Show data in the form of a graph (DataFrame)

Hello Team,

I have a csv file, I will read the data from the file and will show the data in the form of a graph (Dataframe). I can able to bring the data in the form of table and I have also constructed the chart with X and Y axis metrics.

My problem is I have different device names in a column and I would like to construct the graph based on that, I have implemented the below code and also attached my output images. I still could not achieve the result.

def DropdownDevices():

    devicename = pd.read_csv("deviceinfo.csv", header=0, sep=",", names=["DDID", "TrendInfo_MaxValue", "TrendInfo_MinValue", "TrendInfo_PointValue", "TrendInfo_PollDateTime", "RegionName", "SiteName", "SuiteName", "DeviceName", "DeviceType", "FunctionName"], error_bad_lines=False,index_col=False, dtype='unicode')

    devicename["TrendInfo_PollDateTime"] = pd.to_datetime(devicename["TrendInfo_PollDateTime"])

    return devicename.set_index("DDID")

deviceList = DropdownDevices()

devices = st.multiselect(

    "Choose devices", list(deviceList.index), ["1743766", "1743856", "1744294"]
)

if not devices:
    st.error("Please select at least one device.")

result = deviceList.loc[devices] 
st.write("### Device Details", result)
chart = (
    alt.Chart(result)
    .mark_area(opacity=0.3)
    .encode(
        x="TrendInfo_PollDateTime:T",
        y=alt.Y("TrendInfo_MinValue:Q", stack=None),
        color="Devices:N",
    )
)
st.altair_chart(chart, use_container_width=True)

Kindly suggest me a solution on this.

Thanks and Regards,
S.Thilak