EDIT: It has to do with the upgrade to the new pandas 1.3.0 from 1.1.4 what I used before. Apparently there is now a Styler object and I guess my code is not backwards compatible 
EDIT 2: it has been solved, hopefully it will be soon active at share.streamlit.io DataFrame Styling not working when using pandas 1.3.0 · Issue #3526 · streamlit/streamlit · GitHub
Hello
This code gives an error since a few days. Locally everything is allright and before there were no problems
Expected output
The error
Traceback (most recent call last): File “/app/covidcases/covid_menu_streamlit.py”, line 63, in main module.main()
File “/app/covidcases/show_contactmatrix.py”, line 66,
in main st.write (df_first_pivot.style.format(None, na_rep="-").applymap(lambda x: cell_background_helper(x,“lineair”, 10, None)).set_precision(2))
File “/home/appuser/venv/lib/python3.7/site-packages/streamlit/elements/write.py”, line 181, in write self.dg.dataframe(arg)
File “/home/appuser/venv/lib/python3.7/site-packages/streamlit/elements/data_frame.py”, line 85, in dataframe marshall_data_frame(data, data_frame_proto)
File “/home/appuser/venv/lib/python3.7/site-packages/streamlit/elements/data_frame.py”, line 150, in marshall_data_frame _marshall_styles(proto_df.style, df, styler)
File “/home/appuser/venv/lib/python3.7/site-packages/streamlit/elements/data_frame.py”, line 169, in _marshall_styles translated_style = styler._translate()
TypeError: _translate() missing 2 required positional arguments: ‘sparse_index’ and ‘sparse_cols’
The code
import streamlit as st
import pandas as pd
def cell_background_test(val,max):
"""Creates the CSS code for a cell with a certain value to create a heatmap effect
Args:
val ([int]): the value of the cell
Returns:
[string]: the css code for the cell
"""
opacity = 0
try:
v = abs(val)
color = '193, 57, 43'
value_table = [ [0,0],
[0.25,0.25],
[0.50,0.50],
[0.75,0.75],
[1,1]]
for vt in value_table:
if v >= round(vt[0]*max) :
opacity = vt[1]
except:
# give cells with eg. text or dates a white background
color = '255,255,255'
opacity = 1
return f'background: rgba({color}, {opacity})'
def make_legenda(max_value):
stapfracties = [0, 0.0625 , 0.125, 0.25, 0.50, 0.75, 1]
stapjes =[]
for i in range(len(stapfracties)):
stapjes.append((stapfracties[i]*max_value))
d = {'legenda': stapjes}
df_legenda = pd.DataFrame(data=d)
st.write (df_legenda.style.format(None, na_rep="-").applymap(lambda x: cell_background_test(x,max_value)).set_precision(2))
def main():
st.header("This is just a sandbox")
make_legenda(150)
st.stop()
if __name__ == "__main__":
main()