abs() Return an object with absolute value taken–only applicable to objects that are all numeric. add(other[, axis]) Addition of series and other, element-wise (binary operator add). add_prefix(prefix) Concatenate prefix string with panel items names. add_suffix(suffix) Concatenate suffix string with panel items names. agg(func, *args, **kwargs) aggregate(func, *args, **kwargs) align(other, **kwargs) all([axis, bool_only, skipna, level]) Return whether all elements are True over requested axis any([axis, bool_only, skipna, level]) Return whether any element is True over requested axis apply(func[, axis]) Applies function along axis (or axes) of the Panel as_blocks([copy]) Convert the frame to a dict of dtype -> Constructor Types that each has a homogeneous dtype. as_matrix() asfreq(freq[, method, how, normalize, ...]) Convert TimeSeries to specified frequency. asof(where[, subset]) The last row without any NaN is taken (or the last row without astype(dtype[, copy, errors]) Cast object to input numpy.dtype at_time(time[, asof]) Select values at particular time of day (e.g. between_time(start_time, end_time[, ...]) Select values between particular times of the day (e.g., 9:00-9:30 AM). bfill([axis, inplace, limit, downcast]) Synonym for DataFrame.fillna(method='bfill') bool() Return the bool of a single element PandasObject. clip([lower, upper, axis]) Trim values at input threshold(s). clip_lower(threshold[, axis]) Return copy of the input with values below given value(s) truncated. clip_upper(threshold[, axis]) Return copy of input with values above given value(s) truncated. compound([axis, skipna, level]) Return the compound percentage of the values for the requested axis conform(frame[, axis]) Conform input DataFrame to align with chosen axis pair. consolidate([inplace]) DEPRECATED: consolidate will be an internal implementation only. convert_objects([convert_dates, ...]) Deprecated. copy([deep]) Make a copy of this objects data. count([axis]) Return number of observations over requested axis. cummax([axis, skipna]) Return cumulative max over requested axis. cummin([axis, skipna]) Return cumulative minimum over requested axis. cumprod([axis, skipna]) Return cumulative product over requested axis. cumsum([axis, skipna]) Return cumulative sum over requested axis. describe([percentiles, include, exclude]) Generates descriptive statistics that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values. div(other[, axis]) Floating division of series and other, element-wise (binary operator truediv). divide(other[, axis]) Floating division of series and other, element-wise (binary operator truediv). drop(labels[, axis, level, inplace, errors]) Return new object with labels in requested axis removed. dropna([axis, how, inplace]) Drop 2D from panel, holding passed axis constant eq(other[, axis]) Wrapper for comparison method eq equals(other) Determines if two NDFrame objects contain the same elements. ffill([axis, inplace, limit, downcast]) Synonym for DataFrame.fillna(method='ffill') fillna([value, method, axis, inplace, ...]) Fill NA/NaN values using the specified method filter([items, like, regex, axis]) Subset rows or columns of dataframe according to labels in the specified index. first(offset) Convenience method for subsetting initial periods of time series data based on a date offset. floordiv(other[, axis]) Integer division of series and other, element-wise (binary operator floordiv). fromDict(data[, intersect, orient, dtype]) Construct Panel from dict of DataFrame objects from_dict(data[, intersect, orient, dtype]) Construct Panel from dict of DataFrame objects ge(other[, axis]) Wrapper for comparison method ge get(key[, default]) Get item from object for given key (DataFrame column, Panel slice, etc.). get_dtype_counts() Return the counts of dtypes in this object. get_ftype_counts() Return the counts of ftypes in this object. get_value(*args, **kwargs) Quickly retrieve single value at (item, major, minor) location get_values() same as values (but handles sparseness conversions) groupby(function[, axis]) Group data on given axis, returning GroupBy object gt(other[, axis]) Wrapper for comparison method gt head([n]) interpolate([method, axis, limit, inplace, ...]) Interpolate values according to different methods. isnull() Return a boolean same-sized object indicating if the values are null. iteritems() Iterate over (label, values) on info axis join(other[, how, lsuffix, rsuffix]) Join items with other Panel either on major and minor axes column keys() Get the ‘info axis’ (see Indexing for more) kurt([axis, skipna, level, numeric_only]) Return unbiased kurtosis over requested axis using Fisher’s definition of kurtosis (kurtosis of normal == 0.0). kurtosis([axis, skipna, level, numeric_only]) Return unbiased kurtosis over requested axis using Fisher’s definition of kurtosis (kurtosis of normal == 0.0). last(offset) Convenience method for subsetting final periods of time series data based on a date offset. le(other[, axis]) Wrapper for comparison method le lt(other[, axis]) Wrapper for comparison method lt mad([axis, skipna, level]) Return the mean absolute deviation of the values for the requested axis major_xs(key) Return slice of panel along major axis mask(cond[, other, inplace, axis, level, ...]) Return an object of same shape as self and whose corresponding entries are from self where cond is False and otherwise are from other. max([axis, skipna, level, numeric_only]) This method returns the maximum of the values in the object. mean([axis, skipna, level, numeric_only]) Return the mean of the values for the requested axis median([axis, skipna, level, numeric_only]) Return the median of the values for the requested axis min([axis, skipna, level, numeric_only]) This method returns the minimum of the values in the object. minor_xs(key) Return slice of panel along minor axis mod(other[, axis]) Modulo of series and other, element-wise (binary operator mod). mul(other[, axis]) Multiplication of series and other, element-wise (binary operator mul). multiply(other[, axis]) Multiplication of series and