pandas 给定均值和西格玛绘制正态分布-python
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plot normal distribution given mean and sigma - python
提问by tomtom
I have some data in pandas dataframe
我在Pandas数据框中有一些数据
df['Difference'] = df.Congruent.values - df.Incongruent.values
mean = df.Difference.mean()
std = df.Difference.std(ddof=1)
median = df.Difference.median()
mode = df.Difference.mode()
and I want to plot a histogram together with normal distribution in 1 plot. Is there a plotting function that takes mean and sigma as arguments? I don't care whether it is matplotplib, seaborn or ggplot. The best would be if I could mark also mode and median of the data all within 1 plot.
我想在 1 个图中绘制直方图和正态分布。是否有以均值和西格玛为参数的绘图函数？我不在乎它是 matplotplib、seaborn 还是 ggplot。最好的是，如果我也可以在 1 个图中标记所有数据的众数和中位数。
回答by xnx
You can use matplotlib/pylab with scipy.stats.norm.pdfand pass the mean and standard deviation as locand scale:
您可以使用 matplotlib/pylabscipy.stats.norm.pdf并将平均值和标准偏差作为locand传递scale：
import pylab
import numpy as np
from scipy.stats import norm
x = np.linspace(-10,10,1000)
y = norm.pdf(x, loc=2.5, scale=1.5) # for example
pylab.plot(x,y)
pylab.show()
