- pandas.Series.describe — pandas 2.2.3 documentation🔍
- pandas.Series.any — pandas 2.2.3 documentation🔍
- pandas.Series.dt🔍
- pandas.Series.between — pandas 2.2.3 documentation🔍
- pandas.Series.mean — pandas 2.2.3 documentation🔍
- pandas.Series.to_list — pandas 2.2.3 documentation🔍
- pandas.date_range — pandas 2.2.3 documentation🔍
- pandas.Series.mode — pandas 2.2.3 documentation🔍
pandas.Series.dt.date — pandas 2.2.3 documentation
pandas.Series.describe — pandas 2.2.3 documentation - PyData |
pandas.Series.describe# · 'all' : All columns of the input will be included in the output. · A list-like of dtypes : Limits the results to the provided data types ...
pandas.Series.any — pandas 2.2.3 documentation - PyData |
Return whether any element is True, potentially over an axis. Returns False unless there is at least one element within a series or along a Dataframe axis that ...
Accessor object for Series values' datetime-like, timedelta and period properties. See also. DatetimeIndex. Index of datetime64 data. Examples. >>> dates = pd.
pandas.Series.between — pandas 2.2.3 documentation - PyData |
This function returns a boolean vector containing True wherever the corresponding Series element is between the boundary values left and right.
pandas.Series.mean — pandas 2.2.3 documentation - PyData |
Return the mean of the values over the requested axis. axis {index (0)} Axis for the function to be applied on. For Series this parameter is unused and ...
pandas.Series.to_list — pandas 2.2.3 documentation - PyData |
Return a list of the values. These are each a scalar type, which is a Python scalar (for str, int, float) or a pandas scalar (for Timestamp/Timedelta/Interval/ ...
pandas.date_range — pandas 2.2.3 documentation - PyData |
Normalize start/end dates to midnight before generating date range. namestr, default None. Name of the resulting DatetimeIndex. inclusive{“both”, “neither”, ...
pandas.Series.mode — pandas 2.2.3 documentation
Return the mode(s) of the Series. The mode is the value that appears most often. There can be multiple modes. Always returns Series even if only one value is ...
pandas.Series.array — pandas 2.2.3 documentation - PyData |
pandas.Series.array# ... The ExtensionArray of the data backing this Series or Index. ... An ExtensionArray of the values stored within. For extension types, this ...
pandas.DataFrame.between_time — pandas 2.2.3 documentation
Series or DataFrame. Data from the original object filtered to the specified dates range. Raises: TypeError. If the index ...
pandas.Series.ne — pandas 2.2.3 documentation - PyData |
Return: Not equal to of series and other, element-wise (binary operator ne ). Equivalent to series != other , but with support to substitute a fill_value for ...
pandas.Series.isin — pandas 2.2.3 documentation - PyData |
Return a boolean Series showing whether each element in the Series matches an element in the passed sequence of values exactly.
pandas.Series.items — pandas 2.2.3 documentation
This method returns an iterable tuple (index, value). This is convenient if you want to create a lazy iterator.
pandas.Series.shift — pandas 2.2.3 documentation - PyData |
When freq is not passed, shift the index without realigning the data. If freq is passed (in this case, the index must be date or datetime, or it will raise a ...
pandas.Series.first — pandas 2.2.3 documentation - PyData |
For a DataFrame with a sorted DatetimeIndex, this function can select the first few rows based on a date offset. Parameters: offsetstr, DateOffset or dateutil.
pandas.Series.dt.days_in_month — pandas 2.2.3 documentation
pandas.Series.dt.days_in_month# ... The number of days in the month. ... Created using Sphinx 8.0.2. Built with the PyData Sphinx Theme 0.14.4.
pandas.Series.dt.timetz — pandas 2.2.3 documentation - PyData |
pandas.Series.dt.timetz# ... Returns numpy array of datetime.time objects with timezones. The time part of the Timestamps. ... Created using Sphinx 8.0.2. Built ...
pandas.Series.to_numpy — pandas 2.2.3 documentation - PyData |
Specify the dtype to control how datetime-aware data is represented. Use dtype=object to return an ndarray of pandas Timestamp objects, each with the correct tz ...
pandas.Series.between_time — pandas 2.2.3 documentation
Series or DataFrame. Data from the original object filtered to the specified dates range. Raises: TypeError. If the index ...
pandas.Series.last — pandas 2.2.3 documentation - PyData |
Select final periods of time series data based on a date offset. Deprecated since version 2.1: last() is deprecated and will be removed in a future version.