other, element-wise (binary operator mul). ne(other[, axis]) Wrapper for comparison method ne notnull() Return a boolean same-sized object indicating if the values are not null. pct_change([periods, fill_method, limit, freq]) Percent change over given number of periods. pipe(func, *args, **kwargs) Apply func(self, *args, **kwargs) pop(item) Return item and drop from frame. pow(other[, axis]) Exponential power of series and other, element-wise (binary operator pow). prod([axis, skipna, level, numeric_only]) Return the product of the values for the requested axis product([axis, skipna, level, numeric_only]) Return the product of the values for the requested axis radd(other[, axis]) Addition of series and other, element-wise (binary operator radd). rank([axis, method, numeric_only, ...]) Compute numerical data ranks (1 through n) along axis. rdiv(other[, axis]) Floating division of series and other, element-wise (binary operator rtruediv). reindex([items, major_axis, minor_axis]) Conform Panel to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. reindex_axis(labels[, axis, method, level, ...]) Conform input object to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. reindex_like(other[, method, copy, limit, ...]) Return an object with matching indices to myself. rename([items, major_axis, minor_axis]) Alter axes input function or functions. rename_axis(mapper[, axis, copy, inplace]) Alter index and / or columns using input function or functions. replace([to_replace, value, inplace, limit, ...]) Replace values given in ‘to_replace’ with ‘value’. resample(rule[, how, axis, fill_method, ...]) Convenience method for frequency conversion and resampling of time series. rfloordiv(other[, axis]) Integer division of series and other, element-wise (binary operator rfloordiv). rmod(other[, axis]) Modulo of series and other, element-wise (binary operator rmod). rmul(other[, axis]) Multiplication of series and other, element-wise (binary operator rmul). round([decimals]) Round each value in Panel to a specified number of decimal places. rpow(other[, axis]) Exponential power of series and other, element-wise (binary operator rpow). rsub(other[, axis]) Subtraction of series and other, element-wise (binary operator rsub). rtruediv(other[, axis]) Floating division of series and other, element-wise (binary operator rtruediv). sample([n, frac, replace, weights, ...]) Returns a random sample of items from an axis of object. select(crit[, axis]) Return data corresponding to axis labels matching criteria sem([axis, skipna, level, ddof, numeric_only]) Return unbiased standard error of the mean over requested axis. set_axis(axis, labels) public verson of axis assignment set_value(*args, **kwargs) Quickly set single value at (item, major, minor) location shift([periods, freq, axis]) Shift index by desired number of periods with an optional time freq. skew([axis, skipna, level, numeric_only]) Return unbiased skew over requested axis slice_shift([periods, axis]) Equivalent to shift without copying data. sort_index([axis, level, ascending, ...]) Sort object by labels (along an axis) sort_values(by[, axis, ascending, inplace, ...]) squeeze([axis]) Squeeze length 1 dimensions. std([axis, skipna, level, ddof, numeric_only]) Return sample standard deviation over requested axis. sub(other[, axis]) Subtraction of series and other, element-wise (binary operator sub). subtract(other[, axis]) Subtraction of series and other, element-wise (binary operator sub). sum([axis, skipna, level, numeric_only]) Return the sum of the values for the requested axis swapaxes(axis1, axis2[, copy]) Interchange axes and swap values axes appropriately swaplevel([i, j, axis]) Swap levels i and j in a MultiIndex on a particular axis tail([n]) take(indices[, axis, convert, is_copy]) Analogous to ndarray.take toLong(*args, **kwargs) to_clipboard([excel, sep]) Attempt to write text representation of object to the system clipboard This can be pasted into Excel, for example. to_dense() Return dense representation of NDFrame (as opposed to sparse) to_excel(path[, na_rep, engine]) Write each DataFrame in Panel to a separate excel sheet to_frame([filter_observations]) Transform wide format into long (stacked) format as DataFrame whose columns are the Panel’s items and whose index is a MultiIndex formed of the Panel’s major and minor axes. to_hdf(path_or_buf, key, **kwargs) Write the contained data to an HDF5 file using HDFStore. to_json([path_or_buf, orient, date_format, ...]) Convert the object to a JSON string. to_latex([buf, columns, col_space, header, ...]) Render an object to a tabular environment table. to_long(*args, **kwargs) to_msgpack([path_or_buf, encoding]) msgpack (serialize) object to input file path to_pickle(path[, compression]) Pickle (serialize) object to input file path. to_sparse(*args, **kwargs) NOT IMPLEMENTED: do not call this method, as sparsifying is not supported for Panel objects and will raise an error. to_sql(name, con[, flavor, schema, ...]) Write records stored in a DataFrame to a SQL database. to_xarray() Return an xarray object from the pandas object. transpose(*args, **kwargs) Permute the dimensions of the Panel truediv(other[, axis]) Floating division of series and other, element-wise (binary operator truediv). truncate([before, after, axis, copy]) Truncates a sorted NDFrame before and/or after some particular index value. tshift([periods, freq, axis]) tz_convert(tz[, axis, level, copy]) Convert tz-aware axis to target time zone. tz_localize(tz[, axis, level, copy, ambiguous]) Localize tz-naive TimeSeries to target time zone. update(other[, join, overwrite, ...]) Modify Panel in place using non-NA values from passed Panel, or object coercible to Panel. var([axis, skipna, level, ddof, numeric_only]) Return unbiased variance over requested axis. where(cond[, other, inplace, axis, level, ...]) Return an object of same shape as self and whose corresponding entries are from self where cond is True and otherwise are from other. xs(key[, axis]) Return slice of panel along selected axis
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