How to add two consequetive colors to bars in a plotly barchart with values of one pandas column - colors

Question

I would like to have a barchart where two colors are used for the bars, f.i. first blue next red, than blue again followed by red.
In matplotlib this is possible see below code.
I would like to do this also with plotly express.
Suggestions are appreciated.
df_1 = pd.DataFrame(freqfinal, columns=['teller' , 'frequenties']) # df = dataframe, pd staat voor Pandas
fig = go.Figure()
fig.add_trace(go.Bar(x=df_1.teller, y=df_1.frequenties, showlegend= True))
fig.show()
# in matplotlib, it works with two colors
bar_colors = ['red', 'blue']
ax = df_1['frequenties'].plot(kind='bar', color=bar_colors, title= 'series per 100 trekkingen') # barchart met behulp van matplotlib
ax.set_xlabel('volgorde frequenties') #label x-as
ax.set_ylabel('serie grootte') # label y-as
plt.show()
See above, first part is the plotly base code second part is the matplotlib code where I was succesful to have the two colors side by side

Answer 1

If you give us a list of desired color combinations for the marker color, we can create the expected color scheme.
import pandas as pd
import numpy as np
np.random.seed(1)
df_1 = pd.DataFrame({'teller': list('ABCDEFGHIK'), 'frequenties': np.random.randint(0,50,10)})
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Bar(x=df_1.teller, y=df_1.frequenties, marker_color=['blue','red']*5, showlegend=True))
fig.show()