![]() ![]() To plot multiple sets of coordinates on the same set of axes, specify at least one of x or y as a matrix. To plot one set of coordinates, specify x and y as vectors of equal length. update_layout ( title = title, dragmode = 'select', width = 1000, height = 1000, hovermode = 'closest' ) fig. Plot correlations between time series, which are variables in a table, using default options. Description Vector and Matrix Data example scatter (x,y) creates a scatter plot with circular markers at the locations specified by the vectors x and y. Splom ( dimensions = ), dict ( label = 'Glucose', values = dfd ), dict ( label = 'BloodPressure', values = dfd ), dict ( label = 'SkinThickness', values = dfd ), dict ( label = 'Insulin', values = dfd ), dict ( label = 'BMI', values = dfd ), dict ( label = 'DiabPedigreeFun', values = dfd ), dict ( label = 'Age', values = dfd )], marker = dict ( color = dfd, size = 5, colorscale = 'Bluered', line = dict ( width = 0.5, color = 'rgb(230,230,230)' )), text = textd, diagonal = dict ( visible = False ))) title = "Scatterplot Matrix (SPLOM) for Diabetes DatasetData source:" +\ Import aph_objs as go import pandas as pd dfd = pd. update_layout ( title = 'Iris Data set', dragmode = 'select', width = 600, height = 600, hovermode = 'closest', ) fig. ![]() Splom ( dimensions = ), dict ( label = 'sepal width', values = df ), dict ( label = 'petal length', values = df ), dict ( label = 'petal width', values = df )], text = df, marker = dict ( color = index_vals, showscale = False, # colors encode categorical variables line_color = 'white', line_width = 0.5 ) )) fig. # Define indices corresponding to flower categories, using pandas label encoding index_vals = df. The flowers are labeled as `Iris-setosa`, # `Iris-versicolor`, `Iris-virginica`. read_csv ( '' ) # The Iris dataset contains four data variables, sepal length, sepal width, petal length, # petal width, for 150 iris flowers. corrplot returns the output argument combination for the corresponding input arguments. Each individual in the data appears as a point on the graph. corrplot ( ,NameValue) specifies options using one or more name-value arguments in addition to any of the input argument combinations in previous syntaxes. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Import aph_objects as go import pandas as pd df = pd. scatterplot shows the relationship between two quantitative variables measured for the same individuals. ![]()
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