用 Pandas 上的值注释条形图（在 Seaborn factorplot 条形图上）
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Annotate bars with values on Pandas (on Seaborn factorplot bar plot)
提问by Aizzaac
I wrote some code to try and solve this question: https://stackoverflow.com/questions/39477748/how-to-annotate-bars-with-values-on-pandas-on-seaborn-factorplot-bar-plot
我写了一些代码来尝试解决这个问题：https: //stackoverflow.com/questions/39477748/how-to-annotate-bars-with-values-on-pandas-on-seaborn-factorplot-bar-plot
I used part of the code that can be found here: matplotlib advanced bar plot
我使用了可以在这里找到的部分代码： matplotlib 高级条形图
Why is the graph so small? The code just tells to grab the accuracies from Pandas dataframe .
为什么图这么小？代码只是告诉从 Pandas 数据帧中获取准确度。
The code:
编码：
sns.set(style="white")
g = sns.factorplot(x="Stages", y="Accuracy", hue="Dataset", data=df, saturation = 5, size=4, aspect=2, kind="bar",
palette= myPalette, legend=False)
ax=g.ax
def annotateBars(row, ax=ax):
if row['Accuracy'] < 20:
color = 'white'
vertalign = 'bottom'
vertpad = 2
else:
color = 'black'
vertalign = 'top'
vertpad = -2
ax.text(row.name, row['Accuracy'] + vertpad, "{:.1f}%".format(row['Accuracy']),
zorder=10, rotation=90, color=color,
horizontalalignment='center',
verticalalignment=vertalign,
fontsize=12, weight='heavy')
junk = df.apply(annotateBars, ax=ax, axis=1)
This is code to annotate each bar, but ...with Pandas and Matplotlib. The only problem is that I do not know how to change colors and group the "x axis" :(
这是注释每个条形的代码，但是……使用 Pandas 和 Matplotlib。唯一的问题是我不知道如何更改颜色并对“x 轴”进行分组:(
df = df.set_index('Stages')
ax = df.plot.bar(title="Accuracy")
ax.set_ylim(0, 120)
for p in ax.patches:
ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
ha='center', va='center', rotation=90, xytext=(0, 20), textcoords='offset points') #vertical bars
回答by Aizzaac
#Seaborn --factorplot
colors = ["windows blue", "orange red", "grey", "amber"]
myPalette = sns.xkcd_palette(colors) #envío "colors" a la función xkcd_palette
sns.set(style="white") #fondo blanco
g = sns.factorplot(x="Stages", y="Accuracy", hue="Dataset", data=df, saturation=5, size=4, aspect=3, kind="bar",
palette= myPalette, legend=False) #se suprime la leyenda
g.set(ylim=(0, 140))
g.despine(right=False)
g.set_xlabels("")
g.set_ylabels("")
g.set_yticklabels("")
#Matplotlib --legend creation
myLegend=plt.legend(bbox_to_anchor=(0., 1.2, 1., .102), prop ={'size':10}, loc=10, ncol=4, #left, bottom, width, height
title=r'TOTAL ACCURACY AND PER STAGE-RANDOM FOREST')
myLegend.get_title().set_fontsize('24')
#Matplotlib --anotación de barras
ax=g.ax #annotate axis = seaborn axis
def annotateBars(row, ax=ax):
for p in ax.patches:
ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
ha='center', va='center', fontsize=11, color='gray', rotation=90, xytext=(0, 20),
textcoords='offset points') verticales
plot = df.apply(annotateBars, ax=ax, axis=1)
