I am trying to do a contour plot using data from excel. But I am getting error as "MemoryError: Unable to allocate 55.6 GiB for an array with shape (86400, 86400) and data type float64". If anybody can help me by showing how to solve this and plot the data it will be appreciated. Below I am attaching my code and also a link to the excel data.
import numpy as np
from netCDF4 import num2date
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap,shiftgrid
import seaborn as sns
import pandas as pd
df = pd.read_excel('E:/Super_cyclone/Datasets/tchp/2007_tchp/tchp_2007.xlsx')
x = df.Lon.values
y = df.Lat.values
plt_data = df.TCHP.values
fig = plt.figure(figsize=[7.5,7.5]) # a new figure window
ax = fig.add_subplot(1, 1, 1)
map = Basemap(projection='merc',llcrnrlat=5,urcrnrlat=30,\
llcrnrlon=50,urcrnrlon=80, resolution='i', ax=ax)
map.drawcoastlines()
map.fillcontinents(color='#ffe2ab')
map.drawparallels(np.arange(5.,31.,5.),labels=[1,0,0,0])
map.drawmeridians(np.arange(50.,81.,5.),labels=[1,1,0,1])
#data,lons = shiftgrid(180.,data,lons,start=False)
llons, llats = np.meshgrid(x, y)
lon,lat = map(llons,llats)
plt.style.use('seaborn-white')
#clevels=np.arange(24,32.1,0.5)
cs = map.contourf(x,y,plt_data,cmap=plt.cm.jet)#,clevels,cmap=plt.cm.jet)