如何将Y轴从绝对频率转换为百分比（％）

Question

我想将绝对频率转换为百分比（0％-100％），但在我的图表中我看到的数字如70000％等。我还想在每个堆叠区域显示％，例如bar1 - ＆gt; 35％vs 65％等

def to_percent(y, position):
    s = str(100 * y)
    if matplotlib.rcParams['text.usetex'] is True:
        return s + r'$\%$'
    else:
        return s + '%'

filter = df["CLUSTER"] == 1
plt.ylabel("Percentage")
plt.hist([df["HOUR"][filter],df["HOUR"][~filter]],stacked=True,
         color=['#8A2BE2', '#EE3B3B'], label=['1','0'])
plt.legend()

formatter = FuncFormatter(to_percent)

# Set the formatter
plt.gca().yaxis.set_major_formatter(formatter)

plt.show()

小小的虚假数据集：

s_hour = pd.Series(["5","5","5","8","8","9","10"]) 
s_cluster = pd.Series(["1","1","0","1","0","1","0"])  

df = pd.concat([s_hour, s_cluster], axis=1)
df

Answer 1

首先，将plt.hist的标准参数设置为True以标准化数据。

plt.hist([df["HOUR"][filter],df["HOUR"][~filter]],stacked=True, normed = True,
         color=['#8A2BE2', '#EE3B3B'], label=['1','0'])

无法在格式函数中评论您的rcParams条件 - 但此格式字符串有效 - '{:3.1%}'。

看看这是不是你想要的：

def to_percent(y, p):
    return '{:3.1%}'.format(y)

s_hour = pd.Series(["5","5","5","8","8","9","10"]) 
s_cluster = pd.Series(["1","1","0","1","0","1","0"])  

df = pd.concat([s_hour.astype(np.int32), s_cluster.astype(np.int32)], axis=1)
df.columns = ["HOUR", "CLUSTER"]
filter = df["CLUSTER"] == 1
plt.ylabel("Percentage")
plt.hist([df["HOUR"][filter],df["HOUR"][~filter]],stacked=True, normed = True,
         color=['#8A2BE2', '#EE3B3B'], label=['1','0'])
plt.legend()

formatter = FuncFormatter(to_percent)

# Set the formatter
plt.gca().yaxis.set_major_formatter(formatter)

plt.show()
plt.close()