Values detectors (freq & counts)#

Plot method for values count and freq detectors

pdcleaner.plots.freqandcount.plot(self, nfirst=0, nlast=0, figsize=None, color='green', errors_color='red', not_displayed_color='grey')[source]#

plot a countplot of values frequency, with options to compact the graph

Parameters:

  • nfirst (int) – Number of top n values to display

  • nlast (Bool (Default: True)) – Number of n last values to display

  • figsize ((float, float) (Default: None)) – width and height of the figure.

  • color (palette name (Default: "green")) – Color associated to legitimate values. Should be something that can be interpreted by seaborn’s color_palette()

  • errors_color (palette name (Default: "red")) – Color associated to erroneous values. Should be something that can be interpreted by seaborn’s color_palette()

  • not_displayed_color (str, color name (Default = "grey")) – Box color for the number of hidden values

Returns:

axs – matplotlib axes objects representing the plots

Return type:

matplotlib.axes._subplots.AxesSubplot

Raises:

  • ValueError if nfirst or nlast is <0 –

  • TypeError if nfirst or nlast is not an integer –

Examples

>>> series = pd.Series(['cat','cat','dog', 'dog','dog','bird'])
>>> detector = series.cleaner.detect.freq(freq=.2)
>>> detector.plot()
../../_images/plot_freq.png 
>>> detector.plot(nfirst=1, nlast=1)
../../_images/plot_freq_nfirst_nlast.png