Index objects¶

Index¶

Constructor

Index([data, dtype, copy, name, ...])

Properties

`Index.values`	Return an array representing the data in the Index.
`Index.is_monotonic_increasing`	Return a boolean if the values are equal or increasing.
`Index.is_monotonic_decreasing`	Return a boolean if the values are equal or decreasing.
`Index.is_unique`	Return if the index has unique values.
`Index.has_duplicates`	Check if the Index has duplicate values.
`Index.dtype`	Get the dtype object of the underlying data.
`Index.shape`	Get a tuple of the shape of the underlying data.
`Index.name`	Get the index name.
`Index.names`	Get names of index
`Index.ndim`	Number of dimensions of the underlying data, by definition 1.
`Index.size`	Get the number of elements in the underlying data.
`Index.empty`	Whether the index is empty.
`Index.T`	Return the transpose, which is by definition self.
`Index.nlevels`	Number of levels.
`Index.array`	return the array of values
`Index.str`	Vectorized string functions for Series and Index.

Snowflake Specific

Index.to_pandas(*[, statement_params])

Convert Snowpark pandas Index to pandas Index.

Modifying and computations

`Index.all`(args, *kwargs)	Return whether all elements are Truthy.
`Index.any`(args, *kwargs)	Return whether any element is Truthy.
`Index.argmin`([axis, skipna])	Return int position of the smallest value in the Series.
`Index.argmax`([axis, skipna])	Return int position of the largest value in the Series.
`Index.copy`([name, deep])	Make a copy of this object.
`Index.equals`(other)	Determine if two Index objects are equal.
`Index.identical`(other)	Similar to equals, but checks that object attributes and types are also equal.
`Index.is_boolean`()	Check if the Index only consists of booleans.
`Index.is_floating`()	Check if the Index is a floating type.
`Index.is_integer`()	Check if the Index only consists of integers.
`Index.is_numeric`()	Check if the Index only consists of numeric data.
`Index.is_object`()	Check if the Index is of the object dtype.
`Index.item`()	Return the first element of the underlying data as a Python scalar.
`Index.min`([axis, skipna])	Return the minimum value of the Index.
`Index.max`([axis, skipna])	Return the maximum value of the Index.
`Index.reindex`(target[, method, level, ...])	Create index with target's values.
`Index.rename`(name[, inplace])	Alter Index or MultiIndex name.
`Index.unique`([level])	Return unique values in the index.
`Index.nunique`([dropna])	Return number of unique elements in the object.
`Index.value_counts`([normalize, sort, ...])	Return a Series containing counts of unique values.

Compatibility with MultiIndex

Index.set_names(names[, level, inplace])

Set Index name.

Conversion

`Index.astype`(dtype[, copy])	Create an Index with values cast to dtypes.
`Index.item`()	Return the first element of the underlying data as a Python scalar.
`Index.to_list`()	Return a list of the values.
`Index.tolist`()	Return a list of the values.
`Index.to_series`([index, name])	Create a Series with both index and values equal to the index keys.
`Index.to_frame`([index, name])	Create a `DataFrame` with a column containing the Index.

Sorting

Index.sort_values([return_indexer, ...])

Return a sorted copy of the index.

DatetimeIndex¶

DatetimeIndex([data, freq, tz, normalize, ...])

DatetimeIndex Time/date components

`DatetimeIndex.year`	The year of the datetime.
`DatetimeIndex.month`	The month as January=1, December=12.
`DatetimeIndex.day`	The day of the datetime.
`DatetimeIndex.hour`	The hours of the datetime.
`DatetimeIndex.minute`	The minutes of the datetime.
`DatetimeIndex.second`	The seconds of the datetime.
`DatetimeIndex.microsecond`	The microseconds of the datetime.
`DatetimeIndex.nanosecond`	The nanoseconds of the datetime.
`DatetimeIndex.date`	Returns the date part of Timestamps without time and timezone information.
`DatetimeIndex.time`	Returns the time part of the Timestamps.
`DatetimeIndex.timetz`	Returns the time part of the Timestamps with timezone.
`DatetimeIndex.dayofyear`	The ordinal day of the year.
`DatetimeIndex.day_of_year`	The ordinal day of the year.
`DatetimeIndex.dayofweek`	The day of the week with Monday=0, Sunday=6.
`DatetimeIndex.day_of_week`	The day of the week with Monday=0, Sunday=6.
`DatetimeIndex.weekday`	The day of the week with Monday=0, Sunday=6.
`DatetimeIndex.quarter`	The quarter of the date.
`DatetimeIndex.tz`	Return the timezone.
`DatetimeIndex.freq`	Return the frequency object if it's set, otherwise None.
`DatetimeIndex.freqstr`	Return the frequency object as a string if it's set, otherwise None.
`DatetimeIndex.is_month_start`	Indicates whether the date is the first day of the month.
`DatetimeIndex.is_month_end`	Indicates whether the date is the last day of the month.
`DatetimeIndex.is_quarter_start`	Indicator for whether the date is the first day of a quarter.
`DatetimeIndex.is_quarter_end`	Indicator for whether the date is the last day of a quarter.
`DatetimeIndex.is_year_start`	Indicate whether the date is the first day of a year.
`DatetimeIndex.is_year_end`	Indicate whether the date is the last day of the year.
`DatetimeIndex.is_leap_year`	Boolean indicator if the date belongs to a leap year.
`DatetimeIndex.inferred_freq`	Tries to return a string representing a frequency generated by infer_freq.

