Here is a simple example of generating a scatterplot matrix in R using the GGally package. GGally provides the function ggpairs(), which does all the heavy lifting and makes it very easy to create a scatterplot matrix. The GGally package, an extension of the Ggplot2 package is a very useful tool to generate a scatterplot matrix in R. It is also very common to also display the correlation coefficient of each pair. Each panel shows the scatterplot for a pair of variables. When there are more than two variables and you would like to visualize the relationship between each variable with every other variable, rather than generating a separate graph for each pair of variables, a scatterplot matrix is a much better approach.Ī scatterplot matrix presents multiple scatterplots (multiple panels) in a single graph. Py.A scatterplot helps you visualize the relationship between two variables. # which correspond to actual color names in 'Colors' column # Create scatterplot matrix using a dictionary of hex color values New_column.append(random.choice(strange_colors))ĭf = pd.Series(new_column, index=df.index) Py.iplot(fig, filename = 'Scatterplot Matrix - Intervals')Įxample 6: Using the colormap as a Dictionary # Create scatterplot matrix using a list of 2 rgb tuplesĮndpts=, height=800, width=800) Py.iplot(fig, filename = 'Scatterplot Matrix - Colormap Theme')Įxample 5: Example 4 with Interval Factoring # Plotly palette scale and indexing column 'A'įig = create_scatterplotmatrix(df, diag='histogram', index='A', # Create scatterplot matrix using a built-in Py.iplot(fig, filename = 'Scatterplot Matrix - Diagonal Styling')Įxample 4: Use a Theme to Style the Subplotsĭf = pd.DataFrame(np.random.randn(100, 3), Py.iplot(fig, filename = 'Scatterplot Matrix with Index')ĭf = pd.DataFrame(np.random.randn(10, 4),įig = create_scatterplotmatrix(df, diag='box', index='Fruit', height=1000, 'grape', 'pear', 'pear', 'apple', 'pear'])įig = create_scatterplotmatrix(df, index='Fruit', size=10) # Add another column of strings to the dataframeĭf = pd.Series(['apple', 'apple', 'grape', 'apple', 'apple', Py.iplot(fig, filename='Vanilla Scatterplot Matrix') The only forbidden parameters are 'size', 'color' andįrom plotly.figure_factory import create_scatterplotmatrixĭf = pd.DataFrame(np.random.randn(10, 2), :param (dict) **kwargs: a dictionary of scatterplot arguments If 'cat' is selected, a color from colormap will be assigned toĮach category from index, including the intervals if endpts is Linearly interpolated between those two colors. 'seq' is selected, only the first two colors in colormap will beĬonsidered (when colormap is a list) and the index values will be Valid choices are 'seq' (sequential) and 'cat' (categorical). :param (str) colormap_type: determines how colormap is interpreted. In this case, theĬolormap_type is forced to 'cat' or categorical The index column must be a key in colormap. If colormap is a dictionary, all the string entries in If colormap is a list, it must contain valid color types as its Tuple of the form (a, b, c) where a, b and c belong to. X, y and z belong to the interval and a color tuple is a An rgb color is of the form 'rgb(x, y, z)' where :param (str|tuple|list|dict) colormap: either a plotly scale name,Īn rgb or hex color, a color tuple, a list of colors or aĭictionary. :param (str) title: the title label of the scatterplot matrix :param (float) size: sets the marker size (in px) :param (int|float) width: sets the width of the chart :param (int|float) height: sets the height of the chart The options are 'scatter', 'histogram' and 'box'. :param (str) diag: sets the chart type for the main diagonal plots. Interval and therefore can be treated as categorical data The entries in an index of numbers into their corresponding :param (list|tuple) endpts: takes an increasing sequece of numbers :param (str) index: name of the index column in data array :param (array) df: array of the data with column headers Help on function create_scatterplotmatrix in module plotly.figure_factory._scatterplot:Ĭreate_scatterplotmatrix(df, index=None, endpts=None, diag='scatter', height=500, width=500, size=6, title='Scatterplot Matrix', colormap=None, colormap_type='cat', dataframe=None, headers=None, index_vals=None, **kwargs)

Scatterplot matrix