python中判断一个dataframe非空 DataFrame有一个属性为empty,直接用DataFrame.empty判断就行。 如果df为空,则 df.empty 返回 True,反之 返回False。 注意empty后面不要加()。 学习tips:查好你自己所用的Pandas对应的版本,在官网上下载Pandas 使用的pdf手册,直接搜索“empty”,就可找到有...数据...
nu_plugin_polars/src/dataframe/command/boolean when.rs toolkit.nu 25 files changed +455 -92lines changed Top crates/nu-cli/src/commands/history/history_import.rsCopy file name to clipboardexpand all lines: crates/nu-cli/src/commands/history/history_import.rs +1 Original file line number...
check_is_fitted(self) X = _check_X(X) if hasattr(X, "columns"): X_feature_names = np.asarray(X.columns) fit_dataframe_and_transform_ndarray = ( self._feature_names_in is not None and hasattr(X, "columns")) This conversation was marked as resolved by lorentzenchr Show conversation...
Python - Pandas Dataframe Check if column value is in, Pandas Dataframe Check if column value is in column list. data = {'id': [12,112], 'idlist': [ [1,5,7,12,112], [5,7,12,111,113]] } df=pd.DataFrame.from_dict (data) I need to check and see if id is in the idlist...
if not df: df = some matrix else: df1 = some new matrix df1 = df1.append(df) Solution 3: To utilize df as a name in your if statement, it is necessary to assign it a value. Suitable empty values includeNoneand a dataframe without any rows. Let's assume the latter option. ...
check_is_fitted(self) X = _check_X(X) if hasattr(X, "columns"): X_feature_names = np.asarray(X.columns) fit_dataframe_and_transform_ndarray = ( self._feature_names_in is not None and hasattr(X, "columns")) lorentzenchr marked this conversation as resolved. Show resolved if fit...