如何在 3D 图上绘制直方图？

Question

I have collected data on an experiment, where I am looking at property A over time, and then making a histogram of property A at a given condition B. Now the deal is that A is collected over an array of B values. So I have a histogram that corresponds to B=B1, B=B2, ..., B=Bn . What I want to do, is construct a 3D plot, with the z axis being for property B, and the x axis being property A, and y axis being counts.

As an example, I want the plot to look like this (B corresponds to Temperature, A corresponds to Rg):

How do I pull this off on python?

Answer 1

The python library joypy can plot graphs like this. But I'm not sure if you also want these molecules within your graph.

Here an example:

import joypy

import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import cm
%matplotlib inline


temp = pd.read_csv("data/daily_temp.csv",comment="%")

labels=[y if y%10==0 else None for y in list(temp.Year.unique())]
fig, axes = joypy.joyplot(temp, by="Year", column="Anomaly", labels=labels, range_style='own', 
                          grid="y", linewidth=1, legend=False, figsize=(6,5),
                          title="Global daily temperature 1880-2014 \n(°C above 1950-80 average)",
                          colormap=cm.autumn_r)

Output:

See this thread as reference.