importnumpyasnpimportmatplotlib.pyplotasplt x1_val=np.linspace(0.0,6.0)x2_val=np.linspace(0.0,3.0)y1_val=np.cos(2.3*np.pi*x1_val)*np.exp(−x1_val)y2_val=np.cos(2.4*np.pi*x2_val)plt.subplot(2,1,1)plt.plot(x1_val,y1_val,'o−')plt.title('2 p...
import matplotlib.pyplot as plt # Assuming you have two GeoDataFrames: gdf1 and gdf2 # Make sure they have the same CRS (if not, set it accordingly) # Create a subplot fig, ax = plt.subplots() # Plot the first GeoDataFrame gdf1.plot(ax=ax, color='blue', label='Houses') # Plo...
min1 max1]); pause(delay); end hold off subplot(2,4,1), hold on % figure (2) % already created with "plotGraph2 = plot(time,data2,'-r')" while ishandle(plotGraph2) dat2 = readVoltage(a, 'A0' ) If loading file from your local machine: % A = csvread('data.csv',2,1)...
import numpy as np import matplotlib.pyplot as plt from cs231n.classifiers.neural_net import TwoLayerNet get_ipython().magic(u'matplotlib inline') plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots plt.rcParams['image.interpolation'] = 'nearest' plt.rcParams['image....
It contains a large number of tools that can be used to create a variety of graphics, including simple linear graphs, scatter plots, sinusoids, and even three-dimensional graphs. Numpy is a Python library for mathematical operations. It was installed when matplotlib was installed. Pyplot is a ...
# A bit of setup # coding:utf-8 import numpy as np import matplotlib.pyplot as plt from cs231n.classifiers.neural_net import TwoLayerNet from __future__ import print_function %matplotlib inline plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots plt.rcParams['imag...
# Start building the plots plt.figure(figsize=(20, 15)) # Current plot plt.subplot(2, 3, 1) plt.plot(data[’V’], np.log10(np.abs(data[’filtered_I’])), marker=’o’, markevery=marker_indices) plt.xlabel(’Voltage(V)’) plt.ylabel(’Current(I)’) plt.grid(True...