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Added timeseries to dataframes that return a date #1

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Added timeseries to dataframes that return a date #1

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15 changes: 15 additions & 0 deletions quiverquant.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,9 @@ def congress_trading(self, ticker="", politician=False):
r = requests.get(url, headers=self.headers)
j = json.loads(r.content)
df = pd.DataFrame(j)
if not politician and len(ticker)>0:
df["Date"] = pd.to_datetime(df["Date"])
df = df.set_index("Date")
return df

def gov_contracts(self, ticker=""):
Expand All @@ -43,6 +46,10 @@ def lobbying(self, ticker=""):

r = requests.get(url, headers=self.headers)
df = pd.DataFrame(json.loads(r.content))
if len(ticker) > 0:
# converts index of pandas dataframe to Date time index rather than a tuple
df["Date"] = pd.to_datetime(df["Date"])
df = df.set_index("Date")
return df


Expand All @@ -58,6 +65,10 @@ def wikipedia(self, ticker=""):
raise NameError('Upgrade your subscription plan to access this dataset.')

df = pd.DataFrame(json.loads(r.content))
if len(ticker) > 0:
# converts index of pandas dataframe to Date time index rather than a tuple
df["Date"] = pd.to_datetime(df["Date"])
df = df.set_index("Date")
return df

def wallstreetbets(self, ticker=""):
Expand All @@ -72,6 +83,10 @@ def wallstreetbets(self, ticker=""):
raise NameError('Upgrade your subscription plan to access this dataset.')

df = pd.DataFrame(json.loads(r.content))
if len(ticker) > 0:
# converts index of pandas dataframe to Date time index rather than a tuple
df["Date"] = pd.to_datetime(df["Date"])
df = df.set_index("Date")
return df


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