Create new file

app.py

@@ -0,0 +1,137 @@
+import streamlit as st
+import pandas as pd
+
+###################################
+from st_aggrid import AgGrid
+from st_aggrid.grid_options_builder import GridOptionsBuilder
+from st_aggrid.shared import JsCode
+
+###################################
+
+from functionforDownloadButtons import download_button
+
+###################################
+
+
+def _max_width_():
+    max_width_str = f"max-width: 1800px;"
+    st.markdown(
+        f"""
+    <style>
+    .reportview-container .main .block-container{{
+        {max_width_str}
+    }}
+    </style>    
+    """,
+        unsafe_allow_html=True,
+    )
+
+st.set_page_config(page_icon="✂️", page_title="CSV Wrangler")
+
+# st.image("https://emojipedia-us.s3.dualstack.us-west-1.amazonaws.com/thumbs/240/apple/285/balloon_1f388.png", width=100)
+st.image(
+    "https://emojipedia-us.s3.dualstack.us-west-1.amazonaws.com/thumbs/240/apple/285/scissors_2702-fe0f.png",
+    width=100,
+)
+
+st.title("CSV Wrangler")
+
+# st.caption(
+#     "PRD : TBC | Streamlit Ag-Grid from Pablo Fonseca: https://pypi.org/project/streamlit-aggrid/"
+# )
+
+
+# ModelType = st.radio(
+#     "Choose your model",
+#     ["Flair", "DistilBERT (Default)"],
+#     help="At present, you can choose between 2 models (Flair or DistilBERT) to embed your text. More to come!",
+# )
+
+# with st.expander("ToDo's", expanded=False):
+#     st.markdown(
+#         """
+# -   Add pandas.json_normalize() - https://streamlit.slack.com/archives/D02CQ5Z5GHG/p1633102204005500
+# -   **Remove 200 MB limit and test with larger CSVs**. Currently, the content is embedded in base64 format, so we may end up with a large HTML file for the browser to render
+# -   **Add an encoding selector** (to cater for a wider array of encoding types)
+# -   **Expand accepted file types** (currently only .csv can be imported. Could expand to .xlsx, .txt & more)
+# -   Add the ability to convert to pivot → filter → export wrangled output (Pablo is due to change AgGrid to allow export of pivoted/grouped data)
+# 	    """
+#     )
+# 
+#     st.text("")
+
+
+c29, c30, c31 = st.columns([1, 6, 1])
+
+with c30:
+
+    uploaded_file = st.file_uploader(
+        "",
+        key="1",
+        help="To activate 'wide mode', go to the hamburger menu > Settings > turn on 'wide mode'",
+    )
+
+    if uploaded_file is not None:
+        file_container = st.expander("Check your uploaded .csv")
+        shows = pd.read_csv(uploaded_file)
+        uploaded_file.seek(0)
+        file_container.write(shows)
+
+    else:
+        st.info(
+            f"""
+                👆 Upload a .csv file first. Sample to try: [biostats.csv](https://people.sc.fsu.edu/~jburkardt/data/csv/biostats.csv)
+                """
+        )
+
+        st.stop()
+
+from st_aggrid import GridUpdateMode, DataReturnMode
+
+gb = GridOptionsBuilder.from_dataframe(shows)
+# enables pivoting on all columns, however i'd need to change ag grid to allow export of pivoted/grouped data, however it select/filters groups
+gb.configure_default_column(enablePivot=True, enableValue=True, enableRowGroup=True)
+gb.configure_selection(selection_mode="multiple", use_checkbox=True)
+gb.configure_side_bar()  # side_bar is clearly a typo :) should by sidebar
+gridOptions = gb.build()
+
+st.success(
+    f"""
+        💡 Tip! Hold the shift key when selecting rows to select multiple rows at once!
+        """
+)
+
+response = AgGrid(
+    shows,
+    gridOptions=gridOptions,
+    enable_enterprise_modules=True,
+    update_mode=GridUpdateMode.MODEL_CHANGED,
+    data_return_mode=DataReturnMode.FILTERED_AND_SORTED,
+    fit_columns_on_grid_load=False,
+)
+
+df = pd.DataFrame(response["selected_rows"])
+
+st.subheader("Filtered data will appear below 👇 ")
+st.text("")
+
+st.table(df)
+
+st.text("")
+
+c29, c30, c31 = st.columns([1, 1, 2])
+
+with c29:
+
+    CSVButton = download_button(
+        df,
+        "File.csv",
+        "Download to CSV",
+    )
+
+with c30:
+    CSVButton = download_button(
+        df,
+        "File.csv",
+        "Download to TXT",
+    )