Struggling with visualization
Question:
I have a dataset like these
Weather
Day
Total
Abo
Noabo
1
1
500
250
250
2
2
450
250
200
1
3
550
350
200
1
4
530
330
200
2
5
420
220
200
3
6
250
200
50
4
7
150
140
10
1
8
600
350
250
3
9
220
200
20
4
10
110
90
20
3
11
170
120
50
3
12
160
150
10
2
13
380
280
100
4
14
490
290
200
Total is the number of people using pubic transport, abo is people using public transport and have discount, Noabo is people having no discount, but using public transport. Weather shows the situation of weather.
Now I would Like To create A histogram in which the Y AXIS shows the TOTAL and X AXIS shows WEATHER. I want that the bars shows the count number of ABO and NOABO.
I don’t know how to do that and before my question was closed, despite that the suggested question didn’t answered it. they did not answer my question!!!!!
I try this
sns.histplot(data=data, x="weather", y="total", hue=["registered","casual"])
I am expecting something like this
Where survived and not survived represent abo and noabo
Answers:
You description is not fully clear. For instance what do you want to do with "Day"?
Do you want:
df.set_index('Weather')[['Abo', 'Noabo']].plot.bar(stacked=True)
output:
Or maybe:
df.set_index(['Weather', 'Day'])[['Abo', 'Noabo']].plot.bar(stacked=True)
with aggregation as sum on the Weather
df.groupby('Weather')[['Abo', 'Noabo']].sum().plot.bar(stacked=True)
Output:
I have a dataset like these
Weather | Day | Total | Abo | Noabo |
---|---|---|---|---|
1 | 1 | 500 | 250 | 250 |
2 | 2 | 450 | 250 | 200 |
1 | 3 | 550 | 350 | 200 |
1 | 4 | 530 | 330 | 200 |
2 | 5 | 420 | 220 | 200 |
3 | 6 | 250 | 200 | 50 |
4 | 7 | 150 | 140 | 10 |
1 | 8 | 600 | 350 | 250 |
3 | 9 | 220 | 200 | 20 |
4 | 10 | 110 | 90 | 20 |
3 | 11 | 170 | 120 | 50 |
3 | 12 | 160 | 150 | 10 |
2 | 13 | 380 | 280 | 100 |
4 | 14 | 490 | 290 | 200 |
Total is the number of people using pubic transport, abo is people using public transport and have discount, Noabo is people having no discount, but using public transport. Weather shows the situation of weather.
Now I would Like To create A histogram in which the Y AXIS shows the TOTAL and X AXIS shows WEATHER. I want that the bars shows the count number of ABO and NOABO.
I don’t know how to do that and before my question was closed, despite that the suggested question didn’t answered it. they did not answer my question!!!!!
I try this
sns.histplot(data=data, x="weather", y="total", hue=["registered","casual"])
I am expecting something like this
Where survived and not survived represent abo and noabo
You description is not fully clear. For instance what do you want to do with "Day"?
Do you want:
df.set_index('Weather')[['Abo', 'Noabo']].plot.bar(stacked=True)
output:
Or maybe:
df.set_index(['Weather', 'Day'])[['Abo', 'Noabo']].plot.bar(stacked=True)
with aggregation as sum on the Weather
df.groupby('Weather')[['Abo', 'Noabo']].sum().plot.bar(stacked=True)
Output: