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{
"scatter": {
"name": "Scatter",
"obj_type": "dictionary",
"parent_keys": [],
"docstring": "A dictionary-like object for representing a scatter trace in plotly.",
"examples": [
"py.plot([Scatter(name='tacters', x=[1,4,2,3], y=[1,6,2,1])])"
],
"links": [
"https://plot.ly/python/line-and-scatter/",
"https://plot.ly/python/bubble-charts/",
"https://plot.ly/python/filled-area-plots/",
"https://plot.ly/python/time-series/"
],
"keymeta": {
"x": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when 'y','r' and 't' are unset",
"description": "Sets the x coordinates of the points of this scatter trace. If 'x' is linked to a list or 1d numpy array of strings, then the x coordinates are integers, 0, 1, 2, 3, ..., labeled on the x-axis by the list or 1d numpy array of strings linked to 'x'.",
"streamable": true
},
"y": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when 'x','r' and 't' are unset",
"description": "Sets the y coordinates of the points of this scatter trace. If 'y' is linked to a list or 1d numpy array of strings, then the y coordinates are integers, 0, 1, 2, 3, ..., labeled on the y-axis by the list or 1d numpy array of strings linked to 'y'.",
"streamable": true
},
"r": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers",
"required": " when making a Polar Chart",
"description": "For Polar charts only. Sets the radial coordinates of the points in this polar scatter trace about the origin.",
"streamable": true
},
"t": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when making a Polar Chart",
"description": "For Polar charts only. Sets the angular coordinates of the points in this polar scatter trace. By default, the angular coordinates are in degrees (0 to 360) where the angles are measured clockwise about the right-hand side of the origin. To change this behavior, modify 'range' in 'angularaxis' or/and 'direction' in 'layout'. If 't' is linked to a list or 1d numpy array of strings, then the angular coordinates are 0, 360\\N, 2*360/N, ... where N is the number of coordinates given labeled by the list or 1d numpy array of strings linked to 't'.",
"streamable": true
},
"mode": {
"key_type": "plot_info",
"val_types": "'lines' | 'markers' | 'text' | 'lines+markers' | 'lines+text' | 'markers+text' | 'lines+markers+text'",
"required": false,
"description": "Plotting mode for this scatter trace. If the mode includes 'text' then the 'text' will appear at the (x,y) points, otherwise it will appear on hover."
},
"name": {
"key_type": "data",
"val_types": "a string",
"required": false,
"description": "The label associated with this trace. This name will appear in the legend, on hover and in the column header in the online spreadsheet."
},
"text": {
"key_type": "data",
"val_types": "list or 1d numpy array of strings",
"required": false,
"description": "The text elements associated with each (x,y) pair in this scatter trace. If the scatter 'mode' does not include 'text' then elements linked to 'text' will appear on hover only. In contrast, if 'text' is included in 'mode', the elements in 'text' will be rendered on the plot at the locations specified in part by their corresponding (x,y) coordinate pair and the 'textposition' key.",
"streamable": true
},
"error_y": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object describing the vertical error bars (i.e. along the y-axis) that can be drawn from the (x,y) coordinates of this scatter trace.",
"streamable": true
},
"error_x": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object describing the horizontal error bars (i.e. along the x-axis) that can be drawn from the (x,y) coordinates of this scatter trace.",
"streamable": true
},
"marker": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object containing marker style parameters for this scatter trace. Has an effect only if 'mode' contains 'markers'.",
"streamable": true
},
"line": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object containing line parameters for this scatter trace. Has an effect only if 'mode' contains 'lines'.",
"streamable": true
},
"textposition": {
"key_type": "style",
"val_types": "'top left' | 'top' (or 'top center')| 'top right' | 'left' (or 'middle left') | '' (or 'middle center') | 'right' (or 'middle right') | 'bottom left' | 'bottom' (or 'bottom center') | 'bottom right'",
"required": false,
"description": "Sets the position of the text elements in the 'text' key with respect to the data points. By default, the text elements are plotted directly at the (x,y) coordinates."
},
"textfont": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object describing the font style of this scatter trace's text elements. Has only an effect if 'mode' is set and includes 'text'."
},
"connectgaps": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not missing data points (i.e. '' or numpy.nan) linked to 'x' and/or 'y', are added in by Plotly using linear interpolation."
},
"fill": {
"key_type": "plot_info",
"val_types": "'none' | 'tozeroy' | 'tonexty' | 'tozerox' | 'tonextx",
"required": false,
"description": "Use to make area-style charts. Determines which area to fill with a solid color.By default, the area will appear in a more-transparent shape of the line color (or of the marker color if 'mode' does not contains 'lines')."
