Just use the marker argument of the plot() function to custom the shape of the data points. The code below produces a scatter plot with star shaped markers (figure on the left). The figure on the right shows you the possible shapes offered by python.
# libraries
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# dataset
df=pd.DataFrame({'x_values': range(1,101), 'y_values': np.random.randn(100)*80+range(1,101) })
# === Left figure:
plt.plot( 'x_values', 'y_values', data=df, linestyle='none', marker='*')
plt.show()
# === Right figure:
all_poss=['.','o','v','^','>','<','s','p','*','h','H','D','d','1','','']
# to see all possibilities:
# markers.MarkerStyle.markers.keys()
# set the limit of x and y axis:
plt.xlim(0.5,4.5)
plt.ylim(0.5,4.5)
# remove ticks and values of axis:
plt.xticks([])
plt.yticks([])
#plt.set_xlabel(size=0)
# Make a loop to add markers one by one
num=0
for x in range(1,5):
for y in range(1,5):
num += 1
plt.plot(x,y,marker=all_poss[num-1], markerfacecolor='orange', markersize=23, markeredgecolor="black")
plt.text(x+0.2, y, all_poss[num-1], horizontalalignment='left', size='medium', color='black', weight='semibold')To change the marker size, just use the markersize argument:
# libraries
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# dataset
df=pd.DataFrame({'x_values': range(1,101), 'y_values': np.random.randn(100)*80+range(1,101) })
# scatter plot
plt.plot( 'x_values', 'y_values', data=df, linestyle='none', marker='D', markersize=16)
plt.show()The color is controlled by the markerfacecolor and markeredgecolor arguments. There are several ways to call a color, see this dedicated page for more information.
# libraries
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# dataset
df=pd.DataFrame({'x_values': range(1,101), 'y_values': np.random.randn(100)*80+range(1,101) })
# scatter plot
plt.plot( 'x_values', 'y_values', data=df, linestyle='none', markerfacecolor='skyblue', marker="o", markeredgecolor="black", markersize=16)
plt.show()As you can control the marker edge color with the markeredgecolor argument, you can also control the marker width with the markeredgewidth argument.
# libraries
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# dataset
df=pd.DataFrame({'x_values': range(1,101), 'y_values': np.random.randn(100)*80+range(1,101) })
# scatter plot
plt.plot( 'x_values', 'y_values', data=df, linestyle='none', marker='D', markersize=16, markeredgecolor="orange", markeredgewidth=5)
plt.show()RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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