stream instance or dict with compatible properties. For example, a tickangle of draws the tick labels vertically. Note that this will override textinfo. Every attributes that can be specified per-point the ones that are arrayOk: true are available. Note that other user-driven trace attribute changes are controlled by layout attributes: trace.

Trace changes are tracked by uid , which only falls back on trace index if no uid is provided. Unselected instance or dict with compatible properties. Builds a linear space of x coordinates. Use with dx where x0 is the starting coordinate and dx the step. For example, In this case n must be a positive integer. Sets the base for period positioning in milliseconds or date string on the x0 axis.

When x0period is round number of weeks, the x0period0 by default would be on a Sunday i. Sets the alignment of data points on the x axis. Builds a linear space of y coordinates. Use with dy where y0 is the starting coordinate and dy the step. Sets the base for period positioning in milliseconds or date string on the y0 axis. When y0period is round number of weeks, the y0period0 by default would be on a Sunday i.

Sets the alignment of data points on the y axis. Only valid if figure was created using plotly. Only valid if all of the following conditions are satisfied:. The figure was created using plotly. The data visualized by the radial span of the bars is set in r. Builds a linear space of r coordinates. Use with dr where r0 is the starting coordinate and dr the step. If a single string, the same string appears over all bars.

Builds a linear space of theta coordinates. Use with dtheta where theta0 is the starting coordinate and dtheta the step. Each box spans from quartile 1 Q1 to quartile 3 Q3. The second quartile Q2, i. The values and positions corresponding to each boxes can be input using two signatures.

The first signature expects users to supply the sample values in the y data array for vertical boxes x for horizontal boxes. By supplying an x y array, one box per distinct x y value is drawn If no x y list is provided, a single box is drawn. In this case, the box is positioned with the trace name or with x0 y0 if provided.

The second signature expects users to supply the boxes corresponding Q1, median and Q3 statistics in the q1 , median and q3 data arrays respectively. Other box features relying on statistics namely lowerfence , upperfence , notchspan can be set directly by the users. To have plotly compute them or to show sample points besides the boxes, users can set the y data array for vertical boxes x for horizontal boxes to a 2D array with the outer length corresponding to the number of boxes in the traces and the inner length corresponding the sample size.

Defaults to True when mean is set. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. If 0, the sample points align along the distribution axis. If 1, the sample points are drawn in a random jitter of width equal to the width of the box es. Line instance or dict with compatible properties. There should be as many items as the number of boxes desired.

If lowerfence is not provided but a sample in y or x is set, we compute the lower as the last sample point below 1. If mean is not provided but a sample in y or x is set, we compute the mean for each box using the sample values. For box traces, the name will also be used for the position coordinate, if x and x0 y and y0 if horizontal are missing and the position axis is categorical.

Notches displays a confidence interval around the median. Defaults to False unless notchwidth or notchspan is set. If notchspan is not provided but a sample in y or x is set, we compute it as 1. For example, with 0, the notches are as wide as the box es. If 0, the sample points are places over the center of the box es. Positive negative values correspond to positions to the right left for vertical boxes and above below for horizontal boxes. If sd is not provided but a sample in y or x is set, we compute the standard deviation for each box using the sample values.

If upperfence is not provided but a sample in y or x is set, we compute the lower as the last sample point above 1. For example, with 1, the whiskers are as wide as the box es. See overview for more info. The candlestick is a style of financial chart describing open, high, low and close for a given x coordinate most likely time. The boxes represent the spread between the open and close values and the lines represent the spread between the low and high values Sample points where the close value is higher lower then the open value are called increasing decreasing.

By default, increasing candles are drawn in green whereas decreasing are drawn in red. Decreasing instance or dict with compatible properties. Increasing instance or dict with compatible properties. Legendgrouptit le instance or dict with compatible properties. The data describing carpet axis layout is set in y and optionally also x. If only y is present, x the plot is interpreted as a cheater plot and is filled in using the y values.

Builds a linear space of a coordinates. Use with da where a0 is the starting coordinate and da the step. Aaxis instance or dict with compatible properties. Use with db where b0 is the starting coordinate and db the step. Baxis instance or dict with compatible properties.

Only used if x is been omitted. Grid color is lightened by blending this with the plot background Individual pieces can override this. See a0 for more info. See b0 for more info. If omitted, the plot is a cheater plot and the xaxis is hidden by default. The data that describes the choropleth value-to-color mapping is set in z.

The geographic locations corresponding to each value in z are set in locations. In case colorscale is unspecified or autocolorscale is true, the default palette will be chosen according to whether numbers in the color array are all positive, all negative or mixed. Settings for these shared color axes are set in the layout, under layout. Note that multiple color scales can be linked to the same color axis. ColorBar instance or dict with compatible properties. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string.

At minimum, a mapping for the lowest 0 and highest 1 values are required. For example, [[0, 'rgb 0,0, '], [1, 'rgb ,0,0 ']]. Only has an effect when geojson is set. If not given, the features on the base map are used. Legendgrouptitl e instance or dict with compatible properties. See locationmode for more info. If true, zmin will correspond to the last color in the array and zmax will correspond to the first color. Value should have the same units as in z and if set, zmin must be set as well.