},
"fillcolor": {
"key_type": "style",
"val_types": "a string describing color",
"required": false,
"description": "Sets the color that will appear in the specified fill area (set in 'fill'). Has no effect if 'fill' is set to 'none'.",
"examples": [
"'green'",
"'rgb(0, 255, 0)'",
"'rgba(0, 255, 0, 0.3)'",
"'hsl(120,100%,50%)'",
"'hsla(120,100%,50%,0.3)'",
"'#434F1D'"
]
},
"opacity": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the opacity, or transparency, of the entire object, also known as the alpha channel of colors. If the object's color is given in terms of 'rgba' color model, 'opacity' is redundant."
},
"xaxis": {
"key_type": "plot_info",
"val_types": "'x1' | 'x2' | 'x3' | etc.",
"required": false,
"description": "This key determines which x-axis the x-coordinates of this trace will reference in the figure. Values 'x1' and 'x' reference to 'xaxis' in 'layout', 'x2' references to 'xaxis2' in 'layout', and so on. Note that 'x1' will always refer to 'xaxis' or 'xaxis1' in 'layout', they are the same."
},
"yaxis": {
"key_type": "plot_info",
"val_types": "'y1' | 'y2' | 'y3' | etc.",
"required": false,
"description": "This key determines which y-axis the y-coordinates of this trace will reference in the figure. Values 'y1' and 'y' reference to 'yaxis' in 'layout', 'y2' references to 'yaxis2' in 'layout', and so on. Note that 'y1' will always refer to 'yaxis' or 'yaxis1' in 'layout', they are the same."
},
"showlegend": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not this trace will be labeled in the legend."
},
"stream": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object that initializes this trace as a writable-stream, for use with the streaming API."
},
"visible": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggles whether or not this object will be visible on the rendered figure."
},
"xsrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": " when 'y','r' and 't' are unset",
"description": "Sets the x coordinates of the points of this scatter trace. If 'x' is linked to a list or 1d numpy array of strings, then the x coordinates are integers, 0, 1, 2, 3, ..., labeled on the x-axis by the list or 1d numpy array of strings linked to 'x'.",
"streamable": true
},
"ysrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": " when 'x','r' and 't' are unset",
"description": "Sets the y coordinates of the points of this scatter trace. If 'y' is linked to a list or 1d numpy array of strings, then the y coordinates are integers, 0, 1, 2, 3, ..., labeled on the y-axis by the list or 1d numpy array of strings linked to 'y'.",
"streamable": true
},
"type": {
"key_type": "plot_info",
"val_types": "'scatter'",
"required": false,
"description": "Plotly identifier for this data's trace type. "
}
}
},
"bar": {
"name": "Bar",
"obj_type": "dictionary",
"parent_keys": [],
"docstring": "A dictionary-like object for representing a bar trace in plotly.",
"examples": [
"py.plot([Bar(x=['yesterday', 'today', 'tomorrow'], y=[5, 4, 10])])"
],
"links": [
"https://plot.ly/python/bar-charts/"
],
"keymeta": {
"x": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when 'y' is unset",
"description": "Sets the x coordinates of the bars. If 'x' is linked to a list or 1d numpy array of strings, then the x coordinates are integers, 0, 1, 2, 3, ..., labeled on the x-axis by the list or 1d numpy array of strings linked to 'x'. If 'y' is not set, the bars are plotted horizontally, with their length determined by the list or 1d numpy array linked to 'x'.",
"streamable": true
},
"y": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when 'x' is unset",
"description": "Sets the y coordinates of the bars. If 'y' is linked to a list or 1d numpy array of strings, then the y coordinates are integers, 0, 1, 2, 3, ..., labeled on the y-axis by the list or 1d numpy array of strings linked to 'y'. If 'x' is not set, the bars are plotted vertically, with their length determined by the list or 1d numpy array linked to 'y'.",
"streamable": true
},
"name": {
"key_type": "data",
"val_types": "a string",
"required": false,
"description": "The label associated with this trace. This name will appear in the legend, on hover and in the column header in the online spreadsheet."
},
"orientation": {
"key_type": "plot_info",
"val_types": "'v' | 'h'",
"required": false,
"description": "Sets the orientation of the bars. If set to 'v', the length of each bar will run vertically. If set to 'h', the length of each bar will run horizontally"
},
"text": {
"key_type": "data",
"val_types": "list or 1d numpy array of strings",
"required": false,
"description": "The text elements associated with each bar in this trace. The entries in 'text' will appear on hover only, in a text box located at the top of each bar.",
"streamable": true
},
"error_y": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object describing the vertical error bars (i.e. along the y-axis) that can be drawn from bar tops.",
"streamable": true
},
"error_x": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object describing the horizontal error bars (i.e. along the x-axis) that can be drawn from bar tops.",
"streamable": true
},
"marker": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object containing marker style parameters for this bar trace, for example, the bars' fill color, border width and border color.",
"streamable": true
},
"opacity": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the opacity, or transparency, of the entire object, also known as the alpha channel of colors. If the object's color is given in terms of 'rgba' color model, 'opacity' is redundant."
