matplotlib 3.5.1

Other ParametersParametersBackRef
ylabel(ylabel, fontdict=None, labelpad=None, *, loc=None, **kwargs)

Other Parameters

**kwargs : `.Text` properties

:None:None:`.Text` properties control the appearance of the label.

Parameters

ylabel : str

The label text.

labelpad : float, default: :rc:`axes.labelpad`

Spacing in points from the Axes bounding box including ticks and tick labels. If None, the previous value is left as is.

loc : {'bottom', 'center', 'top'}, default: :rc:`yaxis.labellocation`

The label position. This is a high-level alternative for passing parameters y and horizontalalignment.

Set the label for the y-axis.

See Also

text

Documents the properties supported by :None:None:`.Text`.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy

80 Elements
scipy.signal.exponential
scipy.signal.windows._windows.boxcar
scipy.signal._filter_design.gammatone
scipy.signal._ltisys.dimpulse
scipy.signal.bartlett
scipy.signal.windows._windows.barthann
scipy.signal.chebwin
scipy.signal.boxcar
scipy.signal.windows._windows.hann
scipy.signal.blackmanharris
scipy.signal._filter_design.lp2lp
scipy.integrate._quad_vec.quad_vec
scipy.signal.windows._windows.chebwin
scipy.signal.parzen
scipy.signal._filter_design.cheb1ord
scipy.signal._filter_design.buttord
scipy.signal.barthann
scipy.signal._filter_design.sosfreqz
scipy.signal.windows._windows.general_cosine
scipy.signal.flattop
scipy.signal._ltisys.dstep
scipy.signal.windows._windows.triang
scipy.signal._filter_design.ellip
scipy.signal.windows._windows.exponential
scipy.signal._filter_design.lp2bs
scipy.signal.windows._windows.blackman
scipy.signal.windows._windows.cosine
scipy.signal.gaussian
scipy.signal._fir_filter_design.kaiserord
scipy.signal._filter_design.butter
scipy.signal._filter_design.group_delay
scipy.signal._spectral_py.csd
scipy.signal.windows._windows.tukey
scipy.signal._filter_design.bessel
scipy.signal._filter_design.bilinear
scipy.signal.hann
scipy.signal.tukey
scipy.signal._ltisys.step
scipy.signal.bohman
scipy.signal._spectral_py.istft
scipy.signal.hamming
scipy.signal.windows._windows.kaiser
scipy.signal.cosine
scipy.misc._common.electrocardiogram
scipy.signal._waveforms.chirp
scipy.linalg._basic.lstsq
scipy.signal._ltisys.step2
scipy.signal._waveforms.unit_impulse
scipy.signal.windows._windows.taylor
scipy.signal._spectral_py.welch
scipy.signal.windows._windows.bartlett
scipy.signal._filter_design.lp2hp
scipy.signal.triang
scipy.special._orthogonal.hermite
scipy.signal.windows._windows.bohman
scipy.signal._spectral_py.spectrogram
scipy.optimize._minpack_py.curve_fit
scipy.signal._spectral_py.periodogram
scipy.signal.windows._windows.nuttall
scipy.signal.blackman
scipy.signal._filter_design.freqs
scipy.signal.windows._windows.general_gaussian
scipy.signal.windows._windows.gaussian
scipy.signal.windows._windows.flattop
scipy.signal._filter_design.lp2bp
scipy.signal.kaiser
scipy.signal._spectral_py.coherence
scipy.signal.general_gaussian
scipy.signal._spectral_py.stft
scipy.signal.windows._windows.parzen
scipy.signal._filter_design.freqs_zpk
scipy.signal.nuttall
scipy.signal._filter_design.cheby1
scipy.signal.windows._windows.blackmanharris
scipy.integrate._bvp.solve_bvp
scipy.signal._filter_design.ellipord
scipy.signal._filter_design.cheby2
scipy.signal.windows._windows.hamming
scipy.signal._filter_design.bilinear_zpk
scipy.signal._filter_design.cheb2ord

dask

dask.array.ufunc.wrap_elemwise.<locals>.wrapped
dask.array.ufunc.sin

matplotlib

matplotlib.pyplot.plotting

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


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