Value should have the same units as in z. Has no effect when zauto is false. Value should have the same units as in z and if set, zmax must be set as well. GeoJSON features to be filled are set in geojson The data that describes the choropleth value-to-color mapping is set in locations and z.

By default, choroplethmapbox traces are placed above the water layers. Hoverlabe l instance or dict with compatible properties. Legendgro uptitle instance or dict with compatible properties. Unselecte d instance or dict with compatible properties. Use cone traces to visualize vector fields.

Specify a vector field using 6 1D arrays, 3 position arrays x , y and z and 3 vector component arrays u , v , w. The cones are drawn exactly at the positions given by x , y and z. Has no effect when cauto is false. Lighting instance or dict with compatible properties. Lightposition instance or dict with compatible properties. Please note that in the case of using high opacity values for example a value greater than or equal to 0. This behavior may be improved in the near future and is subject to change.

If true, cmin will correspond to the last color in the array and cmax will correspond to the first color. All cones in a given trace use the same factor. By default the values are formatted using generic number format. The data from which contour lines are computed is set in z. Data in z must be a 2D list of numbers. Say that z has N rows and M columns, then by default, these N rows correspond to N y coordinates set in y or auto-generated and the M columns correspond to M x coordinates set in x or auto- generated.

By setting transpose to True, the above behavior is flipped. If True, the number of contour levels can be set in ncontours. If False, set the contour level attributes in contours. It is defaulted to true if z is a one dimensional array otherwise it is defaulted to false. Contours instance or dict with compatible properties.

The actual number of contours will be chosen automatically to be less than or equal to the value of ncontours. Has an effect only if autocontour is True or if contours. Sets the text font. Template string used for rendering the information text that appear on points. Plots contours on either the first carpet axis or the carpet axis with a matching carpet attribute. Data z is interpreted as matching that of the corresponding carpet axis.

Legendgroupt itle instance or dict with compatible properties. Draws a bivariate kernel density estimation with a Gaussian kernel from lon and lat coordinates and optional z values using a colorscale. Increasing the value makes the densitymapbox trace smoother, but less detailed. For example, a value of 10 would be equivalent to having 10 points of weight 1 in the same spot. Visualize stages in a process using length-encoded bars. Connector instance or dict with compatible properties.

Visualize stages in a process using area-encoded trapezoids. See label0 for more info. Domain instance or dict with compatible properties. If a single string, the same string appears for all data points. Builds a numeric set of labels. Use with dlabel where label0 is the starting label and dlabel the step. If labels entries are duplicated, we sum associated values or simply count occurrences if values is not provided.

For other array attributes including color we use the first non-empty entry among all occurrences of the label. If omitted, we count occurrences of each label. The data that describes the heatmap value-to-color mapping is set in z. Data in z can either be a 2D list of values ragged or not or a 1D array of values. In the case where z is a 2D list, say that z has N rows and M columns.

Then, by default, the resulting heatmap will have N partitions along the y axis and M partitions along the x axis. This behavior can be flipped by using transpose. If M N , then the coordinates correspond to the center of the heatmap cells and the cells have equal width. In the case where z is a 1D list, the x and y coordinates must be provided in x and y respectively to form data triplets. It is defaulted to true if z is a one dimensional array and zsmooth is not false; otherwise it is defaulted to false.

WebGL version of the heatmap trace type. The sample data from which statistics are computed is set in x for vertically spanning histograms and in y for horizontally spanning histograms. Binning options are set xbins and ybins respectively if no aggregation data is provided. However, we accept autobinx: true or false and will update xbins accordingly before deleting autobinx from the trace. However, we accept autobiny: true or false and will update ybins accordingly before deleting autobiny from the trace.

Cumulative instance or dict with compatible properties. If probability density , the area of each bar corresponds to the probability that an event will fall into the corresponding bin here, the sum of all bin AREAS equals 1. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data.

Ignored if xbins. Ignored if ybins. XBins instance or dict with compatible properties. YBins instance or dict with compatible properties. The sample data from which statistics are computed is set in x and y where x and y represent marginal distributions, binning is set in xbins and ybins in this case or z where z represent the 2D distribution and binning set, binning is set by x and y in this case. The resulting distribution is visualized as a heatmap.

Using xbingroup , histogram2d and histogram2dcontour traces on axes of the same axis type can have compatible x-bin settings. Note that the same xbingroup value can be used to set 1D histogram bingroup. Using ybingroup , histogram2d and histogram2dcontour traces on axes of the same axis type can have compatible y-bin settings. Note that the same ybingroup value can be used to set 1D histogram bingroup.

The resulting distribution is visualized as a contour plot. ColorBa r instance or dict with compatible properties. Contour s instance or dict with compatible properties. Hoverla bel instance or dict with compatible properties. Legendg rouptitle instance or dict with compatible properties.

If both row and col are None, addresses the first subplot if subplots exist, or the only plot.