},
"xaxis": {
"key_type": "plot_info",
"val_types": "'x1' | 'x2' | 'x3' | etc.",
"required": false,
"description": "This key determines which x-axis the x-coordinates of this trace will reference in the figure. Values 'x1' and 'x' reference to 'xaxis' in 'layout', 'x2' references to 'xaxis2' in 'layout', and so on. Note that 'x1' will always refer to 'xaxis' or 'xaxis1' in 'layout', they are the same."
},
"yaxis": {
"key_type": "plot_info",
"val_types": "'y1' | 'y2' | 'y3' | etc.",
"required": false,
"description": "This key determines which y-axis the y-coordinates of this trace will reference in the figure. Values 'y1' and 'y' reference to 'yaxis' in 'layout', 'y2' references to 'yaxis2' in 'layout', and so on. Note that 'y1' will always refer to 'yaxis' or 'yaxis1' in 'layout', they are the same."
},
"showlegend": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not this trace will be labeled in the legend."
},
"stream": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object that initializes this trace as a writable-stream, for use with the streaming API."
},
"visible": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggles whether or not this object will be visible on the rendered figure."
},
"xsrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": " when 'y' is unset",
"description": "Sets the x coordinates of the bars. If 'x' is linked to a list or 1d numpy array of strings, then the x coordinates are integers, 0, 1, 2, 3, ..., labeled on the x-axis by the list or 1d numpy array of strings linked to 'x'. If 'y' is not set, the bars are plotted horizontally, with their length determined by the list or 1d numpy array linked to 'x'.",
"streamable": true
},
"ysrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": " when 'x' is unset",
"description": "Sets the y coordinates of the bars. If 'y' is linked to a list or 1d numpy array of strings, then the y coordinates are integers, 0, 1, 2, 3, ..., labeled on the y-axis by the list or 1d numpy array of strings linked to 'y'. If 'x' is not set, the bars are plotted vertically, with their length determined by the list or 1d numpy array linked to 'y'.",
"streamable": true
},
"r": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers",
"required": " when making a Polar Chart",
"description": "For Polar charts only. Sets the radial coordinates of the bars in this polar bar trace about the original; that is, the radial extent of each bar.",
"streamable": true
},
"t": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when making a Polar Chart",
"description": "For Polar charts only. Sets the angular coordinates of the bars in this polar bar trace. By default, the angular coordinates are in degrees (0 to 360) where the angles are measured clockwise about the right-hand side of the origin. To change this behavior, modify 'range' in 'angularaxis' or/and 'direction' in 'layout'. If 't' is linked to a list or 1d numpy array of strings, then the angular coordinates are 0, 360\\N, 2*360/N, ... where N is the number of coordinates given labeled by the list or 1d numpy array of strings linked to 't'.",
"streamable": true
},
"type": {
"key_type": "plot_info",
"val_types": "'bar'",
"required": false,
"description": "Plotly identifier for this data's trace type. "
}
}
},
"histogram": {
"name": "Histogram",
"obj_type": "dictionary",
"parent_keys": [],
"docstring": "A dictionary-like object for representing a histogram trace in plotly.",
"examples": [
"py.plot([Histogram(x=[1,1,2,3,2,3,3])]) # bins along x-axis",
"py.plot([Histogram(y=[1,1,2,3,2,3,3])]) # bins along y-axis"
],
"links": [
"https://plot.ly/python/histograms/"
],
"keymeta": {
"x": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when 'y' is unset",
"description": "Sets the data sample to be binned (done by Plotly) on the x-axis and plotted as vertical bars.",
"streamable": true
},
"y": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": " when 'x' is unset",
"description": "Sets the data sample to be binned (done by Plotly) on the y-axis and plotted as horizontal bars.",
"streamable": true
},
"histnorm": {
"key_type": "style",
"val_types": "'' | 'percent' | 'probability' | 'density' | 'probability density'",
"required": false,
"description": "Sets the type of normalization for this histogram trace. By default ('histnorm' set to '') the height of each bar displays the frequency of occurrence, i.e., the number of times this value was found in the corresponding bin. If set to 'percent', the height of each bar displays the percentage of total occurrences found within the corresponding bin. If set to 'probability', the height of each bar displays the probability that an event will fall into the corresponding bin. If set to 'density', the height of each bar is equal to the number of occurrences in a bin divided by the size of the bin interval such that summing the area of all bins will yield the total number of occurrences. If set to 'probability density', the height of each bar is equal to the number of probability that an event will fall into the corresponding bin divided by the size of the bin interval such that summing the area of all bins will yield 1."
},
"histfunc": {
"key_type": "style",
"val_types": "'count' | 'sum' | 'avg' | 'min' | 'max'",
"required": false,
"description": "Sets the binning function used for this histogram trace. The default value is 'count' where the histogram values are computed by counting the number of values lying inside each bin. With 'histfunc' set to 'sum', 'avg', 'min' or 'max', the histogram values are computed using the sum, the average, the minimum or the 'maximum' of the values lying inside each bin respectively."
