78 plot range

https://vlrtraining.com/courses/python-data-science-beginner-tutorial

In [1]:

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 5, 11)
y = x ** 2 
%matplotlib inline

In [15]:

fig = plt.figure()

ax = fig.add_axes([0,0,1,1])

ax.plot(x, y,color="#808000" ,lw=3,ls="steps")

Out[15]:

[<matplotlib.lines.Line2D at 0xa340e80>]

In [17]:

fig = plt.figure()

ax = fig.add_axes([0,0,1,1])

ax.plot(x, y,color="#808000" ,lw=3,ls="steps")
ax.set_xlim([0,2])

Out[17]:

(0, 2)

In [20]:

fig = plt.figure()

ax = fig.add_axes([0,0,1,1])

ax.plot(x, y,color="#808000" ,lw=3,ls="steps")
ax.set_xlim([0,1])
ax.set_ylim([0,2])

Out[20]:

(0, 2)

In [11]:

# MATLAB style line color and style 
fig, ax = plt.subplots()
ax.plot(x, x**2, 'b.-') # blue line with dots
ax.plot(x, x**3, 'g--') # green dashed line

Out[11]:

[<matplotlib.lines.Line2D at 0xa1bf4a8>]

In [12]:

fig, ax = plt.subplots()

ax.plot(x, x+1, color="blue", alpha=0.5) # half-transparant
ax.plot(x, x+2, color="#8B008B")        # RGB hex code
ax.plot(x, x+3, color="#FF8C00")        # RGB hex code 

Out[12]:

[<matplotlib.lines.Line2D at 0xa22c240>]

In [22]:

fig, axes = plt.subplots(1, 3, figsize=(12, 4))

axes[0].plot(x, x**2, x, x**3)
axes[0].set_title("default axes ranges")

axes[1].plot(x, x**2, x, x**3)
axes[1].axis('tight')
axes[1].set_title("tight axes")

axes[2].plot(x, x**2, x, x**3)
axes[2].set_ylim([0, 60])
axes[2].set_xlim([0, 20])
axes[2].set_title("custom axes range");