Custom Line Color
To custom color, just use the color argument!
Note that you can add transparency to the color with the alpha argument (0=transparent, 1=opaque).
# Libraries and data
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
df=pd.DataFrame({'x_values': range(1,11), 'y_values': np.random.randn(10) })
# Draw plot
plt.plot( 'x_values', 'y_values', data=df, color='skyblue')
plt.show()
# Draw line chart by modifiying transparency of the line
plt.plot( 'x_values', 'y_values', data=df, color='skyblue', alpha=0.3)
# Show plot
plt.show()
Custom Line Style
You can choose between different line styles with the linestyle argument.
# Libraries and data
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
df=pd.DataFrame({'x_values': range(1,11), 'y_values': np.random.randn(10) })
# Draw line chart with dashed line
plt.plot( 'x_values', 'y_values', data=df, linestyle='dashed')
# Show graph
plt.show()
The following examples show different types of line styles.
plt.plot( [1,1.1,1,1.1,1], linestyle='-' , linewidth=4)
plt.text(1.5, 1.3, "linestyle = '-' ", horizontalalignment='left', size='medium', color='C0', weight='semibold')
plt.plot( [2,2.1,2,2.1,2], linestyle='--' , linewidth=4 )
plt.text(1.5, 2.3, "linestyle = '--' ", horizontalalignment='left', size='medium', color='C1', weight='semibold')
plt.plot( [3,3.1,3,3.1,3], linestyle='-.' , linewidth=4 )
plt.text(1.5, 3.3, "linestyle = '-.' ", horizontalalignment='left', size='medium', color='C2', weight='semibold')
plt.plot( [4,4.1,4,4.1,4], linestyle=':' , linewidth=4 )
plt.text(1.5, 4.3, "linestyle = ':' ", horizontalalignment='left', size='medium', color='C3', weight='semibold')
plt.axis('off')
plt.show()
Custom Line Width
Finally you can custom the line width as well using linewidth argument.
# Libraries and data
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
df=pd.DataFrame({'x_values': range(1,11), 'y_values': np.random.randn(10) })
# Modify line width of the graph
plt.plot( 'x_values', 'y_values', data=df, linewidth=22)
# Show graph
plt.show()
