I have a large Pandas DataFrame that contains three columns: two different dates and one of measurement (floats). I want to plot a 3d figure (eg. trisurf, plot_surface, etc) where the dates are on the x and y axes and measurement is on the z axis. I tried using the suggestions in this post, but it isn't helpful.
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.dates as dates
import datetime
import matplotlib.ticker as ticker
import pandas as pd
df = pd.DataFrame()
df['date1'] = pd.date_range(start='2018-01-05', end='2018-04-15', freq='1D')
df['date2'] = pd.date_range(start='2018-01-19', end='2018-04-29', freq='1D')
df['mydata'] = np.sin(2*np.linspace(-1,1,len(df))) # dummy variable
def format_date(x, pos=None):
return dates.num2date(x).strftime('%Y-%m-%d') #use FuncFormatter to format dates
plt.figure()
ax = Axes3D(fig,rect=[0,0.1,1,1]) #make room for date labels
ax.plot_trisurf(df.date1, df.date2, df.mydata, cmap=cm.coolwarm, linewidth=0.2)
ax.w_xaxis.set_major_locator(ticker.FixedLocator(some_dates)) # I want all the dates on my xaxis
ax.w_xaxis.set_major_formatter(ticker.FuncFormatter(format_date))
ax.w_yaxis.set_major_locator(ticker.FixedLocator(some_dates))
ax.w_yaxis.set_major_formatter(ticker.FuncFormatter(format_date))
for tl in ax.w_xaxis.get_ticklabels(): # re-create what autofmt_xdate but with w_xaxis
tl.set_ha('right')
tl.set_rotation(30)
for tl in ax.w_yaxis.get_ticklabels():
tl.set_ha('right')
#tl.set_rotation(30)
ax.set_xlabel('date1')
ax.set_ylabel('date2')
ax.set_zlabel('mydata')
plt.show()
I keep getting the error RuntimeError: Error in qhull Delaunay triangulation calculation: singular input data (exitcode=2); use python verbose option (-v) to see original qhull error. What am I doing wrong and how do I resolve it?
