Tag: tolist

solving nested renamer is not supported with dynamic arguments

if cat_vars: df["static_cat"] = ( df.groupby("group_col") .agg({i: "first" for i in cat_vars}) .values.tolist() ) Error: packages\pandas\core\groupby\generic.py in aggregate(self, func, *args, **kwargs) 926 func = _maybe_mangle_lambdas(func) 927 –> 928 result, how = self._aggregate(func, *args, **kwargs) 929 if how is None: 930 return result packages\pandas\core\base.py in _aggregate(self, arg, *args, **kwargs) 355 obj.columns.intersection(keys) 356 ) != len(keys): –>… Read More solving nested renamer is not supported with dynamic arguments

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Check for duplicate rows for a subset of columns in a Pandas DataFrameGroupBy object

Suppose I have a groupby object (grouped on Col1) like below: Col1 Col2 Col3 Col4 Col5 —————————————- AAA 001 456 846 239 row1 002 374 238 904 row2 003 456 846 239 row3 BBB 001 923 222 398 row1 002 923 222 398 row2 003 755 656 949 row3 CCC 001 324 454 565 row1… Read More Check for duplicate rows for a subset of columns in a Pandas DataFrameGroupBy object

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Type mismatch when using map on a zipped list in Scala

Consider this code : /** Takes a list and turns it into an infinite looping stream. */ def loop(l: List[Char]): LazyList[Char] = { l.to(LazyList) #:::loop(l) } /** Encodes a sequence of characters with a looped key. */ def codec(message: Seq[Char], key: Seq[Char], cipher: (Char, Char) => Char): Seq[Char] = { val loopedKey = loop(key.toList) val… Read More Type mismatch when using map on a zipped list in Scala

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Remove items from one list if they contain strings from another list

I’m looking for the most efficient way to remove items from one list if they contain strings from another list. For example: B list contains: TomWentFishing SueStayedHome JohnGoesToSchool JimPlaysTennis A list contains: GoesToSchool SueStayed C list should contain: TomWentFishing JimPlaysTennis I’ve used this code, but it takes up a lot of time as the lists… Read More Remove items from one list if they contain strings from another list

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Flutter, The element type 'List<ListTile>' can't be assigned to the list type 'Widget'

I tried geting data from firebase and display it using streamBuilder but I get this error, how do I solve it. body: StreamBuilder<QuerySnapshot>( stream: firestore.collection(‘paymnet data’).snapshots(), builder: (context, snapshot) { return ListView( children: [ snapshot.data!.docs.map((DocumentSnapshot document){ Map<String,dynamic> data = document.data()! as Map<String, dynamic>; return ListTile( title: Text(data[‘amount’]), subtitle: Text(data[‘paid date’]), ); }).toList(); ], ); })… Read More Flutter, The element type 'List<ListTile>' can't be assigned to the list type 'Widget'

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Flutter error: type '_InternalLinkedHashMap<String, dynamic>' is not a subtype of type 'List<dynamic>

Hi I am getting this error Though this error has been asked by multiple people but I cannot seem to address this in my scenario How do I correct this error I cannot seem to comprehend how to solve this Here is the code: child:FutureBuilder<List<Articles>>( future: fetchApiData(), builder: (context, snapshot) { if (snapshot.hasData) { return… Read More Flutter error: type '_InternalLinkedHashMap<String, dynamic>' is not a subtype of type 'List<dynamic>

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The argument type 'Future<List<dynamic>>' can't be assigned to the parameter type 'Future<List<ModelClass>>?'

I am getting this error I cannot seem to get what I am doing wrong please help. I am fetching the data through a rest api Here is the code: FutureBuilder<List<Articles>>( future: fetchApiData(), builder: (context, snapshot) { if (snapshot.hasData) { return ListView.separated( itemBuilder: (context, index) { Articles articles = snapshot.data![index]; const SizedBox(height: 150,); return Container(… Read More The argument type 'Future<List<dynamic>>' can't be assigned to the parameter type 'Future<List<ModelClass>>?'

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How to create columns in the same dataset Pandas?

I extract data from column using: df_filtered = pd.DataFrame(df[1].apply(extractMMYY).tolist(), columns=[‘MM’, ‘YY’]) It returns me a new dataset, but I need to return MM, YY into initial dataset df. I have tried: df(df[1].apply(extractMMYY).tolist(), columns=[‘MM’, ‘YY’]) Or I need to bins two datasets to be able filter first df by df_filtered >Solution : It looks to me… Read More How to create columns in the same dataset Pandas?

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