Summary
I am unable to save a filtered dataframe using the st.download_button function when I pair it with a filtered dataframe using the “filter_dataframe” function from this post Auto-generate a dataframe filtering UI in Streamlit with filter_dataframe!. My dashboard throws an error "there are multiple widgets with the same key=‘add filters checkbox’. error, but this goes away when I remove the download button code (even though the error is related to the filter_dataframe and not the download button).
Steps to reproduce
Code snippet:
def filter_dataframe(df: pd.DataFrame) -> pd.DataFrame:
"""
Adds a UI on top of a dataframe to let viewers filter columns
Args:
df (pd.DataFrame): Original dataframe
Returns:
pd.DataFrame: Filtered dataframe
"""
modify = st.checkbox("Add filters", key="add filters checkbox") #This is line that generates the error
if not modify:
return df
df = df.copy()
# Try to convert datetimes into a standard format (datetime, no timezone)
for col in df.columns:
if is_object_dtype(df[col]):
try:
df[col] = pd.to_datetime(df[col])
except Exception:
pass
if is_datetime64_any_dtype(df[col]):
df[col] = df[col].dt.tz_localize(None)
modification_container = st.container()
with modification_container:
to_filter_columns = st.multiselect("Filter dataframe on", df.columns)
for column in to_filter_columns:
left, right = st.columns((1, 20))
left.write("↳")
# Treat columns with < 10 unique values as categorical
if is_categorical_dtype(df[column]) or df[column].nunique() < 10:
user_cat_input = right.multiselect(
f"Values for {column}",
df[column].unique(),
default=list(df[column].unique()),
)
df = df[df[column].isin(user_cat_input)]
elif is_numeric_dtype(df[column]):
_min = float(df[column].min())
_max = float(df[column].max())
step = (_max - _min) / 100
user_num_input = right.slider(
f"Values for {column}",
_min,
_max,
(_min, _max),
step=step,
)
df = df[df[column].between(*user_num_input)]
elif is_datetime64_any_dtype(df[column]):
user_date_input = right.date_input(
f"Values for {column}",
value=(
df[column].min(),
df[column].max(),
),
)
if len(user_date_input) == 2:
user_date_input = tuple(map(pd.to_datetime, user_date_input))
start_date, end_date = user_date_input
df = df.loc[df[column].between(start_date, end_date)]
else:
user_text_input = right.text_input(
f"Substring or regex in {column}",
)
if user_text_input:
df = df[df[column].str.contains(user_text_input)]
return df
if "prediction_df" not in st.session_state:
st.session_state["prediction_df"] = pd.read_excel(
"Data.xlsx"
).set_index(["id", "id2"])
filtered_df = st.dataframe(
filter_dataframe(st.session_state["prediction_df"].reset_index())
)
@st.cache
def convert_df(df):
# IMPORTANT: Cache the conversion to prevent computation on every rerun
return df.to_csv().encode("utf-8")
csv = convert_df(filter_dataframe(st.session_state["prediction_df"]))
st.download_button(
label="Download data as CSV",
data=csv,
file_name="large_df.csv",
mime="text/csv",
key="download_button_for_csv",
)
If applicable, please provide the steps we should take to reproduce the error or specified behavior.
Expected behavior:
It should create a button below my dataframe (the filtered dataframe generated from the session state variable. This will give me the option to export the dataframe after applying a filter.
Actual behavior:
No button is generated, and instead throws an error.
**DuplicateWidgetID**: There are multiple widgets with the same `key='add filters checkbox'`.
To fix this, please make sure that the `key` argument is unique for each widget you create.
Traceback:
File '…\streamlit.py", line 309, in
csv = convert_df(predictions)File “…\streamlit.py”, line 34, in filter_dataframe
modify = st.checkbox(“Add filters”, key=“add filters checkbox”)
Debug info
- Streamlit version: 1.25.0
- Python version: 3.8.10
- VS Code for IDE, Chrome for the browser
- OS version: Windows 10 Enterprise
- Browser version: Version 117.0.5938.134