Pandas: Apply a Function to each Cell of a DataFrame I wrotea bookin which I share everything I know about how to become a better, more efficient programmer. You can use the search field on myHome Pageto filter through all of my articles. ...
Source File: main-minimal.py From python-examples with MIT License 5 votes def create_plot(): sns.set(style="white") # Generate a large random dataset rs = np.random.RandomState(33) d = pd.DataFrame(data=rs.normal(size=(100, 26)), columns=list(ascii_letters[26:])) # Compute ...
revoscalepy.rx_create_col_info(data: typing.Union[revoscalepy.datasource.RxDataSource.RxDataSource, str, pandas.core.frame.DataFrame, revoscalepy.functions.RxGetInfoXdf.GetVarInfoResults], include_low_high: bool = False, factors_only: bool = False, vars_to_keep: list = None, so...
from prompter import generate_prompt for data_points in file_points: for data_point in data_points: print(generate_prompt(data_point, 'plain', '', False, False, False)[0]) def test_get_open_datasets(): # HF changed things so don't get raw list of all datasets, so not have to fi...
Pinecone Datasets enables you to load a dataset from a pandas dataframe. This is useful for loading a dataset from a local file and saving it to a remote storage. The minimal required data is a documents dataset, and the minimal required columns areidandvalues. Theidcolumn is a unique iden...
utils.cached_pumps.get(symbol, pumps.to_dicts(((),(),(),(),(),()))# intervals['bottom'] = [0] * len(intervals['start'])# intervals['values'] = [max(df['price'])] * len(intervals['start'])## intervals = pd.DataFrame(intervals)# new versionstats = utils.get_symbols_cached...
revoscalepy.rx_create_col_info(data: typing.Union[revoscalepy.datasource.RxDataSource.RxDataSource, str, pandas.core.frame.DataFrame, revoscalepy.functions.RxGetInfoXdf.GetVarInfoResults], include_low_high: bool = False, factors_only: bool = False, vars_to_keep: list = None, sort...