Panel.add(other[, axis]) | Addition of series and other, element-wise (binary operator add). |
Panel.sub(other[, axis]) | Subtraction of series and other, element-wise (binary operator sub). |
Panel.mul(other[, axis]) | Multiplication of series and other, element-wise (binary operator mul). |
Panel.div(other[, axis]) | Floating division of series and other, element-wise (binary operator truediv). |
Panel.truediv(other[, axis]) | Floating division of series and other, element-wise (binary operator truediv). |
Panel.floordiv(other[, axis]) | Integer division of series and other, element-wise (binary operator floordiv). |
Panel.mod(other[, axis]) | Modulo of series and other, element-wise (binary operator mod). |
Panel.pow(other[, axis]) | Exponential power of series and other, element-wise (binary operator pow). |
Panel.radd(other[, axis]) | Addition of series and other, element-wise (binary operator radd). |
Panel.rsub(other[, axis]) | Subtraction of series and other, element-wise (binary operator rsub). |
Panel.rmul(other[, axis]) | Multiplication of series and other, element-wise (binary operator rmul). |
Panel.rdiv(other[, axis]) | Floating division of series and other, element-wise (binary operator rtruediv). |
Panel.rtruediv(other[, axis]) | Floating division of series and other, element-wise (binary operator rtruediv). |
Panel.rfloordiv(other[, axis]) | Integer division of series and other, element-wise (binary operator rfloordiv). |
Panel.rmod(other[, axis]) | Modulo of series and other, element-wise (binary operator rmod). |
Panel.rpow(other[, axis]) | Exponential power of series and other, element-wise (binary operator rpow). |
Panel.lt(other[, axis]) | Wrapper for comparison method lt |
Panel.gt(other[, axis]) | Wrapper for comparison method gt |
Panel.le(other[, axis]) | Wrapper for comparison method le |
Panel.ge(other[, axis]) | Wrapper for comparison method ge |
Panel.ne(other[, axis]) | Wrapper for comparison method ne |
Panel.eq(other[, axis]) | Wrapper for comparison method eq |
Panel.abs() | Return a Series/DataFrame with absolute numeric value of each element. |
Panel.clip([lower, upper, axis, inplace]) | Trim values at input threshold(s). |
Panel.clip_lower(threshold[, axis, inplace]) | (DEPRECATED) Trim values below a given threshold. |
Panel.clip_upper(threshold[, axis, inplace]) | (DEPRECATED) Trim values above a given threshold. |
Panel.count([axis]) | Return number of observations over requested axis. |
Panel.cummax([axis, skipna]) | Return cumulative maximum over a DataFrame or Series axis. |
Panel.cummin([axis, skipna]) | Return cumulative minimum over a DataFrame or Series axis. |
Panel.cumprod([axis, skipna]) | Return cumulative product over a DataFrame or Series axis. |
Panel.cumsum([axis, skipna]) | Return cumulative sum over a DataFrame or Series axis. |
Panel.max([axis, skipna, level, numeric_only]) | Return the maximum of the values for the requested axis. |
Panel.mean([axis, skipna, level, numeric_only]) | Return the mean of the values for the requested axis. |
Panel.median([axis, skipna, level, numeric_only]) | Return the median of the values for the requested axis. |
Panel.min([axis, skipna, level, numeric_only]) | Return the minimum of the values for the requested axis. |
Panel.pct_change([periods, fill_method, …]) | Percentage change between the current and a prior element. |
Panel.prod([axis, skipna, level, …]) | Return the product of the values for the requested axis. |
Panel.sem([axis, skipna, level, ddof, …]) | Return unbiased standard error of the mean over requested axis. |
Panel.skew([axis, skipna, level, numeric_only]) | Return unbiased skew over requested axis Normalized by N-1. |
Panel.sum([axis, skipna, level, …]) | Return the sum of the values for the requested axis. |
Panel.std([axis, skipna, level, ddof, …]) | Return sample standard deviation over requested axis. |
Panel.var([axis, skipna, level, ddof, …]) | Return unbiased variance over requested axis. |
Panel.add_prefix(prefix) | Prefix labels with string prefix. |
Panel.add_suffix(suffix) | Suffix labels with string suffix. |
Panel.drop([labels, axis, index, columns, …]) | |
Panel.equals(other) | Test whether two objects contain the same elements. |
Panel.filter([items, like, regex, axis]) | Subset rows or columns of dataframe according to labels in the specified index. |
Panel.first(offset) | Convenience method for subsetting initial periods of time series data based on a date offset. |
Panel.last(offset) | Convenience method for subsetting final periods of time series data based on a date offset. |
Panel.reindex(*args, **kwargs) | Conform Panel to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. |
Panel.reindex_axis(labels[, axis, method, …]) | (DEPRECATED) Conform input object to new index. |
Panel.reindex_like(other[, method, copy, …]) | Return an object with matching indices as other object. |
Panel.rename([items, major_axis, minor_axis]) | Alter axes input function or functions. |
Panel.sample([n, frac, replace, weights, …]) | Return a random sample of items from an axis of object. |
Panel.select(crit[, axis]) | (DEPRECATED) Return data corresponding to axis labels matching criteria. |
Panel.take(indices[, axis, convert, is_copy]) | Return the elements in the given positional indices along an axis. |
Panel.truncate([before, after, axis, copy]) | Truncate a Series or DataFrame before and after some index value. |
Panel.sort_index([axis, level, ascending, …]) | Sort object by labels (along an axis) |
Panel.swaplevel([i, j, axis]) | Swap levels i and j in a MultiIndex on a particular axis |
Panel.transpose(*args, **kwargs) | Permute the dimensions of the Panel |
Panel.swapaxes(axis1, axis2[, copy]) | Interchange axes and swap values axes appropriately. |
Panel.conform(frame[, axis]) | Conform input DataFrame to align with chosen axis pair. |
Panel.asfreq(freq[, method, how, normalize, …]) | Convert TimeSeries to specified frequency. |
Panel.shift([periods, freq, axis]) | Shift index by desired number of periods with an optional time freq. |
Panel.resample(rule[, how, axis, …]) | Resample time-series data. |
Panel.tz_convert(tz[, axis, level, copy]) | Convert tz-aware axis to target time zone. |
Panel.tz_localize(tz[, axis, level, copy, …]) | Localize tz-naive index of a Series or DataFrame to target time zone. |
Panel.from_dict(data[, intersect, orient, dtype]) | Construct Panel from dict of DataFrame objects. |
Panel.to_pickle(path[, compression, protocol]) | Pickle (serialize) object to file. |
Panel.to_excel(path[, na_rep, engine]) | Write each DataFrame in Panel to a separate excel sheet. |
Panel.to_hdf(path_or_buf, key, **kwargs) | Write the contained data to an HDF5 file using HDFStore. |
Panel.to_sparse(*args, **kwargs) | NOT IMPLEMENTED: do not call this method, as sparsifying is not supported for Panel objects and will raise an error. |
Panel.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. |
Panel.to_clipboard([excel, sep]) | Copy object to the system clipboard. |