Files
OpenBB/openbb_terminal/cryptocurrency/crypto_views.py
teh_coderer 602cfa2c8c [POC] Plotly Backend (#3941)
* Update portfolio_view.py

* mypy 1.0 test

* Update helpers.py

* black

* ruff

* Update thought_of_the_day.py

* isort

* Update portfolio_view.py

* Update business_insider_view.py

* funds,bt,ca,fa view updates

* economy,etf,futures view updates

* econometrics regression

* mypy

* reports notebooks, PlotlyTA class adjustments, crypto finbrain view

* crypto views updates

* crypto views done?, ba, econometrics, funds, reports

* update docstrings

* Update sec_view.py

* portfolio reports

* Update equity.ipynb

* ruff

* mypy + equity reports

* Update yahoo_finance_view.py

* Update economy_controller.py

* clean up returns

* mypy

* finished dashboards/reports templates

* update some tests

* Update common.py

* Update account_controller.py

* Update banner.txt

* update tests

* tests

* Update helpers_denomination.py

* tests

* tests

* finished tests, refactor add_histplot/add_corr_plot

* ruff

* Update backend.py

* mypy

* Update backend.py

* pywry linux libs for tests

* pywry version bump

* OpenBBFIgure import changes

* Update business_insider_view.py

* Update backend.py

* tests

* bump pywry version

* forecast plot_explainability converted to plotly

* Update helpers.py

* tests

* Update helpers.py

* tests

* Update helpers.py

* Update helpers.py

* default plotly annotation `showarrow` to false

* Update backend.py

* fixes

* Update poetry.lock

* docker

* Update openbb.dockerfile

* up

* Update style.css

* bump pywry version

* Update unit-test.yml

* Update unit-test.yml

* figure to image/pdf export

* requirements txt files, pywry version bump

* mypy, pylint

* cleanup

* Update covid_view.py

* Update helper_funcs.py

* Update backend.py

* updates

* Update backend.py

* Update backend.py

* bump pywry version

* Update poetry.lock

* Update trailmap.py

* update reports

* Update custom_indicators_plugin.py

* Update momentum_plugin.py

* equity report

* reqs files

* Update fred_view.py

* ruff

* Update po_view.py

* bump pywry version

* reqs txt files

* fix installer icons for mac

* test updated torch/darts/pyinstaller on mac

* Update dashboards_controller.py

* Update terminal.py

* Update terminal.spec

* Update terminal.spec

* test

* Update poetry.lock

* Report adjustments, improved dashboard subprocesses termination

* pylint

* Update plotly_helper.py

* Update plotly_helper.py

* pylint

* revert darts

* test

* test

* fix

* improve shap scatter plot

* Update helpers.py

* Update helpers.py

* cleanup

* Update runa_view.py

* more cleanupp

* fixes

* update tests

* Update intrinio_view.py

* Update intrinio_view.py

* Update intrinio_view.py

* reqs files, poetry lock

* Update backend.py

* test for new icon

* Update fmp_view.py

* updates

* Update plotly_helper.py

* Update businessinsider_view.py

* ruff

* pylint

* fix previous merge

* Update plotly_helper.py

* update reqs files

* Update directories.py

* fix alt covid

* fix display_candle data is None load being unreachable, get covid views ready for sdk server

* Update covid_view.py

* refactor cleanup

* plotly_ta adjustments

* terminal wide ignore print_table if export

* Update plotly_helper.py

* forgot to save a few

* added edge case fallback if figures are in queue before backend fail

* Update ta_class.py

* Rename env variable name required to return plotly json

* Resolve pydocstyle warnings

* Resolve linting errors

* revert forecasting/pyinstaller versions

* Update terminal.spec

* finished incoming fixedincome menu, improve get_ecb_yield_curve speed with multiprocessing

* update deps

* Update backend.py

* fix fred model/view from switch to DataFrame, improve ecb_model

* Update config_terminal.py

* Update backend.py

* black

* clean up

* Update fred_view.py

* Update ta_class.py

* Update ta_class.py

* Update plotly_helper.py

* sync fixedincome

* Update ecb_model.py

* convert excel to csv for faster processing

* cleanup

* remove excel files

* Update terminal_controller.py

* update tests

* adjustments/missed figs in export_data

* Update cryptocurrency_helpers.py

* fixes

* account for volume column with no volume when plotting indicators , images autogen POC

* Update plotly_helper.py

* Update etf_controller.py

* Update etf_controller.py

* margin arg for export_data func figures, some plot adjustments

* logic for numpy array for plotly helper `get_dateindex` function

* cleanup

* update

* req file updates

* views

* Update backend.py

* update tests

* Update test_load_none[btc-usd].yaml

* convert merged cpi chart

* linting

* updates

* clean

* tests

* Update openbb.dockerfile

* remove test docker in root

* Update CONTRIBUTING.md

---------

Co-authored-by: Theodore Aptekarev <aptekarev@gmail.com>
Co-authored-by: Chavithra <chavithra@gmail.com>
2023-03-01 22:48:45 -05:00

59 lines
1.7 KiB
Python

import os
from typing import Optional
from openbb_terminal.cryptocurrency import crypto_models
from openbb_terminal.helper_funcs import export_data, print_rich_table
def find(
query: str,
source: str = "CoinGecko",
key: str = "symbol",
limit: int = 10,
export: str = "",
sheet_name: Optional[str] = None,
) -> None:
"""Find similar coin by coin name,symbol or id.
If you don't know exact name or id of the Coin at CoinGecko CoinPaprika, Binance or Coinbase
you use this command to display coins with similar name, symbol or id to your search query.
Example: coin name is something like "polka". So I can try: find -c polka -k name -t 25
It will search for coin that has similar name to polka and display top 25 matches.
-c, --coin stands for coin - you provide here your search query
-k, --key it's a searching key. You can search by symbol, id or name of coin
-t, --top it displays top N number of records.
Parameters
----------
query: str
Cryptocurrency
source: str
Data source of coins. CoinGecko or CoinPaprika or Binance or Coinbase
key: str
Searching key (symbol, id, name)
limit: int
Number of records to display
export : str
Export dataframe data to csv,json,xlsx file
"""
df = crypto_models.find(query=query, source=source, key=key, limit=limit)
if not df.empty:
print_rich_table(
df,
headers=list(df.columns),
show_index=False,
title="Similar Coins",
export=bool(export),
)
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"find",
df,
sheet_name,
)