fix Finviz screener Perf 1Y returning as 1970-01-01

This commit is contained in:
OpenBB
2023-07-22 09:57:51 -07:00
parent adcaadf261
commit 68239df094
6 changed files with 41 additions and 12 deletions

View File

@@ -79,6 +79,7 @@ def get_comparison_data(similar: List[str], data_type: str = "overview"):
screen = ownership.Ownership()
elif data_type == "performance":
screen = performance.Performance()
elif data_type == "technical":
screen = technical.Technical()
else:
@@ -87,7 +88,21 @@ def get_comparison_data(similar: List[str], data_type: str = "overview"):
screen.set_filter(ticker=",".join(similar))
try:
return screen.screener_view(verbose=0)
screen_df = screen.screener_view(verbose=0)
screen_df.columns = screen_df.columns.str.strip()
screen_df = screen_df.rename(
columns={
"Perf Week": "1W",
"Perf Month": "1M",
"Perf Quart": "3M",
"Perf Half": "6M",
"Perf Year": "1Y",
"Perf YTD": "YTD",
"Volatility W": "1W Volatility",
"Volatility M": "1M Volatility",
}
)
return screen_df
except IndexError:
console.print("[red]Invalid data from website[red]\n")
return pd.DataFrame()

View File

@@ -191,6 +191,20 @@ def get_screener_data(
df_screen.columns = [val.strip("\n") for val in df_screen.columns]
if "Company" in df_screen.columns:
df_screen["Company"] = df_screen["Company"].str.replace(",", "")
df_screen.columns = df_screen.columns.str.strip()
if data_type == "performance":
df_screen = df_screen.rename(
columns={
"Perf Week": "1W",
"Perf Month": "1M",
"Perf Quart": "3M",
"Perf Half": "6M",
"Perf Year": "1Y",
"Perf YTD": "YTD",
"Volatility W": "1W Volatility",
"Volatility M": "1M Volatility",
}
)
return df_screen

View File

@@ -90,14 +90,14 @@ d_cols_to_sort = {
],
"performance": [
"Ticker",
"Perf Week",
"Perf Month",
"Perf Quart",
"Perf Half",
"Perf Year",
"Perf YTD",
"Volatility W",
"Volatility M",
"1W",
"1M",
"3M",
"6M",
"1Y",
"YTD",
"1W Volatility",
"1M Volatility",
"Recom",
"Avg Volume",
"Rel Volume",

View File

@@ -540,7 +540,7 @@ class ScreenerController(BaseController):
choices=screener_helper.finviz_choices("performance"),
type=str.lower,
dest="sort",
default="perfytd",
default="ytd",
metavar="SORTBY",
help="Sort elements of the table.",
)

View File

@@ -1,2 +1,2 @@
,Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume
,Ticker,1W,1M,3M,6M,1Y,YTD,1W Volatility,1M Volatility,Recom,Avg Volume,Rel Volume,Price,Change,Volume
0,GM,-0.07769999999999999,-0.002,0.051100000000000007,0.0063,-0.3714,0.0508,0.0255,0.0277,2.2,13360000.0,0.0,35.35,0.0,0.0
1 Ticker Perf Week 1W Perf Month 1M Perf Quart 3M Perf Half 6M Perf Year 1Y Perf YTD YTD Volatility W 1W Volatility Volatility M 1M Volatility Recom Avg Volume Rel Volume Price Change Volume
2 0 GM -0.07769999999999999 -0.07769999999999999 -0.002 -0.002 0.051100000000000007 0.051100000000000007 0.0063 0.0063 -0.3714 -0.3714 0.0508 0.0508 0.0255 0.0255 0.0277 0.0277 2.2 13360000.0 0.0 35.35 0.0 0.0

View File

@@ -1,4 +1,4 @@
,Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume
,Ticker,1W,1M,3M,6M,1Y,YTD,1W Volatility,1M Volatility,Recom,Avg Volume,Rel Volume,Price,Change,Volume
0,CDIO,2.1081,2.3173,0.725,-0.6526000000000001,,2.2547,0.1937,0.2682,2.0,2130000.0,194.21,3.45,1.5847,100099160.0
1,LION,1.2992,0.4106,0.44549999999999995,0.46880000000000005,,0.4328,0.6442,0.2623,,65860.0,13.79,14.6,1.0563,739802.0
2,CHS,0.1783,0.1079,-0.0496,-0.0987,0.1711,0.16870000000000002,0.0602,0.0466,3.0,2420000.0,2.87,5.75,0.1616,6759202.0
1 Ticker Perf Week 1W Perf Month 1M Perf Quart 3M Perf Half 6M Perf Year 1Y Perf YTD YTD Volatility W 1W Volatility Volatility M 1M Volatility Recom Avg Volume Rel Volume Price Change Volume
2 0 CDIO 2.1081 2.3173 0.725 -0.6526000000000001 2.2547 0.1937 0.2682 2.0 2130000.0 194.21 3.45 1.5847 100099160.0
3 1 LION 1.2992 0.4106 0.44549999999999995 0.46880000000000005 0.4328 0.6442 0.2623 65860.0 13.79 14.6 1.0563 739802.0
4 2 CHS 0.1783 0.1079 -0.0496 -0.0987 0.1711 0.16870000000000002 0.0602 0.0466 3.0 2420000.0 2.87 5.75 0.1616 6759202.0