如何在 Python 中使用 Plotly 更改组中变量的顺序?
How to change the order of variables in a group using Plotly in Python?
我在 Python 中使用 Plotly 包并使用包中的示例数据集获得以下结果:
import plotly.express as px
df = px.data.tips()
fig = px.bar(df, x="sex", y="total_bill", color='day', barmode='group',height=400)
fig.show()
但是,如您所见,日期的顺序是星期日、星期六、星期四和星期五,而我希望它是星期四、星期五、星期六、星期日。我正在查看文档但无济于事,因为我似乎只能更改组本身的顺序,而不是组内的变量。为了以防万一,我还附上了一小部分数据样本:
print(df)
total_bill tip sex smoker day time size
0 16.99 1.01 Female No Sun Dinner 2
1 10.34 1.66 Male No Sun Dinner 3
2 21.01 3.50 Male No Sun Dinner 3
3 23.68 3.31 Male No Sun Dinner 2
4 24.59 3.61 Female No Sun Dinner 4
.. ... ... ... ... ... ... ...
239 29.03 5.92 Male No Sat Dinner 3
240 27.18 2.00 Female Yes Sat Dinner 2
241 22.67 2.00 Male Yes Sat Dinner 2
242 17.82 1.75 Male No Sat Dinner 2
243 18.78 3.00 Female No Thur Dinner 2
我最终解决了它,但我会 post 我的解决方案,以防有人想知道如何去做。基本上,在创建条形图之前进行排序:
import numpy as np
conditions = [(df['day'] == 'Thur'), (df['day'] == 'Fri'),
(df['day'] == 'Sat'), (df['day'] == 'Sun')]
choices = [0,1,2,3]
df['order'] = np.select(conditions, choices)
df = df.sort_values(by='order')
fig = px.bar(df, x="sex", y="total_bill", color='day', barmode='group',height=400)
fig.show()
ordered plot
随心所欲。
我在 Python 中使用 Plotly 包并使用包中的示例数据集获得以下结果:
import plotly.express as px
df = px.data.tips()
fig = px.bar(df, x="sex", y="total_bill", color='day', barmode='group',height=400)
fig.show()
但是,如您所见,日期的顺序是星期日、星期六、星期四和星期五,而我希望它是星期四、星期五、星期六、星期日。我正在查看文档但无济于事,因为我似乎只能更改组本身的顺序,而不是组内的变量。为了以防万一,我还附上了一小部分数据样本:
print(df)
total_bill tip sex smoker day time size
0 16.99 1.01 Female No Sun Dinner 2
1 10.34 1.66 Male No Sun Dinner 3
2 21.01 3.50 Male No Sun Dinner 3
3 23.68 3.31 Male No Sun Dinner 2
4 24.59 3.61 Female No Sun Dinner 4
.. ... ... ... ... ... ... ...
239 29.03 5.92 Male No Sat Dinner 3
240 27.18 2.00 Female Yes Sat Dinner 2
241 22.67 2.00 Male Yes Sat Dinner 2
242 17.82 1.75 Male No Sat Dinner 2
243 18.78 3.00 Female No Thur Dinner 2
我最终解决了它,但我会 post 我的解决方案,以防有人想知道如何去做。基本上,在创建条形图之前进行排序:
import numpy as np
conditions = [(df['day'] == 'Thur'), (df['day'] == 'Fri'),
(df['day'] == 'Sat'), (df['day'] == 'Sun')]
choices = [0,1,2,3]
df['order'] = np.select(conditions, choices)
df = df.sort_values(by='order')
fig = px.bar(df, x="sex", y="total_bill", color='day', barmode='group',height=400)
fig.show()
ordered plot
随心所欲。