#align – to move the position of x-label, has two options ‘edge’ or ‘center’ #edgecolor – used to color the borders of the bar #linewidth – used to adjust the width of the line around the bar #tick_label – to set the customized labels for the x-axis plt.bar(subject,marks...
import pandas as pd#Reading data frm the automobile #data sets using pandas read method df =pd.read_csv(‘Automobile.csv’)df.head() #When you compile this code youwill see the below given o/p as a series of data column wise.将以下编码编写/复制-粘贴至jupyter notebook文件: import matp...
In this example, we first plot two sets of data, and then we add a legend by calling the legend() function with a list of strings representing the legend items.Open Compiler import matplotlib.pyplot as plt # Example data x = [1, 2, 3, 4, 5, 6] y1 = [1, 4, 2, 6, 8, 5...
These objects set thescaleandlimitsandgenerate ticks (the marks on the Axis)and ticklabels (strings labeling the ticks). Thelocationof the ticks is determined by aLocatorobject and theticklabel stringsare formatted by aFormatter. The combination of the correctLocatorandFormattergives very fine contr...
ticks = ax.set_xticks([0,250,500,750,1000]) labels = ax.set_xticklabels(['one','two','three','four','five'], rotation=30, fontsize='small') ax.set_title('some random lines') ax.set_xlabel('Stages') <matplotlib.text.Textat0x28e782525c0> ...
10]) 7、自定义坐标轴刻度：xticks、yticks 8、文本和注释箭头：text、annotate ''' ...
('Revenue Contours') plt.xticks(np.arange(0,0.6,0.1)) plt.yticks(np.arange(0,11000,1000)) plt.annotate('Revenue subtracts $200 of fixed labor costs', (0,0), (0, -50), xycoords='axes fraction', textcoords='offset points', va='top') #plt.savefig('RevContour.png',dpi=500,b...
The horizontal / vertical coordinates of the data points. *x* values are optional and default to ``range(len(y))``. Commonly, these parameters are 1D arrays. They can also be scalars, or two-dimensional (in that case, the columns represent separate data sets). ...
large # fontsize of the axes title #axes.labelsize : medium # fontsize of the x any y labels #axes.labelweight : normal # weight of the x and y labels #axes.labelcolor : black #axes.axisbelow : False # whether axis gridlines and ticks are below # the axes elements (lines, text...
# Sets the titles of the y-axis. plt.yticks(range(len(begin)), authors) # Sets start and end of the x-axis. plt.xlim([1835, 2019]) # --Overlay book information # dataframe columns to arrays book = dataset['YEAR (BOOK)'].values # Plots the books in a scatterplot. Changes mark...