Waheeb Algabri¶

Working with Plotly Express:¶

In this particular Assignment we were assigned to recreate some plots suggested by our Professor using plotly Express. The dataset that we will using is "tips" data set from plotly express library.

Importing the library and data set:¶

Let's import plotly express and tips data set from plotly express.

In [1]:
!pip install --upgrade plotly

Requirement already satisfied: plotly in /Users/waheebalgabri/anaconda3/lib/python3.10/site-packages (5.9.0)
Collecting plotly
  Downloading plotly-5.18.0-py3-none-any.whl (15.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.6/15.6 MB 14.9 MB/s eta 0:00:0000:0100:01
Requirement already satisfied: tenacity>=6.2.0 in /Users/waheebalgabri/anaconda3/lib/python3.10/site-packages (from plotly) (8.0.1)
Requirement already satisfied: packaging in /Users/waheebalgabri/anaconda3/lib/python3.10/site-packages (from plotly) (22.0)
Installing collected packages: plotly
  Attempting uninstall: plotly
    Found existing installation: plotly 5.9.0
    Uninstalling plotly-5.9.0:
      Successfully uninstalled plotly-5.9.0
Successfully installed plotly-5.18.0
In [2]:
import plotly.express as px
In [3]:
df = px.data.tips()

Lets display the first few rows to see if the data set got loaded properly.

In [4]:
df.head()
Out[4]:
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

As we can see that the data set looks good now we can recreate the required graphs

Bar plot¶

In [5]:
fig = px.bar(data_frame=df, x="sex", y="total_bill", color = "smoker",barmode='group')

fig.show()
In [6]:
fig = px.bar(data_frame=df, x="sex", y="total_bill", color = "day",barmode='group')

fig.show()

Scatter Plot:¶

In [7]:
fig = px.scatter(data_frame=df, x="total_bill", y="tip", color = "sex",facet_col='smoker')

fig.show()
In [8]:
fig = px.scatter(data_frame=df, x="total_bill", y="tip", color = "sex",facet_col='smoker', trendline="ols")

fig.show()
In [9]:
fig = px.scatter(data_frame=df, x="total_bill", y="tip", color = "sex",facet_row='time',facet_col='day',category_orders={'day': ['Thur', 'Fri', 'Sat', 'Sun'], 'time': ['Dinner', 'Lunch']})

fig.show()

Histogram:¶

In [10]:
fig = px.histogram(data_frame=df, x="tip", marginal="rug")

fig.show()

Boxplot:¶

In [11]:
fig = px.box(data_frame=df, x="smoker", y="total_bill", color = "smoker")

fig.show()