how to plot a graph using matplotlib
from matplotlib import pyplot as plt plt.plot([0, 1, 2, 3, 4, 5], [0, 1, 4, 9, 16, 25]) plt.show()
how to plot a graph using matplotlib
from matplotlib import pyplot as plt plt.plot([0, 1, 2, 3, 4, 5], [0, 1, 4, 9, 16, 25]) plt.show()
matplotlib plot
import matplotlib.pyplot as plt fig = plt.figure(1) #identifies the figure plt.title("Y vs X", fontsize='16') #title plt.plot([1, 2, 3, 4], [6,2,8,4]) #plot the points plt.xlabel("X",fontsize='13') #adds a label in the x axis plt.ylabel("Y",fontsize='13') #adds a label in the y axis plt.legend(('YvsX'),loc='best') #creates a legend to identify the plot plt.savefig('Y_X.png') #saves the figure in the present directory plt.grid() #shows a grid under the plot plt.show()
python plot
import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [1, 4, 9, 16]) plt.show()
how to import matplotlib.pyplo in python
import matplotlib.pylot as plt
show graph matplotlib axes
import numpy as np import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv("filesc/file1.csv") df.head() BBox = ((df.x.min(), df.x.max(), df.y.min(), df.y.max())) ruh_m = plt.imread('map.png') print(BBox) fig, ax = plt.subplots(figsize = (8,7)) ax.scatter(df.x, df.y, zorder=1, alpha= 0.2, c='b', s=10) ax.set_title('Plotting Spatial Data on Map') ax.set_xlim(BBox[0],BBox[1]) ax.set_ylim(BBox[2],BBox[3]) ax.imshow(ruh_m, zorder=0, extent = BBox, aspect= 'equal') plt.show()
plot in python
import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax1 = fig.add_axes((0.1,0.4,0.5,0.5)) ax1.set_title('Title of Plot') ax1.set_xlabel('X') ax1.set_ylabel('Y') ax1.plot(X,Y,c='black',linestyle='--',linewidth=0.5) ax1.scatter(X,Y,c='red',s=0.5) ax1.legend(['Line','Scatter']) ax1.xaxis.set_ticks([0.0,0.1,0.2,0.3]) ax1.yaxis.set_ticks([0.0,0.1,0.2,0.3]) ax1.grid(which='major') ax1.tick_params(direction='in') txt = 'Write something on the graph page\ \n over one or more lines.' fig.text(0.5,0.05,txt,ha='center') fig.savefig('Figure.pdf')
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