},
"name": {
"key_type": "data",
"val_types": "a string",
"required": false,
"description": "The label associated with this trace. This name will appear in the legend, on hover and in the column header in the online spreadsheet."
},
"orientation": {
"key_type": "plot_info",
"val_types": "'v' | 'h'",
"required": false,
"description": "Sets the orientation of the bars. If set to 'v', the length of each bar will run vertically. If set to 'h', the length of each bar will run horizontally"
},
"autobinx": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the x-axis bin parameters are picked automatically by Plotly. Once 'autobinx' is set to False, the x-axis bins parameters can be declared in 'xbins' object."
},
"nbinsx": {
"key_type": "style",
"val_types": "number: x > 0",
"required": false,
"description": "Specifies the number of x-axis bins. No need to set 'autobinx' to False for 'nbinsx' to apply."
},
"xbins": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object defining the parameters of x-axis bins of this trace, for example, the bin width and the bins' starting and ending value. Has an effect only if 'autobinx' is set to False."
},
"autobiny": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the y-axis bin parameters are picked automatically by Plotly. Once 'autobiny' is set to False, the y-axis bins parameters can be declared in 'ybins' object."
},
"nbinsy": {
"key_type": "style",
"val_types": "number: x > 0",
"required": false,
"description": "Specifies the number of y-axis bins. No need to set 'autobiny' to False for 'nbinsy' to apply."
},
"ybins": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object defining the parameters of y-axis bins of this trace, for example, the bin width and the bins' starting and ending value. Has an effect only if 'autobiny' is set to False."
},
"text": {
"key_type": "data",
"val_types": "list or 1d numpy array of strings",
"required": false,
"description": "The text elements associated with each bar in this trace. The entries in 'text' will appear on hover only, in a text box located at the top of each bar.",
"streamable": true
},
"error_y": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object describing the vertical error bars (i.e. along the y-axis) that can be drawn from bar tops.",
"streamable": true
},
"error_x": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object describing the horizontal error bars (i.e. along the x-axis) that can be drawn from bar tops.",
"streamable": true
},
"marker": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object containing marker style parameters for this bar trace, for example, the bars' fill color, border width and border color.",
"streamable": true
},
"opacity": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the opacity, or transparency, of the entire object, also known as the alpha channel of colors. If the object's color is given in terms of 'rgba' color model, 'opacity' is redundant."
},
"xaxis": {
"key_type": "plot_info",
"val_types": "'x1' | 'x2' | 'x3' | etc.",
"required": false,
"description": "This key determines which x-axis the x-coordinates of this trace will reference in the figure. Values 'x1' and 'x' reference to 'xaxis' in 'layout', 'x2' references to 'xaxis2' in 'layout', and so on. Note that 'x1' will always refer to 'xaxis' or 'xaxis1' in 'layout', they are the same."
},
"yaxis": {
"key_type": "plot_info",
"val_types": "'y1' | 'y2' | 'y3' | etc.",
"required": false,
"description": "This key determines which y-axis the y-coordinates of this trace will reference in the figure. Values 'y1' and 'y' reference to 'yaxis' in 'layout', 'y2' references to 'yaxis2' in 'layout', and so on. Note that 'y1' will always refer to 'yaxis' or 'yaxis1' in 'layout', they are the same."
},
"showlegend": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not this trace will be labeled in the legend."
},
"stream": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object that initializes this trace as a writable-stream, for use with the streaming API."
},
"visible": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggles whether or not this object will be visible on the rendered figure."
},
"xsrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": " when 'y' is unset",
"description": "Sets the data sample to be binned (done by Plotly) on the x-axis and plotted as vertical bars.",
"streamable": true
},
"ysrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": " when 'x' is unset",
"description": "Sets the data sample to be binned (done by Plotly) on the y-axis and plotted as horizontal bars.",
"streamable": true
},
"type": {
"key_type": "plot_info",
"val_types": "'histogram'",
"required": false,
"description": "Plotly identifier for this data's trace type. "
}
}
},
"box": {
"name": "Box",
"obj_type": "dictionary",
"parent_keys": [],
"docstring": "A dictionary-like object for representing a box trace in plotly.",
"examples": [
"py.plot([Box(name='boxy', y=[1,3,9,2,4,2,3,5,2])])"
],
"links": [
"https://plot.ly/python/box-plots/"
],
"keymeta": {
"y": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": true,
"description": "This array is used to define an individual box plot, or, a concatenation of multiple box plots. Statistics from these numbers define the bounds of the box, the length of the whiskers, etc. For details on defining multiple boxes with locations see 'x'. Each box spans from the first quartile to the third. The second quartile is marked by a line inside the box. By default, the whiskers are correspond to box' edges +/- 1.5 times the interquartile range. See also 'boxpoints' for more info",
"streamable": true
},
"x0": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "The location of this box. When 'y' defines a single box, 'x0' can be used to set where this box is centered on the x-axis. If many boxes are set to appear at the same 'x0' location, they will form a box group."
