Python 将哈希模式应用于条形图

我想创建一个列表，在那里我可以添加英语国家，并确保在我的条形图上反映出来

top9 = master_frame[master_frame['country_code'].isin(["USA","CHN","GBR","IND","CAN","ISR","FRA","DEU","SWE"])]

plt.figure(figsize=(10,5))
ax2=sns.barplot(x='country_code', y='raised_amount_usd', data=top9, estimator=np.sum,)
ax2.set_yscale('log')
ax2.set(xlabel='Funding by country', ylabel='Total amount of investments')
ax2.set_title('Investment distribution Country wise',fontsize =18, weight='bold')
plt.show()

输出：

这里的挑战是，我需要强调以英语为官方语言的国家，因此我的想法是在这些国家的栏中添加一个哈希模式，并在上面显示一个色调框

你知道我怎样才能做到这一点吗

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提前谢谢你

我不太确定你提到的哈希模式

这是我的理解，你要做到两件事

首先，给具有不同属性的条上色

其次，在绘图上创建一个图例框

下面的方法是实现您的目标的方法

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1.给条子上色。 通过在函数

sns.barplot

中设置参数

调色板

，可以轻松完成此步骤。您应以十六进制格式输入一系列颜色（也存在）

2.创建一个图例。 为了创建一个定制的图例框，我们可以设置手动创建的轴的手柄（我借用了代码的想法）

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最终代码如下所示：

import matplotlib.patches as mpatches

top9 = master_frame[master_frame['country_code'].isin(["USA","CHN","GBR","IND","CAN","ISR","FRA","DEU","SWE"])]

plt.figure(figsize=(10,5))

color_eng = "#94698b"
color_non_eng = "#4369ef"

# the sequence length is the number of bars.
# Shall be composed by you
palette = [color_eng, color_eng, color_non_eng, color_eng, .......]

ax2 = sns.barplot(x='country_code', y='raised_amount_usd', 
                  data=top9, estimator=np.sum, palette=palette)

p_eng = mpatches.Patch(color=color_eng, label='English speaking country')
p_non_eng = mpatches.Patch(color=color_non_eng, label='non-English speaking country')

ax2.legend(handles=[p_eng, p_non_eng])

ax2.set_yscale('log')
ax2.set(xlabel='Funding by country', ylabel='Total amount of investments')
ax2.set_title('Investment distribution Country wise',fontsize =18, weight='bold')
plt.show()

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我已尝试此操作，但出现以下错误：

ValueError:无效的RGBA参数：“4369ef”ValueError:无法为

import matplotlib.patches as mpatches

p_eng = mpatches.Patch(color=color_eng, label='English speaking country')
p_non_eng = mpatches.Patch(color=color_non_eng, label='non-English speaking country')

ax2.legend(handles=[p_eng, p_non_eng])

import matplotlib.patches as mpatches

top9 = master_frame[master_frame['country_code'].isin(["USA","CHN","GBR","IND","CAN","ISR","FRA","DEU","SWE"])]

plt.figure(figsize=(10,5))

color_eng = "#94698b"
color_non_eng = "#4369ef"

# the sequence length is the number of bars.
# Shall be composed by you
palette = [color_eng, color_eng, color_non_eng, color_eng, .......]

ax2 = sns.barplot(x='country_code', y='raised_amount_usd', 
                  data=top9, estimator=np.sum, palette=palette)

p_eng = mpatches.Patch(color=color_eng, label='English speaking country')
p_non_eng = mpatches.Patch(color=color_non_eng, label='non-English speaking country')

ax2.legend(handles=[p_eng, p_non_eng])

ax2.set_yscale('log')
ax2.set(xlabel='Funding by country', ylabel='Total amount of investments')
ax2.set_title('Investment distribution Country wise',fontsize =18, weight='bold')
plt.show()