使用 python 在 y 轴上绘制三个不同的列
Plot three different columns on y axis using python
我正在尝试绘制每列一条线的线图。我的数据集如下所示:
我正在使用这段代码,但出现以下错误:
ValueError:通过 3 的项目数量错误,放置意味着 27
plot_x = 'bill__effective_due_date'
plot_y = ['RR_bucket1_perc', 'RR_bucket7_perc', 'RR_bucket14_perc']
ax = sns.pointplot(x=plot_x, y=plot_y, data=df_rollrates_plot, marker="o", palette=sns.color_palette("coolwarm"))
display(ax.figure)
也许这是一个愚蠢的问题,但我是 python 的新手,所以我不确定该怎么做。这是我的预期输出:
谢谢!!
您可以按如下方式绘制数据框(编辑:我更新了下面的代码以使 bill__effective_due_date
成为数据框的索引):
import seaborn as sns
import pandas as pd
rr1 = [20,10,2,10,2,5]
rr7 = [17,8,2,8,2,4]
rr14 = [12,5,2,5,2,3]
x = ['Nov-1','Nov2','Nov-3','Nov-4','Nov-5','Nov-6']
df_rollrates_plot = pd.DataFrame({'RR_bucket1_perc':rr1,
'RR_bucket7_perc':rr7,
'RR_bucket14_perc':rr14})
df_rollrates_plot.index = x
df_rollrates_plot.index.name = 'bill__effective_due_date'
sns.lineplot(data=df_rollrates_plot)
plt.grid()
您的数据形状错误,无法利用 seaborn 线图中的 hue
参数。您需要堆叠它,以便列成为分类值。
import pandas as pd
import seaborn as sns
rr1 = [20,10,2,10,2,5]
rr7 = [17,8,2,8,2,4]
rr14 = [12,5,2,5,2,3]
x = ['Nov-1','Nov2','Nov-3','Nov-4','Nov-5','Nov-6']
df = pd.DataFrame({'bill_effective_due_date':x,
'RR_bucket1_perc':rr1,
'RR_bucket7_perc':rr7,
'RR_bucket14_perc':rr14})
# This is where you are reshaping your data to make it work like you want
df = df.set_index('bill_effective_due_date').stack().reset_index()
df.columns=['bill_effective_due_date','roll_rates_perc','roll_rates']
sns.lineplot(data=df, x='bill_effective_due_date',y='roll_rates', hue='roll_rates_perc', marker='o')
我正在尝试绘制每列一条线的线图。我的数据集如下所示:
我正在使用这段代码,但出现以下错误: ValueError:通过 3 的项目数量错误,放置意味着 27
plot_x = 'bill__effective_due_date'
plot_y = ['RR_bucket1_perc', 'RR_bucket7_perc', 'RR_bucket14_perc']
ax = sns.pointplot(x=plot_x, y=plot_y, data=df_rollrates_plot, marker="o", palette=sns.color_palette("coolwarm"))
display(ax.figure)
也许这是一个愚蠢的问题,但我是 python 的新手,所以我不确定该怎么做。这是我的预期输出:
谢谢!!
您可以按如下方式绘制数据框(编辑:我更新了下面的代码以使 bill__effective_due_date
成为数据框的索引):
import seaborn as sns
import pandas as pd
rr1 = [20,10,2,10,2,5]
rr7 = [17,8,2,8,2,4]
rr14 = [12,5,2,5,2,3]
x = ['Nov-1','Nov2','Nov-3','Nov-4','Nov-5','Nov-6']
df_rollrates_plot = pd.DataFrame({'RR_bucket1_perc':rr1,
'RR_bucket7_perc':rr7,
'RR_bucket14_perc':rr14})
df_rollrates_plot.index = x
df_rollrates_plot.index.name = 'bill__effective_due_date'
sns.lineplot(data=df_rollrates_plot)
plt.grid()
您的数据形状错误,无法利用 seaborn 线图中的 hue
参数。您需要堆叠它,以便列成为分类值。
import pandas as pd
import seaborn as sns
rr1 = [20,10,2,10,2,5]
rr7 = [17,8,2,8,2,4]
rr14 = [12,5,2,5,2,3]
x = ['Nov-1','Nov2','Nov-3','Nov-4','Nov-5','Nov-6']
df = pd.DataFrame({'bill_effective_due_date':x,
'RR_bucket1_perc':rr1,
'RR_bucket7_perc':rr7,
'RR_bucket14_perc':rr14})
# This is where you are reshaping your data to make it work like you want
df = df.set_index('bill_effective_due_date').stack().reset_index()
df.columns=['bill_effective_due_date','roll_rates_perc','roll_rates']
sns.lineplot(data=df, x='bill_effective_due_date',y='roll_rates', hue='roll_rates_perc', marker='o')