使用set（）定义xlabels并在subplots_adjust（）中更改底部arg matplotlib将修改xlabels顺序

Question

我有两个数据集来绘制：

LWM：

Client name,CTR,mean_diff
customeronewithverylongname,0.08355714285714286,-0.02935714285714286
customertwowithverylongname,0.028471428571428568,-0.001942857142857142
customerthree,0.014371428571428571,0.000700000000000001
customerfourwithverylongname,0.09971428571428573,0.0014285714285714457
customerfive,0.006799999999999999,0.0014999999999999987
customersixQuickSale,0.0396,0.005075000000000003
customerseven,0.16254285714285713,0.0052428571428571324

PWM：

Client name,CTR,mean_diff
customeronewithverylongname,0.11291428571428572,-0.02935714285714286
customertwowithverylongname,0.03041428571428571,-0.001942857142857142
customerthree,0.01367142857142857,0.000700000000000001
customerfourwithverylongname,0.09828571428571428,0.0014285714285714457
customerfive,0.0053,0.0014999999999999987
customersixQuickSale,0.034525,0.005075000000000003
customerseven,0.1573,0.0052428571428571324

我想绘制一系列直方图，其中x轴上的客户名称和y上的点击率，没有x标签被截断。

我绘制并注意到xlabels被切断了。所以I read this question并以这种方式解决了：

plt.subplots_adjust(left=None, bottom=0.15, right=None, top=None, wspace=None, hspace=None)

我尝试使用bottom的不同值：

• 0.10
• 0.15
• 0.17
• 0.25
• 0.30

• 0.35

  每次xlabels改变位置时，我都没有相同的xlabels订单。

相反，直方图始终处于相同的位置。

底= 0.15

底= 0.25

这是我的代码片段

#defing the labels of the histograms
#pwm and lwm are the last & penultimate week dataframes 
# with the weekly mean CTR for each customer

#defing the labels of the histograms
customer_list=set(lwm['Client name'])

x_pos=list(range(len(customer_list)))
x_lab=customer_list
width=0.4

#defining the y max heigh
max_y=max(zip(lwm['CTR'],pwm['CTR']))

#defining the histograms 
fig,ax =plt.subplots(figsize=(8,6))

plt.bar(x_pos, pwm['CTR'], width, alpha=0.5, color='b',label=x_lab)

plt.bar([p + width for p in x_pos], lwm['CTR'], width, alpha=0.5, color='r', label=x_lab)

#defining the y max height
plt.ylim([0,max(max_y[0],max_y[1])*1.1])

plt.xticks(x_pos,x_lab,rotation=45, rotation_mode="anchor", ha="right") 
plt.title('CTR Bar plot of the last week') 

# Adding the legend and showing the plot
plt.legend(['Penultimate Week CTR','Last Week CTR', ], loc='best')
plt.subplots_adjust(left=None, bottom=0.15, right=None, top=None, wspace=None, hspace=None)

plt.show()

I don't knwow if i have to insert more information about the dataset or if it is fine

我很难自拔，我读了the documentation here和this question以及this to。但我仍然没有提出解决方案。

Answer 1

问题

xlabels因set而改变位置。

根据定义，

set是一个不同的可清除对象的无序集合，但这并不意味着它是随机排序的。 （详情请见https://stackoverflow.com/questions/2860339/can-pythons-set-absence-of-ordering-be-considered-random-order）。

所以你的输出是正确的。

解决方案

您需要的是根据您的规格提取标签，然后进行绘制。

例如使用：

customer_list=lwm['Client name'] 

而不是

customer_list=set(lwm['Client name'])

这样您就可以按照x和y值的相同顺序定义标签。

作为底值0.15和0.25的测试，您将获得以下图表：

0.15

0.25

注意如果您需要特定订单，则必须先对数据集进行排序，然后提取绘图标签，例如：

test1=lwm.sort_values(by=['CTR'], ascending=False)
test2=pwm.sort_values(by=['CTR'], ascending=False)
customer_list2=test1['Client name']