salut j'ai un code python que j'aimerais convertir en code matlab. comment faire?

import pandas as pd

import plotly.express as px

import matplotlib.pyplot as plt

import numpy as np

import plotly.graph_objects as go

from sklearn.linear_model import LinearRegression

df = px.data.iris()

fig=px.scatter(df, x="sepal_width", y="sepal_length", color="species", marginal_y="violin",

marginal_x="box", trendline="ols", template= "simple_white")

fig.show()

print(df)

print(fig)

import plotly.graph_objects as go

fig1 = go.Figure()

for name, group in df.groupby('species'):

Legendgroup = group.groupby('species')

fig1.add_scatter(name=name, x = group['sepal_width'], y = group['sepal_length'], mode ='markers')

fig1.add_box(name=name, x = group['sepal_width'], notched = True)

fig1.add_violin(name=name, y = group['sepal_length'])

fig1.show()

groupObj = df.groupby('species')

for name, columns in df.groupby('species'):

print

print(columns)

df = px.data.iris()

fig1 = go.Figure()

for species, group in df.groupby('species'):

fig1.add_trace(go.Scatter(

legendgroup = species, x = group['sepal_width'], y = group['sepal_length'], xaxis="x1", yaxis="y1", mode='markers', name=f'{species}')

)

fig1.add_trace(go.Box(

showlegend=False, legendgroup=species, x = group['sepal_width'], name=f'{species}', notched=True, yaxis="y2" )

)

fig1.add_trace(go.Violin(

showlegend=False, legendgroup=species, y = group['sepal_length'], name=f'{species}', xaxis="x2")

)

fig1.add_trace(go.Scatter(

legendgroup=species, showlegend=False, name=species, x = group['sepal_width'],

y = LinearRegression().fit(group['sepal_width'].values.reshape((-1, 1)), group['sepal_length']).predict(group['sepal_width'].values.reshape(-1, 1)), mode='lines'

))

fig1. update_layout(

title='Scatter_boxplot_violin',

xaxis=dict(title='sepal_width', domain=[0, 0.71]), yaxis=dict(title='Sepal length', domain=[0, 0.71]), showlegend=True,

xaxis2=dict(domain=[0.75 ,1], showline=False, showticklabels=False, ticks=''),

yaxis2=dict(domain=[0.75 ,1], showline=False),

template='simple_white'

)

fig1.update_traces(

marker_color='#1F77B4',

selector=dict(name='setosa')

) #1F77B4

fig1.update_traces(

marker_color='#FF7F0E',

selector=dict(name='versicolor')

) #FF7F0E

fig1.update_traces(

marker_color='#2CA02C',

selector=dict(name='virginica')

) #2CA02C

fig1.show()

[Torsten]

Peut-être

https://uk.mathworks.com/help/matlab/matlab_external/ways-to-call-python-from-matlab.html

?