Reputation: 131
I'm trying to change colors of stacked 100% barchart plot in plotly.
I have the following dataframe and code:
import pandas as pd
import plotly
import plotly.express as px
from plotly.offline import plot
df = pd.DataFrame([["A", "Jan", "20%"],
["A", "Fev", "10%"],
["A", "Mar", "15%"],
["A", "Apr", "10%"],
["B", "Jan", "15%"],
["B", "Fev", "15%"],
["B", "Mar", "20%"],
["B", "Apr", "10%"],
["C", "Jan", "25%"],
["C", "Fev", "25%"],
["C", "Mar", "20%"],
["C", "Apr", "30%"],
["D", "Jan", "40%"],
["D", "Fev", "50%"],
["D", "Mar", "45%"],
["D", "Apr", "50%"]],
columns=["type", "month", "percentage"])
colors = plotly.colors.qualitative.Prism
fig=px.bar(df, x='month', y='percentage',
color=df['type'], barmode ='stack',
text = df['percentage'])
fig.update_traces(textfont_size=12, marker_color = colors)
fig.update_layout(title = {'text': "Title",
'x':0.5, 'xanchor': 'center'},
title_font_size=30,
legend=dict(yanchor="bottom", y=0.0,
xanchor="right", x=1.2),
legend_font_size=16,
xaxis_title = 'Months',
yaxis_title ='%',
xaxis_tickangle=-45,
width = 1000, height = 600)
fig.show()
But I'm getting the following:
Changing the colors of the whole bars, instead of change the colors for each section of the bars.
What I want is to change the blue, red, green, purple from the original one:
(That is what I get when there's no marker_color = colors
in fig.update_traces
, trying to change the colors as I want.)
How can I do it properly?
Upvotes: 2
Views: 4437
Reputation: 35686
Set the color_discrete_sequence
argument of px.bar
instead of marker_color
in update_traces
:
colors = plotly.colors.qualitative.Prism
fig = px.bar(df, x='month', y='percentage',
color=df['type'], barmode='stack',
text=df['percentage'].astype(str) + '%', # Add Percent Sign
color_discrete_sequence=colors)
# Don't forget to remove from update_traces
fig.update_traces(textfont_size=12)
Data and Imports (removed string percentages as they were not plotting correctly):
import pandas as pd
import plotly
import plotly.express as px
df = pd.DataFrame([["A", "Jan", 20],
["A", "Fev", 10],
["A", "Mar", 15],
["A", "Apr", 10],
["B", "Jan", 15],
["B", "Fev", 15],
["B", "Mar", 20],
["B", "Apr", 10],
["C", "Jan", 25],
["C", "Fev", 25],
["C", "Mar", 20],
["C", "Apr", 30],
["D", "Jan", 40],
["D", "Fev", 50],
["D", "Mar", 45],
["D", "Apr", 50]],
columns=["type", "month", "percentage"])
Upvotes: 5