},
"x": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": false,
"description": "Usually, you do not need to set this value as plotly will handle box locations for you. However this allows you to have fine control over the location data for the box. Unlike making a bar, a box plot is made of many y values. Therefore, to give location data to the values you place in 'y', the length of 'x' must equal the length of 'y'. when making multiple box plots, you can concatenate the data sets for each box into a single 'y' array. then, the entries in 'x' define which box plot each entry in 'y' belongs to. When making a single box plot, you must set each entry in 'x' to the same value, see 'x0' for a more practical way to handle this case. If you don't include 'x', the box will simply be assigned a location.",
"streamable": true
},
"name": {
"key_type": "data",
"val_types": "a string",
"required": false,
"description": "The label associated with this trace. This name will appear in the legend, on hover and in the column header in the online spreadsheet."
},
"boxmean": {
"key_type": "style",
"val_types": "False | True | 'sd'",
"required": false,
"description": "Choose between add-on features for this box trace. If True then the mean of the data linked to 'y' is shown as a dashed line in the box. If 'sd', then the standard deviation is also shown. If False (the default), then no line are shown."
},
"boxpoints": {
"key_type": "style",
"val_types": "'outliers' | 'all' | 'suspectedoutliers' | False",
"required": false,
"description": "Choose between boxpoints options for this box trace. If 'outliers' (the default), then only the points lying outside the box' whiskers (more info in 'y') are shown. If 'all', then all data points linked 'y' are shown. If 'suspectedoutliers', then outliers points are shown and points either less than 4*Q1-3*Q3 or greater than 4*Q3-3*Q1 are highlighted (with 'outliercolor' in Marker). If False, then only the boxes are shown and the whiskers correspond to the minimum and maximum value linked to 'y'."
},
"jitter": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the width of the jitter in the boxpoints scatter in this trace. Has an no effect if 'boxpoints' is set to False. If 0, then the boxpoints are aligned vertically. If 1 then the boxpoints are placed in a random horizontal jitter of width equal to the width of the boxes."
},
"pointpos": {
"key_type": "style",
"val_types": "number: x in [-2, 2]",
"required": false,
"description": "Sets the horizontal position of the boxpoints in relation to the boxes in this trace. Has an no effect if 'boxpoints' is set to False. If 0, then the boxpoints are placed over the center of each box. If 1 (-1), then the boxpoints are placed on the right (left) each box border. If 2 (-2), then the boxpoints are placed 1 one box width to right (left) of each box. "
},
"whiskerwidth": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the width of the whisker of the box relative to the box' width (in normalized coordinates, e.g. if 'whiskerwidth' set 1, then the whiskers are as wide as the box."
},
"fillcolor": {
"key_type": "style",
"val_types": "a string describing color",
"required": false,
"description": "Sets the color of the box interior.",
"examples": [
"'green'",
"'rgb(0, 255, 0)'",
"'rgba(0, 255, 0, 0.3)'",
"'hsl(120,100%,50%)'",
"'hsla(120,100%,50%,0.3)'",
"'#434F1D'"
]
},
"marker": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object containing marker style parameters for this the boxpoints of box trace. Has an effect only 'boxpoints' is set to 'outliers', 'suspectedoutliers' or 'all'.",
"streamable": true
},
"line": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object containing line parameters for the border of this box trace (including the whiskers).",
"streamable": true
},
"opacity": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the opacity, or transparency, of the entire object, also known as the alpha channel of colors. If the object's color is given in terms of 'rgba' color model, 'opacity' is redundant."
},
"xaxis": {
"key_type": "plot_info",
"val_types": "'x1' | 'x2' | 'x3' | etc.",
"required": false,
"description": "This key determines which x-axis the x-coordinates of this trace will reference in the figure. Values 'x1' and 'x' reference to 'xaxis' in 'layout', 'x2' references to 'xaxis2' in 'layout', and so on. Note that 'x1' will always refer to 'xaxis' or 'xaxis1' in 'layout', they are the same."
},
"yaxis": {
"key_type": "plot_info",
"val_types": "'y1' | 'y2' | 'y3' | etc.",
"required": false,
"description": "This key determines which y-axis the y-coordinates of this trace will reference in the figure. Values 'y1' and 'y' reference to 'yaxis' in 'layout', 'y2' references to 'yaxis2' in 'layout', and so on. Note that 'y1' will always refer to 'yaxis' or 'yaxis1' in 'layout', they are the same."
},
"showlegend": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not this trace will be labeled in the legend."
},
"stream": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object that initializes this trace as a writable-stream, for use with the streaming API."
},
"visible": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggles whether or not this object will be visible on the rendered figure."
