Draw a line chart with default settings
import matplotlib.pyplot as plt
fig, ax = plt.subplots(2, 2)
values1 = [
[32, 15, 22],
[28, 31, 33],
[27,26,29],
[22,25,23]
]
values2 = [
[65,60,62],
[57,50,53],
[35,38,36],
[38,40,37]
]
names = [
"chuku","zhixian","zhuanwan","diaotou"
]
for i in range(2):
for j in range(2):
ax[i][j].plot( [1,2,3], values1[2*i+j], [1,2,3], values2[2*i+j])
ax[i][j].set_title(names[2*i+j])
ax[i][j].set_xlabel("times")
ax[i][j].set_ylabel("cm")
ax[i][j].set_ylim(10, 70)
ax[i][j].grid(True)
fig.legend(['20230505','1.5.1.0410'],loc='upper right')
plt.show()
Effect:
Line chart after setting the interval
import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator
x_major_locator=MultipleLocator(1) # 把刻度间隔设置为1,并存在变量中
fig, ax = plt.subplots(2, 2)
values1 = [
[32, 15, 22],
[28, 31, 33],
[27,26,29],
[22,25,23]
]
values2 = [
[65,60,62],
[57,50,53],
[35,38,36],
[38,40,37]
]
names = [
"chuku","zhixian","zhuanwan","diaotou"
]
for i in range(2):
for j in range(2):
ax[i][j].plot( [1,2,3], values1[2*i+j], [1,2,3], values2[2*i+j])
ax[i][j].set_title(names[2*i+j])
ax[i][j].set_xlabel("times")
ax[i][j].set_ylabel("cm")
ax[i][j].set_ylim(10, 70)
ax[i][j].xaxis.set_major_locator(x_major_locator) # 把x轴设置为1的倍数
ax[i][j].grid(True)
fig.legend(['QA_20230505_daily','1.5.1.0410'],loc='upper right')
plt.show()
Effect:
The effect after removing the grid lines
import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator
x_major_locator=MultipleLocator(1)
fig, ax = plt.subplots(2, 2)
values1 = [
[32, 15, 22],
[28, 31, 33],
[27,26,29],
[22,25,23]
]
values2 = [
[65,60,62],
[57,50,53],
[35,38,36],
[38,40,37]
]
names = [
"chuku","zhixian","zhuanwan","diaotou"
]
for i in range(2):
for j in range(2):
ax[i][j].plot( [1,2,3], values1[2*i+j], [1,2,3], values2[2*i+j])
ax[i][j].set_title(names[2*i+j])
ax[i][j].set_xlabel("times")
ax[i][j].set_ylabel("cm")
ax[i][j].set_ylim(10, 70)
ax[i][j].xaxis.set_major_locator(x_major_locator)
ax[i][j].grid(False)
fig.legend(['QA_20230505_daily','1.5.1.0410'],loc='upper right')
plt.show()
Effect:
Reference:
https://www.runoob.com/matplotlib/matplotlib-grid.html
https://blog.csdn.net/gdengden/article/details/103847847/