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pandas.Panel

class pandas.Panel(data=None, items=None, major_axis=None, minor_axis=None, copy=False, dtype=None)[source]
Represents wide format panel data, stored as 3-dimensional array

Deprecated since version 0.20.0: The recommended way to represent 3-D data are with a MultiIndex on a DataFrame via the to_frame() method or with the xarray package. Pandas provides a to_xarray() method to automate this conversion.

Parameters:

data : ndarray (items x major x minor), or dict of DataFrames

items : Index or array-like

axis=0

major_axis : Index or array-like

axis=1

minor_axis : Index or array-like

axis=2

dtype : dtype, default None

Data type to force, otherwise infer

copy : boolean, default False

Copy data from inputs. Only affects DataFrame / 2d ndarray input

Attributes

at Access a single value for a row/column label pair.
axes Return index label(s) of the internal NDFrame
blocks (DEPRECATED) Internal property, property synonym for as_blocks()
dtypes Return the dtypes in the DataFrame.
empty Indicator whether DataFrame is empty.
ftypes Return the ftypes (indication of sparse/dense and dtype) in DataFrame.
iat Access a single value for a row/column pair by integer position.
iloc Purely integer-location based indexing for selection by position.
items
ix A primarily label-location based indexer, with integer position fallback.
loc Access a group of rows and columns by label(s) or a boolean array.
major_axis
minor_axis
ndim Return an int representing the number of axes / array dimensions.
shape Return a tuple of axis dimensions
size Return an int representing the number of elements in this object.
values Return a Numpy representation of the DataFrame.
is_copy  

Methods

abs() Return a Series/DataFrame with absolute numeric value of each element.
add(other[, axis]) Addition of series and other, element-wise (binary operator add).
add_prefix(prefix) Prefix labels with string prefix.
add_suffix(suffix) Suffix labels with string suffix.
align(other, **kwargs) Align two objects on their axes with the specified join method for each axis Index
all([axis, bool_only, skipna, level]) Return whether all elements are True, potentially over an 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]) (DEPRECATED) Convert the frame to a dict of dtype -> Constructor Types that each has a homogeneous dtype.
as_matrix() Convert the frame to its Numpy-array representation.
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 NaN considering only the subset of columns in the case of a DataFrame)
astype(dtype[, copy, errors]) Cast a pandas object to a specified dtype 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, inplace]) Trim values at input threshold(s).
clip_lower(threshold[, axis, inplace]) Trim values below a given threshold.
clip_upper(threshold[, axis, inplace]) Trim values above a given threshold.
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) Compute NDFrame with “consolidated” internals (data of each dtype grouped together in a single ndarray).
convert_objects([convert_dates, …]) (DEPRECATED) Attempt to infer better dtype for object columns.
copy([deep]) Make a copy of this object’s indices and data.
count([axis]) Return number of observations over requested axis.
cummax([axis, skipna]) Return cumulative maximum over a DataFrame or Series axis.
cummin([axis, skipna]) Return cumulative minimum over a DataFrame or Series axis.
cumprod([axis, skipna]) Return cumulative product over a DataFrame or Series axis.
cumsum([axis, skipna]) Return cumulative sum over a DataFrame or Series axis.
describe([percentiles, include, exclude]) Generate 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).
droplevel(level[, axis]) Return DataFrame with requested index / column level(s) 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.
first_valid_index() Return index for first non-NA/null value.
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 counts of unique dtypes in this object.
get_ftype_counts() (DEPRECATED) Return counts of unique ftypes in this object.
get_value(*args, **kwargs) (DEPRECATED) Quickly retrieve single value at (item, major, minor) location
get_values() Return an ndarray after converting sparse values to dense.
groupby(function[, axis]) Group data on given axis, returning GroupBy object
gt(other[, axis]) Wrapper for comparison method gt
head([n]) Return the first n rows.
infer_objects() Attempt to infer better dtypes for object columns.
interpolate([method, axis, limit, inplace, …]) Interpolate values according to different methods.
isna() Detect missing values.
isnull() Detect missing values.
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.
last_valid_index() Return index for last non-NA/null value.
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, …]) Replace values where the condition is True.
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
notna() Detect existing (non-missing) values.
notnull() Detect existing (non-missing) values.
pct_change([periods, fill_method, limit, freq]) Percentage change between the current and a prior element.
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(*args, **kwargs) 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 the name of the index or columns.
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, …]) Return a random sample of items from an axis of object.
select(crit[, axis]) (DEPRECATED) 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(labels[, axis, inplace]) Assign desired index to given axis.
set_value(*args, **kwargs) (DEPRECATED) 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 Normalized by N-1
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, …]) NOT IMPLEMENTED: do not call this method, as sorting values is not supported for Panel objects and will raise an error.
squeeze([axis]) Squeeze 1 dimensional axis objects into scalars.
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]) Return the last n rows.
take(indices[, axis, convert, is_copy]) Return the elements in the given positional indices along an axis.
to_clipboard([excel, sep]) Copy object to the system clipboard.
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_msgpack([path_or_buf, encoding]) msgpack (serialize) object to input file path
to_pickle(path[, compression, protocol]) Pickle (serialize) object to file.
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[, schema, if_exists, …]) 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]) Truncate a Series or DataFrame before and after some index value.
tshift([periods, freq, axis]) Shift the time index, using the index’s frequency if available.
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, …]) Replace values where the condition is False.
xs(key[, axis]) Return slice of panel along selected axis
agg  
aggregate  
drop  
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