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ee34a1f278
* Fixed isort * Fixed issues * FIxed linters --------- Co-authored-by: James Maslek <jmaslek11@gmail.com>
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
"""Finviz Model"""
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__docformat__ = "numpy"
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import pandas as pd
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from openbb_terminal.helper_funcs import get_user_agent, request
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from openbb_terminal.rich_config import console
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timeframe_map = {
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"day": "",
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"week": "w1",
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"month": "w4",
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"3month": "w13",
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"6month": "w26",
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"year": "w52",
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"ytd": "ytd",
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}
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def get_heatmap_data(timeframe: str) -> pd.DataFrame:
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"""Get heatmap data from finviz
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Parameters
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----------
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timeframe: str
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Timeframe to get performance for
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Returns
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-------
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pd.DataFrame
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Dataframe of tickers, changes and sectors
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"""
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if timeframe not in timeframe_map:
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console.print(f"[red]{timeframe} is an invalid timeframe[/red]")
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return pd.DataFrame()
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r = request(
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f"https://finviz.com/api/map_perf.ashx?t=sec&st={timeframe_map[timeframe]}",
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headers={"User-Agent": get_user_agent()},
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)
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r2_json = request(
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"https://finviz.com/maps/sec.json?rev=316",
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headers={"User-Agent": get_user_agent()},
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).json()
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df_change = pd.DataFrame.from_dict(r.json()["nodes"], orient="index")
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df_change.columns = ["Change"]
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df_change["Change"] = df_change.Change
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changes_dict = df_change.to_dict()
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dfs = pd.DataFrame()
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for sector_dict in r2_json["children"]:
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for industry_dict in sector_dict["children"]:
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temp = pd.DataFrame(industry_dict["children"])
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temp["Sector"] = sector_dict["name"]
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temp["Industry"] = industry_dict["name"]
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dfs = pd.concat([dfs, temp], axis=0).reset_index(drop=True)
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dfs["Change"] = dfs["name"].copy().map(changes_dict["Change"])
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dfs = dfs.rename(columns={"name": "Ticker"})
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return dfs
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