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removed series warning #9

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removed series warning #9

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12 changes: 6 additions & 6 deletions valinvest/fundamentals.py
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Original file line number Diff line number Diff line change
Expand Up @@ -116,7 +116,7 @@ def _get_financial_statements(self):
res = pd.concat([res, self._get_financial_statement(statement)])

res.loc[-1] = [self.ticker, "beta", "beta",
res["year"].max(), self.beta]
res["year"].max(numeric_only=True), self.beta]

dates = pd.DataFrame(range(2009, 2020), columns=['year'])
dates['key'] = 1
Expand Down Expand Up @@ -289,7 +289,7 @@ def roic_growth(self):

index_array = (
stmt[stmt["header"] == "net_income"].groupby(
["ticker", "year"]).sum().index
["ticker", "year"]).sum(numeric_only=True).index
)

res = pd.Series(np.where(value_array > 0.10, 1, 0), index=index_array)
Expand Down Expand Up @@ -334,7 +334,7 @@ def croic_growth(self):

index_array = (
stmt[stmt["header"] == "net_income"].groupby(
["ticker", "year"]).sum().index
["ticker", "year"]).sum(numeric_only=True).index
)

res = pd.Series(np.where(value_array > 0.10, 1, 0), index=index_array)
Expand Down Expand Up @@ -372,7 +372,7 @@ def ebitda_cover_growth(self):

index_array = (
stmt[stmt["header"] == "net_income"].groupby(
["ticker", "year"]).sum().index
["ticker", "year"]).sum(numeric_only=True).index
)

res = pd.Series(np.where(value_array > 6, 1, 0), index=index_array)
Expand Down Expand Up @@ -433,7 +433,7 @@ def debt_cost_growth(self):

index_array = (
stmt[stmt["header"] == "net_income"].groupby(
["ticker", "year"]).sum().index
["ticker", "year"]).sum(numeric_only=True).index
)

res = pd.Series(np.where(value_array < 0.05, 1, 0), index=index_array)
Expand Down Expand Up @@ -466,7 +466,7 @@ def _score(self, property, years=10):
if years > 10 or years <= 0:
raise ValueError("'years' should be between 0 and 10")

return property[-years:].sum() / years
return property[-years:].sum(numeric_only=True) / years

def eps_score(self, years=10):
"""Returns EPS score
Expand Down