# x and y given as array_like objects
import plotly.express as px
fig = px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16])
fig.show()
x = ['Maths', 'Science']
y = [1, 10]
fig = px.scatter(x= x, y=y)
fig.show()
df = px.data.iris() # iris is a pandas DataFrame
df.head()
|
sepal_length |
sepal_width |
petal_length |
petal_width |
species |
species_id |
0 |
5.1 |
3.5 |
1.4 |
0.2 |
setosa |
1 |
1 |
4.9 |
3.0 |
1.4 |
0.2 |
setosa |
1 |
2 |
4.7 |
3.2 |
1.3 |
0.2 |
setosa |
1 |
3 |
4.6 |
3.1 |
1.5 |
0.2 |
setosa |
1 |
4 |
5.0 |
3.6 |
1.4 |
0.2 |
setosa |
1 |
fig = px.scatter(df, x="sepal_width", y="sepal_length")
fig.show()
data = {
'Math' : [98, 95, 97, 100],
'Science' : [100, 99, 98, 90]
}
df = pd.DataFrame(data, columns = ['Math', 'Science'])
|
Math |
Science |
0 |
98 |
100 |
1 |
95 |
99 |
2 |
97 |
98 |
3 |
100 |
90 |
df.style.background_gradient(cmap='YlGnBu')
| Math | Science |
0 |
98 |
100 |
1 |
95 |
99 |
2 |
97 |
98 |
3 |
100 |
90 |