},
"xsrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": false,
"description": "Usually, you do not need to set this value as plotly will handle box locations for you. However this allows you to have fine control over the location data for the box. Unlike making a bar, a box plot is made of many y values. Therefore, to give location data to the values you place in 'y', the length of 'x' must equal the length of 'y'. when making multiple box plots, you can concatenate the data sets for each box into a single 'y' array. then, the entries in 'x' define which box plot each entry in 'y' belongs to. When making a single box plot, you must set each entry in 'x' to the same value, see 'x0' for a more practical way to handle this case. If you don't include 'x', the box will simply be assigned a location.",
"streamable": true
},
"ysrc": {
"key_type": "data",
"val_types": "a string equal to the unique identifier of a plotly grid column",
"required": true,
"description": "This array is used to define an individual box plot, or, a concatenation of multiple box plots. Statistics from these numbers define the bounds of the box, the length of the whiskers, etc. For details on defining multiple boxes with locations see 'x'. Each box spans from the first quartile to the third. The second quartile is marked by a line inside the box. By default, the whiskers are correspond to box' edges +/- 1.5 times the interquartile range. See also 'boxpoints' for more info",
"streamable": true
},
"type": {
"key_type": "plot_info",
"val_types": "'box'",
"required": false,
"description": "Plotly identifier for this data's trace type. "
}
}
},
"heatmap": {
"name": "Heatmap",
"obj_type": "dictionary",
"parent_keys": [],
"docstring": "A dictionary-like object for representing a heatmap trace in plotly.",
"examples": [
"z = [[0, 1, 0, 1, 0], [1, 0, 1, 0, 1], [0, 1, 0, 1, 0]]",
"y = ['a', 'b', 'c']",
"x = [1, 2, 3, 4, 5]py.plot([Contour(z=z, x=x, y=y)])"
],
"links": [
"https://plot.ly/python/heatmaps/"
],
"keymeta": {
"z": {
"key_type": "data",
"val_types": "list of lists or 2d numpy array of numbers",
"required": true,
"description": "Sets the data that describes the heatmap mapping. Say the dimensions of the list of lists or 2d numpy array linked to 'z' has n rows and m columns then the resulting heatmap will show n partitions along the y-axis and m partitions along the x-axis. Therefore, the i-th row/ j-th column cell in the list of lists or 2d numpy array linked to 'z' is mapped to the i-th partition of the y-axis (starting from the bottom of the plot) and the j-th partition of the x-axis (starting from the left of the plot). ",
"streamable": true
},
"x": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": false,
"description": "Sets the horizontal coordinates referring to the columns of the list of lists or 2d numpy array linked to 'z'. If the 'z' is a list or 1d numpy array of strings, then the x-labels are spaced evenly. If the dimensions of the list of lists or 2d numpy array linked to 'z' are (n x m), the length of the 'x' array should equal m.",
"streamable": true
},
"y": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": false,
"description": "Sets the vertical coordinates referring to the rows of the list of lists or 2d numpy array linked to 'z'. If strings, the y-labels are spaced evenly. If the dimensions of the list of lists or 2d numpy array linked to 'z' are (n x m), the length of the 'y' array should equal n.",
"streamable": true
},
"name": {
"key_type": "data",
"val_types": "a string",
"required": false,
"description": "The label associated with this trace. This name will appear in the legend, on hover and in the column header in the online spreadsheet."
},
"zauto": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the default values of 'zmax' and 'zmax' can be overwritten."
},
"zmin": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Sets the minimum 'z' data value to be resolved by the color scale. Its default value is the minimum of the 'z' data values. This value will be used as the minimum in the color scale normalization. For more info see 'colorscale'."
},
"zmax": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Sets the maximum 'z' data value to be resolved by the color scale. Its default value is the maximum of the 'z' data values. This value will be used as the maximum in the color scale normalization. For more info see 'colorscale'."
},
"colorscale": {
"key_type": "plot_info",
"val_types": "list or 1d numpy array of value-color pairs | 'Greys' | 'Greens' | 'Bluered' | 'Hot' | 'Picnic' | 'Portland' | 'Jet' | 'RdBu' | 'Blackbody' | 'Earth' | 'Electric' | 'YIOrRd' | 'YIGnBu'",
"required": false,
"description": "Sets and/or defines the color scale for this trace. The string values are pre-defined color scales. For custom color scales, define a list or 1d numpy array of value-color pairs where, the first element of the pair corresponds to a normalized value of z from 0-1, i.e. (z-zmin)/ (zmax-zmin), and the second element of pair corresponds to a color. Use with 'zauto', 'zmin' and 'zmax to fine-tune the map from 'z' to rendered colors.",
"examples": [
"'Greys'",
"[[0, 'rgb(0,0,0)'], [0.5, 'rgb(65, 182, 196)'], [1, 'rgb(255,255,255)']]"
]
},
"reversescale": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the color scale will be reversed."
},
"showscale": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the color scale associated with this mapping will be shown alongside the figure."
},
"colorbar": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object defining the parameters of the color bar associated with this trace (including its title, length and width)."
