I'm trying to output a graph that has ids on its x-axis and numbers on its y. Now I'm having difficulty seeing the graph itself as the ids are too long. I don't want to remove the whole ids and I just need to have for example the last few letters of each. Does anyone know if Plotly express has anything like using a regex for the labels?
To shorten the tick labels of your x-axis, you could either change the id's of your column beforehand by changing the dataframe, or you could use .update_layout()
to change your tick labels afterwards.
See also: https://plotly.com/python/tick-formatting/
This question + answer is related: Plotly: How to set custom xticks
Example code:
import uuid
import numpy as np
import pandas as pd
import plotly.express as px
# generating some sample data and dataframe
length = 4
data = {
'colA': [str(uuid.uuid4()) for i in range(length)],
'colB': np.random.normal(size=length)
}
df = pd.DataFrame(data)
# create scatter plot
fig = px.scatter(data_frame=df, x='colA', y='colB', width=600, height=400)
# overwrite tick labels
fig.update_layout(
xaxis = {
'tickmode': 'array',
'tickvals': list(range(length)),
'ticktext': df['colA'].str.slice(-6).tolist(),
}
)
Resulting plot: