KaneAI - World’s First E2E Software Testing Agent.Book a Demo Join TestMu Conference

How to use time_series_schema method in pandera

Best Python code snippet using pandera_python

alpha_vantage_constants.py

Source:alpha_vantage_constants.py

1class AlphaVantageConstants:2    intra_day_function = "TIME_SERIES_INTRADAY"3    intra_day_extended_function = "TIME_SERIES_INTRADAY_EXTENDED"4    daily_function = "TIME_SERIES_DAILY"5    daily_adjusted_function = "TIME_SERIES_DAILY_ADJUSTED"6    weekly_function = "TIME_SERIES_WEEKLY"7    weekly_Adjusted_function = "TIME_SERIES_WEEKLY_ADJUSTED"8    monthly_function = "TIME_SERIES_MONTHLY"9    monthly_adjusted_function = "TIME_SERIES_MONTHLY_ADJUSTED"10    min_interval = lambda minute: "{}min".format(minute)11    slice_year_month = lambda yr, mh: "year{}month{}".format(yr, mh)12    meta_deta_schema = {13        "type": "object",14        "properties": {15            "Meta Data": {"type": "object"},16            "properties": {17                "1. Information": {"type": "string"},18                "2. Symbol": {"type": "string"},19                "3. Last Refreshed": {"type": "string"},20                "4. Interval": {"type": "string"},21                "5. Output Size": {"type": "string"},22                "6. Time Zone": {"type": "string"}23            }24        },25        "required": ["Meta Data"]26    }27    time_series_schema = {28        "type": "object",29        "properties": {30            "1. open": {"type": "string"},31            "2. high": {"type": "string"},32            "3. low": {"type": "string"},33            "4. close": {"type": "string"},34            "5. volume": {"type": "string"},35        },36        "required": ["1. open", "2. high", "3. low", "4. close", "5. volume"]37    }38    daily_series_adjusted_schema = {39        "type": "object",40        "properties": {41            "Information": {"type": "string"},42            },43        "required": ["Information"]44    }45    weekly_adjusted_time_series_schema = {46        "type": "object",47        "properties": {48            "1. open": {"type": "string"},49            "2. high": {"type": "string"},50            "3. low": {"type": "string"},51            "4. close": {"type": "string"},52            "5. adjusted close": {"type": "string"},53            "6. volume": {"type": "string"},54            "7. dividend amount": {"type": "string"},55        },56        "required": ["1. open", "2. high", "3. low", "4. close", "5. adjusted close", "6. volume", "7. dividend amount"]...

series_schema.py

Source:series_schema.py

...19                allow_duplicates=True,20                name="my_series")21        self.series = pd.Series(["foobar", "foobar", "foobar"],22                                name="my_series")23    def time_series_schema(self):24        self.schema.validate(self.series)25    def mem_series_schema(self):26         self.schema.validate(self.series)27    def peakmem_series_schema(self):...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.