},
"zsmooth": {
"key_type": "style",
"val_types": "False | 'best' | 'fast'",
"required": false,
"description": "Choose between algorithms ('best' or 'fast') to smooth data linked to 'z'. The default value is False corresponding to no smoothing."
},
"opacity": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the opacity, or transparency, of the entire object, also known as the alpha channel of colors. If the object's color is given in terms of 'rgba' color model, 'opacity' is redundant."
},
"xaxis": {
"key_type": "plot_info",
"val_types": "'x1' | 'x2' | 'x3' | etc.",
"required": false,
"description": "This key determines which x-axis the x-coordinates of this trace will reference in the figure. Values 'x1' and 'x' reference to 'xaxis' in 'layout', 'x2' references to 'xaxis2' in 'layout', and so on. Note that 'x1' will always refer to 'xaxis' or 'xaxis1' in 'layout', they are the same."
},
"yaxis": {
"key_type": "plot_info",
"val_types": "'y1' | 'y2' | 'y3' | etc.",
"required": false,
"description": "This key determines which y-axis the y-coordinates of this trace will reference in the figure. Values 'y1' and 'y' reference to 'yaxis' in 'layout', 'y2' references to 'yaxis2' in 'layout', and so on. Note that 'y1' will always refer to 'yaxis' or 'yaxis1' in 'layout', they are the same."
},
"showlegend": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not this trace will be labeled in the legend."
},
"stream": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object that initializes this trace as a writable-stream, for use with the streaming API."
},
"visible": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggles whether or not this object will be visible on the rendered figure."
},
"x0": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "The location of the first coordinate of the x-axis. Use with 'dx' an alternative to an 'x' list or 1d numpy array. Has no effect if 'x' is set."
},
"dx": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Spacing between x-axis coordinates. Use with 'x0' an alternative to an 'x' list or 1d numpy array. Has no effect if 'x' is set."
},
"y0": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "The location of the first coordinate of the y-axis. Use with 'dy' an alternative to an 'y' list or 1d numpy array. Has no effect if 'y' is set."
},
"dy": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Spacing between y-axis coordinates. Use with 'y0' an alternative to an 'y' list or 1d numpy array. Has no effect if 'y' is set."
},
"xtype": {
"key_type": "plot_info",
"val_types": "'array' | 'scaled'",
"required": false,
"description": "If set to 'scaled' and 'x' is linked to a list or 1d numpy array, then the horizontal labels are scaled to a list or 1d numpy array of integers of unit step starting from 0."
},
"ytype": {
"key_type": "plot_info",
"val_types": "'array' | 'scaled'",
"required": false,
"description": "If set to 'scaled' and 'y' is linked to a list or 1d numpy array, then the vertical labels are scaled to a list or 1d numpy array of integers of unit step starting from 0."
},
"type": {
"key_type": "plot_info",
"val_types": "'heatmap'",
"required": false,
"description": "Plotly identifier for this data's trace type. "
}
}
},
"contour": {
"name": "Contour",
"obj_type": "dictionary",
"parent_keys": [],
"docstring": "A dictionary-like object for representing a contour trace in plotly.",
"examples": [
"z = [[0, 1, 0, 1, 0], [1, 0, 1, 0, 1], [0, 1, 0, 1, 0]]",
"y = ['a', 'b', 'c']",
"x = [1, 2, 3, 4, 5]py.plot([Contour(z=z, x=x, y=y)])"
],
"links": [
"https://plot.ly/python/contour-plots/"
],
"keymeta": {
"z": {
"key_type": "data",
"val_types": "list of lists or 2d numpy array of numbers",
"required": true,
"description": "Sets the data that describes the contour map mapping. Say the dimensions of the list of lists or 2d numpy array linked to 'z' has n rows and m columns then the resulting contour map will show n partitions along the y-axis and m partitions along the x-axis. Therefore, the i-th row/ j-th column cell in the list of lists or 2d numpy array linked to 'z' is mapped to the i-th partition of the y-axis (starting from the bottom of the plot) and the j-th partition of the x-axis (starting from the left of the plot). ",
"streamable": true
},
"x": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": false,
"description": "Sets the horizontal coordinates referring to the columns of the list of lists or 2d numpy array linked to 'z'. If the 'z' is a list or 1d numpy array of strings, then the x-labels are spaced evenly. If the dimensions of the list of lists or 2d numpy array linked to 'z' are (n x m), the length of the 'x' array should equal m.",
"streamable": true
},
"y": {
"key_type": "data",
"val_types": "list or 1d numpy array of numbers, strings, datetimes",
"required": false,
"description": "Sets the vertical coordinates referring to the rows of the list of lists or 2d numpy array linked to 'z'. If strings, the y-labels are spaced evenly. If the dimensions of the list of lists or 2d numpy array linked to 'z' are (n x m), the length of the 'y' array should equal n.",
"streamable": true
},
"name": {
"key_type": "data",
"val_types": "a string",
"required": false,
"description": "The label associated with this trace. This name will appear in the legend, on hover and in the column header in the online spreadsheet."
