Hi,
I am creating a dataframe from some records in a database, but the data is nested incorrectly. When I export to Excel, the data is shown as [‘data1’],[‘data2’] etc.
I’m relatively new to Python, but I’m not sure what I’ve done wrong here.
The code is as follows:
iid=[]
iSeries=[]
iCountry=[]
iNumber=[]
iName=[]
iAttribute=[]
iUserswithitemcount=[]
iUserswithitem=[]
for section in sections:
needed_items = run_query("SELECT `CardID` from `" + st.session_state.username + "_cards` WHERE Section = '" + section[0] + "' AND Need = 'True';")
for needed_item in needed_items:
needed_item_details=run_query("SELECT `ItemID`,`Series`,`Country`,`Number`,`Name`,`attribute` from `" + section[0] + "` WHERE ItemID = '" + needed_item[0] + "';")
iid.append([i[0] for i in needed_item_details])
iSeries.append([i[1] for i in needed_item_details])
iCountry.append([i[2] for i in needed_item_details])
iNumber.append([i[3] for i in needed_item_details])
iName.append([i[4] for i in needed_item_details])
iAttribute.append([i[5] for i in needed_item_details])
iUserswithitemcount.append(len(get_users_with_item(needed_item[0])))
def load_details_data():
return pd.DataFrame(
{
"ID": iid,
"Series": iSeries,
"Country": iCountry,
"Attribute" : iAttribute,
"Number": iNumber,
"Name": iName,
"Other Users With Spares": iUserswithitemcount,
}
)
st.write(load_details_data())
The dataframe looks like this:
And the Excel sheet looks like this: