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Update streamlit_pandas.py to include date filters #8

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Update streamlit_pandas.py to include date filters #8

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14 changes: 14 additions & 0 deletions streamlit_pandas/streamlit_pandas.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,6 +40,15 @@ def create_select(df, column, ss_name, multi=False):
def text_widget(df, column, ss_name):
temp_input = st.sidebar.text_input(f"{column.title()}", key=ss_name)
all_widgets.append((ss_name, "text", column))

def date_widget(df, column, ss_name):
df = df[df[column].notna()]
df=df.copy()
df[column] = pd.to_datetime(df[column]) # Ensure the column is datetime type
min_date = df[column].min().date()
max_date = df[column].max().date()
temp_input = st.sidebar.slider(f"{column.title()}", min_date, max_date, (min_date, max_date), key=ss_name)
all_widgets.append((ss_name, "date", column))

def create_widgets(df, create_data={}, ignore_columns=[]):
"""
Expand All @@ -62,6 +71,8 @@ def create_widgets(df, create_data={}, ignore_columns=[]):
create_select(df, column, column.lower(), multi=False)
elif create_data[column] == "multiselect":
create_select(df, column, column.lower(), multi=True)
elif create_data[column] == "date":
date_widget(df, column, column.lower())
else:
if ctype == "float64":
number_widget(df, column, column.lower())
Expand Down Expand Up @@ -97,4 +108,7 @@ def filter_df(df, all_widgets):
elif ctype == "number":
min, max = data
res = res.loc[(res[column] >= min) & (res[column] <= max)]
elif ctype == "date":
start_date, end_date = data
res = res.loc[(pd.to_datetime(res[column]) >= pd.to_datetime(start_date)) & (pd.to_datetime(res[column]) <= pd.to_datetime(end_date))]
return res