5

I'm trying to replicate the following boxplot I made in matplotlib using plotly:


My data is in a very simple dataframe imported from an Excel file and looks like follows:

As you can see, I want to have the different conditions in the x-axis and a y-axis that covers from 0 to 10 and have a different box plot for each condition with its own mean, SD etc. However, when I try the following code I get a very weird output:

import plotly.express as px
conditions = df1.keys() #all conditions, df1 being my DataFrame
conditions=list(conditions)
fig = px.box(df1, x = conditions) 
fig.show()

Output:

Anyone knows what do I have to do to get a similar plot like the one I got with matplotlib but with plotly?

2 Answers 2

10

You can use plotly.express or plotly.graph_objects.

Reading data:

import pandas as pd

df = pd.read_csv(r'Documents\test.csv', sep=',')
print(df)
print(df.to_dict())
   p=0; t=0  p=1; t=6"  p=1; t=30"  p=3; t=6"  p=3; t=30"  p=3; t=1'
0         0          3           3          2          10         10
1         2          3           5          4           9          9
2         2          6           1          1          10          9
3         1          1           4          2           7          8

{'p=0; t=0': {0: 0, 1: 2, 2: 2, 3: 1}, 'p=1; t=6"': {0: 3, 1: 3, 2: 6, 3: 1}, 
 'p=1; t=30"': {0: 3, 1: 5, 2: 1, 3: 4}, 'p=3; t=6"': {0: 2, 1: 4, 2: 1, 3: 2}, 
 'p=3; t=30"': {0: 10, 1: 9, 2: 10, 3: 7}, "p=3; t=1'": {0: 10, 1: 9, 2: 9, 3: 8}}

plotly.graph_objects:

import plotly.graph_objects as go

fig = go.Figure()

for col in df:
  fig.add_trace(go.Box(y=df[col].values, name=df[col].name))
  
fig.show()

plotly.express:

import plotly.express as px

fig = px.box(pd.melt(df), x="variable", y="value", points="outliers")
fig.show()

Sign up to request clarification or add additional context in comments.

Comments

1
import plotly.express as px

df = px.data.tips()

fig = px.box(df, x="day", y="total_bill", color="smoker")
fig.update_traces(quartilemethod="exclusive") # or "inclusive", or "linear" by default
fig.show()

enter image description here

Comments

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.