Utk*_*ari2pythonboxplotpandasseaborn 我在python panda DataFrame 中有以下数据。我想要类似于https://stanford.edu/~mwaskom/software/seaborn/examples/grouped_boxplot.html中的分组箱线图 对于每个 id,我希望并排绘制两个箱形图。我该如何实现这一目标。我尝试用 seaborn 包绘制它,但没有成功。
Categorical scatterplots:(分类散点图) stripplot() (with kind="strip"; the default) (分布散点图) swarmplot() (with kind="swarm") (分布密度散点图) Categorical distribution plots: (分类分布图) boxplot() (with kind="box") (箱线图) violinplot() (with kind="violin") (小提琴图) boxenplo...
A legend in data visualization is a small box that exists in any one corner of the graph. It contains multiple color lines associated with text that represent certain types of elements of the plot. When multiple data reside in a graph, the indication in the legend represents which component ...
The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot(), kdeplot(), ecdfplot(), and rugplot(). They are grouped together within the figure-level displot(), jointplot(), and pairplot() functions… 分发模块包含几个...
.github ci doc examples licences seaborn _core _marks _stats colors external __init__.py _base.py _compat.py _docstrings.py _statistics.py _testing.py algorithms.py axisgrid.py categorical.py cm.py distributions.py matrix.py miscplot.py ...
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columns for col in data: try: data[col].astype(np.float) order.append(col) except ValueError: pass plot_data = data[order] group_names = order group_label = data.columns.name # Convert to a list of arrays, the common representation iter_data = plot_data.iteritems() plot_data = ...
continue # Draw a single box or a set of boxes # with a single level of grouping box_data = np.asarray(remove_na(group_data)) # Handle case where there is no non-null data if box_data.size == 0: continue artist_dict = ax.boxplot(box_data, vert=vert, patch_artist=True, posit...
[i] self.restyle_boxplot(artist_dict, color, props) else: # Draw nested groups of boxes offsets = self.hue_offsets for j, hue_level in enumerate(self.hue_names): # Add a legend for this hue level if not i: self.add_legend_data(ax, self.colors[j], hue_level) # Handle...