我在如何更改分組條的默認分組顏色

使用 OP 中參考的答案

for i, (gr, color) in enumerate(zip(subx, colors)): 允許將串列中的顏色分配給每個組。

def grouped_barplot(df, cat,subcat, val , err):
    u = df[cat].unique()
    x = np.arange(len(u))
    subx = df[subcat].unique()
    offsets = (np.arange(len(subx))-np.arange(len(subx)).mean())/(len(subx) 1.)
    width= np.diff(offsets).mean()

    colors = ['black', 'red', 'green', 'blue', 'cyan','brown','grey','goldenrod','lime','violet','indigo','coral','olive']
    
    # add the colors to the loop
    for i, (gr, color) in enumerate(zip(subx, colors)):
        dfg = df[df[subcat].eq(gr)]
        plt.bar(x offsets[i], dfg[val], width=width, yerr=dfg[err], color=color, label=gr)
 
    plt.legend(title='Sample_Set', bbox_to_anchor=(1, 1.02), loc='upper left')
    plt.yscale('log')
    plt.xlabel(cat)
    plt.ylabel(val)
    plt.xticks(x, u)
    plt.show()


cat = "Candidate"
subcat = "Sample_Set"
val = "Values"
err = "Error"

grouped_barplot(df, cat, subcat, val, err )

原答案

請求可以被執行，但不應該是：
- This is not a good visualization practice. The bars within a given group should all have the same color. The point of a visualization is to convey information. All this will do is make the plot confusing to read, thereby defeating the purpose.
Because the the bars are plotted in groups: 'X', 'Y', 'Z' of 'Sample_Set 1', 'X', 'Y', 'Z' of 'Sample_Set 2' and 'X', 'Y', 'Z' of 'Sample_Set 3', only 3 labels will be created in the legend, which means a custom patch legend with appropriate handles and labels will need to be created.

Plot and Customize

The order of rects is not the same as df, so df is sorted differently in order to zip the correct color to the correct rect

# add a colors column to the dataframe
df['color'] = colors[:len(df)]

# plot vals with yerr
ax = vals.plot(kind='bar', yerr=yerr, logy=True, rot=0, figsize=(6, 5), legend=False, ylabel='Value', title='Comparison')

# extract the Rectangle bar objects
rects = [c for c in ax.get_children() if isinstance(c, mpl.patches.Rectangle)]

# change the face color of the bar
for rect, color in zip(rects, df.sort_values(['Sample_Set', 'Candidate'])['color']):
    rect.set_fc(color)

# create a custom handle for the legend
handles = list()
for idx, v in df.iterrows():
    patch = Patch(color=v.color, label=f'{v.Candidate} {v.Sample_Set}')
    handles.append(patch)    

# add the legend
ax.legend(title='Candidate Sample_Set', handles=handles, bbox_to_anchor=(1, 1.02), loc='upper left')

plt.show()

如何更改分組條的默認分組顏色

Using the

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