},
"zauto": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the default values of 'zmax' and 'zmax' can be overwritten."
},
"zmin": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Sets the minimum 'z' data value to be resolved by the color scale. Its default value is the minimum of the 'z' data values. This value will be used as the minimum in the color scale normalization. For more info see 'colorscale'."
},
"zmax": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Sets the maximum 'z' data value to be resolved by the color scale. Its default value is the maximum of the 'z' data values. This value will be used as the maximum in the color scale normalization. For more info see 'colorscale'."
},
"autocontour": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the contour parameters are picked automatically by Plotly. If False, declare the contours parameters in 'contours'."
},
"ncontours": {
"key_type": "style",
"val_types": "number: x > 1",
"required": false,
"description": "Specifies the number of contours lines in the contour plot. No need to set 'autocontour' to False for 'ncontours' to apply."
},
"contours": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object defining the parameters of the contours of this trace."
},
"line": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object containing line parameters for contour lines of this contour trace (including line width, dash, color and smoothing level). Has no an effect if 'showlines' is set to False in 'contours'.",
"streamable": true
},
"colorscale": {
"key_type": "plot_info",
"val_types": "list or 1d numpy array of value-color pairs | 'Greys' | 'Greens' | 'Bluered' | 'Hot' | 'Picnic' | 'Portland' | 'Jet' | 'RdBu' | 'Blackbody' | 'Earth' | 'Electric' | 'YIOrRd' | 'YIGnBu'",
"required": false,
"description": "Sets and/or defines the color scale for this trace. The string values are pre-defined color scales. For custom color scales, define a list or 1d numpy array of value-color pairs where, the first element of the pair corresponds to a normalized value of z from 0-1, i.e. (z-zmin)/ (zmax-zmin), and the second element of pair corresponds to a color. Use with 'zauto', 'zmin' and 'zmax to fine-tune the map from 'z' to rendered colors.",
"examples": [
"'Greys'",
"[[0, 'rgb(0,0,0)'], [0.5, 'rgb(65, 182, 196)'], [1, 'rgb(255,255,255)']]"
]
},
"reversescale": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the color scale will be reversed."
},
"showscale": {
"key_type": "style",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not the color scale associated with this mapping will be shown alongside the figure."
},
"colorbar": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object defining the parameters of the color bar associated with this trace (including its title, length and width)."
},
"opacity": {
"key_type": "style",
"val_types": "number: x in [0, 1]",
"required": false,
"description": "Sets the opacity, or transparency, of the entire object, also known as the alpha channel of colors. If the object's color is given in terms of 'rgba' color model, 'opacity' is redundant."
},
"xaxis": {
"key_type": "plot_info",
"val_types": "'x1' | 'x2' | 'x3' | etc.",
"required": false,
"description": "This key determines which x-axis the x-coordinates of this trace will reference in the figure. Values 'x1' and 'x' reference to 'xaxis' in 'layout', 'x2' references to 'xaxis2' in 'layout', and so on. Note that 'x1' will always refer to 'xaxis' or 'xaxis1' in 'layout', they are the same."
},
"yaxis": {
"key_type": "plot_info",
"val_types": "'y1' | 'y2' | 'y3' | etc.",
"required": false,
"description": "This key determines which y-axis the y-coordinates of this trace will reference in the figure. Values 'y1' and 'y' reference to 'yaxis' in 'layout', 'y2' references to 'yaxis2' in 'layout', and so on. Note that 'y1' will always refer to 'yaxis' or 'yaxis1' in 'layout', they are the same."
},
"showlegend": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggle whether or not this trace will be labeled in the legend."
},
"stream": {
"key_type": "object",
"val_types": "dictionary-like object",
"required": false,
"description": "Links a dictionary-like object that initializes this trace as a writable-stream, for use with the streaming API."
},
"visible": {
"key_type": "plot_info",
"val_types": "a boolean: True | False",
"required": false,
"description": "Toggles whether or not this object will be visible on the rendered figure."
},
"x0": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "The location of the first coordinate of the x-axis. Use with 'dx' an alternative to an 'x' list or 1d numpy array. Has no effect if 'x' is set."
},
"dx": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Spacing between x-axis coordinates. Use with 'x0' an alternative to an 'x' list or 1d numpy array. Has no effect if 'x' is set."
},
"y0": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "The location of the first coordinate of the y-axis. Use with 'dy' an alternative to an 'y' list or 1d numpy array. Has no effect if 'y' is set."
},
"dy": {
"key_type": "plot_info",
"val_types": "number",
"required": false,
"description": "Spacing between y-axis coordinates. Use with 'y0' an alternative to an 'y' list or 1d numpy array. Has no effect if 'y' is set."
},
"xtype": {
"key_type": "plot_info",
"val_types": "'array' | 'scaled'",