Changed back to streamlit 1.17

apps/housing.py

@@ -80,7 +80,7 @@ def get_data_columns(df, category, frequency="monthly"):
         return cols[1:]
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_inventory_data(url):
     df = pd.read_csv(url)
     url = url.lower()
@@ -124,7 +124,7 @@ def get_periods(df):
     return [str(d) for d in list(set(df["month_date_yyyymm"].tolist()))]
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_geom_data(category):
 
     prefix = (

apps/hurricane.py

@@ -2,7 +2,7 @@ import streamlit as st
 import tropycal.tracks as tracks
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def read_data(basin='north_atlantic', source='hurdat', include_btk=False):
     return tracks.TrackDataset(basin=basin, source=source, include_btk=include_btk)
 

apps/raster.py

@@ -4,7 +4,7 @@ import streamlit as st
 import palettable
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def load_cog_list():
     print(os.getcwd())
     in_txt = os.path.join(os.getcwd(), "data/cog_files.txt")
@@ -12,7 +12,7 @@ def load_cog_list():
         return [line.strip() for line in f.readlines()[1:]]
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_palettes():
     palettes = dir(palettable.matplotlib)[:-16]
     return ["matplotlib." + p for p in palettes]

apps/timelapse.py

@@ -11,7 +11,7 @@ from datetime import date
 from .rois import *
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def uploaded_file_to_gdf(data):
     import tempfile
     import os

apps/wms.py

@@ -3,7 +3,7 @@ import streamlit as st
 import leafmap.foliumap as leafmap
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_layers(url):
     options = leafmap.get_wms_layers(url)
     return options

pages/13_🏘️_Global_Building_Footprints.py

@@ -31,7 +31,7 @@ st.title("Global Building Footprints")
 col1, col2 = st.columns([8, 2])
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def read_data(url):
     return gpd.read_file(url)
 

pages/1_📷_Timelapse.py

@@ -15,7 +15,7 @@ st.set_page_config(layout="wide")
 warnings.filterwarnings("ignore")
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def ee_authenticate(token_name="EARTHENGINE_TOKEN"):
     geemap.ee_initialize(token_name=token_name)
 
@@ -206,7 +206,7 @@ ocean_rois = {
 }
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def uploaded_file_to_gdf(data):
     import tempfile
     import os

pages/2_🏠_U.S._Housing.py

@@ -96,7 +96,7 @@ def get_data_columns(df, category, frequency="monthly"):
         return cols[1:]
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_inventory_data(url):
     df = pd.read_csv(url)
     url = url.lower()
@@ -140,7 +140,7 @@ def get_periods(df):
     return [str(d) for d in list(set(df["month_date_yyyymm"].tolist()))]
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_geom_data(category):
 
     prefix = (

pages/7_📦_Web_Map_Service.py

@@ -20,7 +20,7 @@ st.sidebar.info(
 )
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_layers(url):
     options = leafmap.get_wms_layers(url)
     return options

pages/8_🏜️_Raster_Data_Visualization.py

@@ -21,7 +21,7 @@ st.sidebar.info(
 )
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def load_cog_list():
     print(os.getcwd())
     in_txt = os.path.join(os.getcwd(), "data/cog_files.txt")
@@ -29,7 +29,7 @@ def load_cog_list():
         return [line.strip() for line in f.readlines()[1:]]
 
 
-@st.cache_data
+@st.cache(allow_output_mutation=True)
 def get_palettes():
     return list(cm.palettes.keys())
     # palettes = dir(palettable.matplotlib)[:-16]

requirements.txt

@@ -10,7 +10,7 @@ nbserverproxy
 owslib
 palettable
 plotly
-streamlit>=1.18.1
+streamlit
 streamlit-bokeh-events
 streamlit-folium
 streamlit-keplergl