DatetimeIndex Selecting

`DatetimeIndex.indexer_at_time`(time[, asof])	Return index locations of values at particular time of day.
`DatetimeIndex.indexer_between_time`(...[, ...])	Return index locations of values between particular times of day.

DatetimeIndex Time-specific operations

`DatetimeIndex.normalize`()	Convert times to midnight.
`DatetimeIndex.strftime`(date_format)	Convert to Index using specified date_format.
`DatetimeIndex.snap`([freq])	Snap time stamps to nearest occurring frequency.
`DatetimeIndex.tz_convert`(tz)	Convert tz-aware Datetime Array/Index from one time zone to another.
`DatetimeIndex.tz_localize`(tz[, ambiguous, ...])	Localize tz-naive Datetime Array/Index to tz-aware Datetime Array/Index.
`DatetimeIndex.round`(freq[, ambiguous, ...])	Perform round operation on the data to the specified freq.
`DatetimeIndex.floor`(freq[, ambiguous, ...])	Perform floor operation on the data to the specified freq.
`DatetimeIndex.ceil`(freq[, ambiguous, ...])	Perform ceil operation on the data to the specified freq.
`DatetimeIndex.month_name`([locale])	Return the month names with specified locale.
`DatetimeIndex.day_name`([locale])	Return the day names with specified locale.

DatetimeIndex Conversion

`DatetimeIndex.as_unit`(unit)	Convert to a dtype with the given unit resolution.
`DatetimeIndex.to_period`([freq])	Cast to PeriodArray/PeriodIndex at a particular frequency.
`DatetimeIndex.to_pydatetime`()	Return a ndarray of `datetime.datetime` objects.
`DatetimeIndex.to_series`([index, name])	Create a Series with both index and values equal to the index keys.
`DatetimeIndex.to_frame`([index, name])	Create a `DataFrame` with a column containing the Index.

DatetimeIndex Methods

`DatetimeIndex.mean`(*[, skipna, axis])	Return the mean value of the Array.
`DatetimeIndex.std`([axis, dtype, out, ddof, ...])	Return sample standard deviation over requested axis.

TimedeltaIndex¶

TimedeltaIndex([data, unit, freq, dtype, ...])

TimedeltaIndex Components

`TimedeltaIndex.days`	Number of days for each element.
`TimedeltaIndex.seconds`	Number of seconds (>= 0 and less than 1 day) for each element.
`TimedeltaIndex.microseconds`	Number of microseconds (>= 0 and less than 1 second) for each element.
`TimedeltaIndex.nanoseconds`	Number of nonoseconds (>= 0 and less than 1 microsecond) for each element.
`TimedeltaIndex.components`	Return a DataFrame of the individual resolution components of the Timedeltas.
`TimedeltaIndex.inferred_freq`	Tries to return a string representing a frequency generated by infer_freq.

TimedeltaIndex Conversion

`TimedeltaIndex.as_unit`(unit)	Convert to a dtype with the given unit resolution.
`TimedeltaIndex.to_pytimedelta`()	Return an ndarray of datetime.timedelta objects.
`TimedeltaIndex.round`(freq)	Perform round operation on the data to the specified freq.
`TimedeltaIndex.floor`(freq)	Perform floor operation on the data to the specified freq.
`TimedeltaIndex.ceil`(freq)	Perform ceil operation on the data to the specified freq.

TimedeltaIndex Methods

TimedeltaIndex.mean(*[, skipna, axis])

Return the mean value of the Timedelta values.