Bar

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import hvplot.xarray  # noqa
import xarray as xr

Introduction

A bar plot represents categorical data with rectangular bars with heights proportional to the numerical values that they represent. The x-axis represents the categories and the y axis represents the numerical value scale. The bars are of equal width which allows for instant comparison of data.

Data

Let’s load some data.

ds = xr.tutorial.open_dataset('air_temperature').load()
air = ds.air
air1d = air.sel(lon=285.,lat=40.).groupby('time.month').mean()
air1d

<xarray.DataArray 'air' (month: 12)>
array([272.57443, 272.86398, 275.42163, 282.50516, 288.46164, 293.99957,
       296.62262, 295.0935 , 292.44055, 288.141  , 279.71478, 276.71912],
      dtype=float32)
Coordinates:
    lat      float32 40.0
    lon      float32 285.0
  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12
Attributes:
    long_name:     4xDaily Air temperature at sigma level 995
    units:         degK
    precision:     2
    GRIB_id:       11
    GRIB_name:     TMP
    var_desc:      Air temperature
    dataset:       NMC Reanalysis
    level_desc:    Surface
    statistic:     Individual Obs
    parent_stat:   Other
    actual_range:  [185.16 322.1 ]

xarray.DataArray

'air'

• month: 12

• 272.6 272.9 275.4 282.5 288.5 294.0 ... 295.1 292.4 288.1 279.7 276.7

  array([272.57443, 272.86398, 275.42163, 282.50516, 288.46164, 293.99957,
         296.62262, 295.0935 , 292.44055, 288.141  , 279.71478, 276.71912],
        dtype=float32)

• Coordinates: (3)
  • lat
    ()
    float32
    40.0

    standard_name :

    latitude

    long_name :

    Latitude

    units :

    degrees_north

    axis :

    Y

    array(40., dtype=float32)

  • lon
    ()
    float32
    285.0

    standard_name :

    longitude

    long_name :

    Longitude

    units :

    degrees_east

    axis :

    X

    array(285., dtype=float32)

  • month
    (month)
    int64
    1 2 3 4 5 6 7 8 9 10 11 12

    array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])

• Indexes: (1)
  • month
    PandasIndex

    PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype='int64', name='month'))

• Attributes: (11)

  long_name :

  4xDaily Air temperature at sigma level 995

  units :

  degK

  precision :

  2

  GRIB_id :

  11

  GRIB_name :

  TMP

  var_desc :

  Air temperature

  dataset :

  NMC Reanalysis

  level_desc :

  Surface

  statistic :

  Individual Obs

  parent_stat :

  Other

  actual_range :

  [185.16 322.1 ]

Basic Bar Plots

air1d.hvplot.bar(y='air', height=500, title="Air Temperature by Month")

This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.

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Download this notebook from GitHub (right-click to download).