code: def load_multiformat_time_series(  # pylint: disable=too-many-locals
      only_metadata: bool = False, force: bool = False
  ) -> None:
      """Loading time series data from a zip file in the repo"""
      tbl_name = "multiformat_time_series"
      database = get_example_database()
      with database.get_sqla_engine_with_context() as engine:
          schema = inspect(engine).default_schema_name
          table_exists = database.has_table_by_name(tbl_name)
  
          if not only_metadata and (not table_exists or force):
              url = get_example_url("multiformat_time_series.json.gz")
              pdf = pd.read_json(url, compression="gzip")
              # TODO(bkyryliuk): move load examples data into the pytest fixture
              if database.backend == "presto":
                  pdf.ds = pd.to_datetime(pdf.ds, unit="s")
                  pdf.ds = pdf.ds.dt.strftime("%Y-%m-%d")
                  pdf.ds2 = pd.to_datetime(pdf.ds2, unit="s")
                  pdf.ds2 = pdf.ds2.dt.strftime("%Y-%m-%d %H:%M%:%S")
              else:
                  pdf.ds = pd.to_datetime(pdf.ds, unit="s")
                  pdf.ds2 = pd.to_datetime(pdf.ds2, unit="s")
  
              pdf.to_sql(
                  tbl_name,
                  engine,
                  schema=schema,
                  if_exists="replace",
                  chunksize=500,
                  dtype={
                      "ds": String(255)
                      if database.backend == "presto"
                      else Date,
                      "ds2": String(255)
                      if database.backend == "presto"
                      else DateTime,
                      "epoch_s": BigInteger,
                      "epoch_ms": BigInteger,
                      "string0": String(100),
                      "string1": String(100),
                      "string2": String(100),
                      "string3": String(100),
                  },
                  index=False,
              )
          print("Done loading table!")
          print("-" * 80)
  
      print(f"Creating table [{tbl_name}] reference")
      table = get_table_connector_registry()
      obj = (
          db.session.query(table).filter_by(table_name=tbl_name).first()
      )
      if not obj:
          obj = table(table_name=tbl_name, schema=schema)
          db.session.add(obj)
      obj.main_dttm_col = "ds"
      obj.database = database
      obj.filter_select_enabled = True
      dttm_and_expr_dict: dict[str, tuple[Optional[str], None]] = {
          "ds": (None, None),
          "ds2": (None, None),
          "epoch_s": ("epoch_s", None),
          "epoch_ms": ("epoch_ms", None),
          "string2": ("%Y%m%d-%H%M%S", None),
          "string1": ("%Y-%m-%d^%H:%M:%S", None),
          "string0": ("%Y-%m-%d %H:%M:%S.%f", None),
          "string3": ("%Y/%m/%d%H:%M:%S.%f", None),
      }
      for col in obj.columns:
          dttm_and_expr = dttm_and_expr_dict[col.column_name]
          col.python_date_format = dttm_and_expr[0]
          col.database_expression = dttm_and_expr[1]
          col.is_dttm = True
      db.session.commit()
      obj.fetch_metadata()
      tbl = obj
  
      print("Creating Heatmap charts")
      for i, col in enumerate(tbl.columns):
          slice_data = {
              "metrics": ["count"],
              "granularity_sqla": col.column_name,
              "row_limit": app.config["ROW_LIMIT"],
              "since": "2015",
              "until": "2016",
              "viz_type": "cal_heatmap",
              "domain_granularity": "month",
              "subdomain_granularity": "day",
          }
  
          slc = Slice(
              slice_name=f"Calendar Heatmap multiformat {i}",
              viz_type="cal_heatmap",
              datasource_type=DatasourceType.TABLE,
              datasource_id=tbl.id,
              params=get_slice_json(slice_data),
          )
          merge_slice(slc)
      misc_dash_slices.add("Calendar Heatmap multiformat 0")
  
file_path: superset/superset/examples/multiformat_time_series.py
imports: from typing import Optional
  import pandas
  from sqlalchemy import BigInteger, Date, DateTime, inspect, String
  from superset import app, db
  from superset.models.slice import Slice
  from superset.utils.core import DatasourceType
  from ..utils.database import get_example_database
  from .helpers import get_example_url, get_slice_json, get_table_connector_registry, merge_slice, misc_dash_slices
label_desc: Use image node_id 1 for calling a global function with example usage: load_multiformat_time_series(only_metadata, force) without return types