matplotlib. pyplot. Hist parameter introduction

The official introduction ：
https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hist.html

matplotlib.pyplot.hist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)

Draw histogram .

	Parameters	explain
parameters	X	Input data , Array , If it is multi-dimensional , The same length is not required
	bins	Histogram interval , Integers 、 Sequence or string , The default value is 10, If it's an integer , Then it is divided into the equal interval width of the number of integer values ; If sequence , front n-1 One is left closed and right open section , The last one is a totally closed interval ; If string , The alternatives are ：numpy.histogram_bin_edges: 'auto', 'fd', 'doane', 'scott', 'stone', 'rice', 'sturges', or 'sqrt'.
	range	tuple perhaps None,bins The upper and lower bounds of , Out of bounds ignore , If it is empty , be range by (x.min(), x.max()), if bins Is a sequence or string , Then the upper and lower bounds and bins Agreement .
	density	Boolean type , Default ：False. If it is true , Plot the probability density distribution (density = counts / (sum(counts) * np.diff(bins))), The area of the histogram is 1,(np.sum(density * np.diff(bins)) == 1)., if stacked It's true , The sum is normalized to 1.
	weights	Array , Default None. And X They have the same shape . if density It's true , be weights normalization , To ensure that the density integral within this range is still 1.
	cumulative	Boolean or -1, Default :False. If it is true , Then each bin Is the cumulative count from the first . if density It's true , The histogram is normalized , And the last one bin by 1. If it is less than 0 Number of numbers , Reverse the cumulative direction .
	bottom	Array , Scalar or none , Default ：None. Interval between histogram and bottom , If it is a scalar , Then the whole body moves upward bottom. If it's an array , be shape And bins matching , Every bin Independent translation .
	histtype	{‘bar’, ‘barstacked’, ‘step’, ‘stepfilled’}, Default : ‘bar’. Type of histogram drawn ：'bar’ Is a traditional bar histogram ,‘barstacked’ It is a bar histogram with multiple data stacked on top of each other ,'step’ Is an unfilled line graph ,‘stepfill’ It's a filled line diagram
	align	Alignment mode ,{‘left’, ‘mid’, ‘right’}, default: ‘mid’
	orientation	Direction ,{‘vertical’, ‘horizontal’}, default: ‘vertical’. Two directions , Default vertical direction , The following boundary is the bottom .‘horizontal’ Is the horizontal histogram with the left as the bottom
	rwidth	Floating point or None. Relative width , If histtype yes ‘step’ perhaps ’stepfilled’, It ignores
	log	Boolean type , Default False. If it is true , Then the histogram scale is logarithmic scale
	color	Color , The default is no
	label	str or None,
	stacked	Boolean type , If it is true , Then multiple data stacks , If it's false , There are two situations ,histtype by ‘bar’ when , Then arrange the data side by side ,histtype by ‘step’ when , The stack
Returns	n	Value of histogram interval , And weight and probability density .
	bins	Array , The length is nbins+1
	patches	Do not understand , It doesn't affect the result
The other parameters	ec	Histogram boundary line color
	alpha	transparency