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To change the default color of the marker, add a color parameter inside the scatter(function). For example,
import matplotlib.pyplot as plt
import pandas as pd
df = pd.read_excel(r’F:\Book_list.xlsx’)
x= df.Old_Price
y= df.New_Price
plt.figure(figsize=(2,2))
plt.scatter(x,y,c= ‘orange’,marker=’^’)
plt.xticks (fontsize = 20)
plt.yticks (fontsize = 20)
plt.xlabel (“Old Price”, fontsize = 20)
plt.ylabel (“New Price”, fontsize = 20)
plt.show()
The output of the above code is shown in the figure given below:
u Bar Chart: A chart that displays a set of categorical
data (continuous data can be made categorical by
auto-binning) is called Bar Chart. This chart is used to
display data using a number of bars, each representing
a particular category. In bar charts, we can easily color
or split each bar into another categorical column in
the data.
This is an illustration of bar graph in which three bars are used to display the three parameters existing in the
following table:
110
110