[Seaborn] 5. Matrix plots

heatmap（ Heat map ）
Using the thermodynamic diagram, we can see the similarity of multiple features in the data table , Similar to color matrix . The specific parameters are as follows ：

seaborn.heatmap(data, vmin=None, vmax=None, cmap=None, center=None, 
                robust=False, annot=None, fmt='.2g', annot_kws=None, 
                linewidths=0, linecolor='white', cbar=True, cbar_kws=None, 
                cbar_ax=None, square=False, xticklabels='auto', 
                yticklabels='auto', mask=None, ax=None, **kwargs)

• data： Matrix data sets , You can make numpy Array of （array）, If it is pandas Of dataframe, be df Of index/column The information will correspond to heatmap Of columns and rows;
• vmax,vmin： The display values of the maximum and minimum values in the legend , If there is no such parameter, it will not be displayed by default ;
• cmap： Mapping from numbers to color space , The value is matplotlib In the bag colormap Name or color object , Or a list of colors ;
• center： When the data table values are different , Set the color center alignment value of the thermal map . By setting center value , You can adjust the overall color of the generated image ; Set up center Data time , If there is data overflow , Manually set vmax、vmin Will change automatically ;
• robust： The default value False; If it is False, And it's not set vmin and vmax Value , The color mapping range of the thermal map is set according to the quantile with robustness , Instead of using extreme values ;
• annot(annotate Abbreviation )： The default value False; If it is True, Write data in each square of the thermal diagram ; If it's a matrix , Write the corresponding position data of the matrix in each square of the thermodynamic diagram ;
• fmt： String format code , The data format for identifying numbers on a matrix , For example, keep a few digits after the decimal point ;
• annot_kws: The default value False; If it is True, Set the size, color and font of the numbers on the thermal chart matrix ;
• square: Set the block shape of the heat map matrix , The default value is False;
• xticklabels, yticklabels: Control the output of each row column signature . The default value is auto, Automatically select the dimension spacing of the label , The non overlapping part of the tag name ( Or all ) Output . If it is True, with DataFrame Use the column name of as the tag name ;
• mask: Controls whether a matrix block is displayed . The default value is None. If it's Boolean DataFrame, Will DataFrame in True Cover the position with white .

5.2 clustermap（ Clustering graph ）
clustermap() Matrix datasets can be plotted as hierarchical clustering heat maps . The specific parameters are as follows ：

seaborn.clustermap(data, pivot_kws=None, method='average', metric='euclidean', 
                   z_score=None, standard_scale=None, figsize=None, 
                   cbar_kws=None, row_cluster=True, col_cluster=True, 
                   row_linkage=None, col_linkage=None, row_colors=None, 
                   col_colors=None, mask=None, **kwargs))