AmirMardan

# Let's create a dataset
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri']
ordered = [30, 50, 12, 62, 80]

error = 2 + 3 * np.random.rand(len(days))

AmirMardan

with plt.xkcd(): # Activate xkcd plot
    fig = plt.figure(figsize=(3, 2))

    ax = fig.add_subplot(1, 1, 1)
    im = ax.scatter(x = x, # Data along x-direction
            y = y,  # Data along x-direction
            c = category,  # Set the color of markers based on an array
            s = importance,  # Set the size of markers based on an array
            )

AmirMardan

fig = plt.figure(figsize=(3, 2))

ax = fig.add_subplot(1, 1, 1)
im = ax.scatter(x = x, # Data along x-direction
           y = y,  # Data along x-direction
           c = category,  # Set the color of markers based on an array
           s = importance,  # Set the size of markers based on an array
           )

ax.set_xlim([0, 1.7])

AmirMardan

fig = plt.figure(figsize=(3, 2))

ax = fig.add_subplot(1, 1, 1)
im = ax.scatter(x = x, # Data along x-direction
           y = y,  # Data along x-direction
           c = category,  # Set the color of markers based on an array
           s = importance,  # Set the size of markers based on an array
           )

ax.set_xlim([0, 1.5])

AmirMardan

fig = plt.figure(figsize=(3, 2))

ax = fig.add_subplot(1, 1, 1)
ax.scatter(x=x, # Data along x-direction
           y=y  # Data along x-direction
           );

AmirMardan

# Let's generate some data

x = np.random.random((50, 1))
y = np.random.random((50, 1))
category = np.random.choice(5,
                            50)

importance = 9 + 17 * np.random.random((50, 1))

x_normal = np.random.normal(0, 2, (50, 1))

AmirMardan

plt.figure()
plt.plot()
plt.savefig('./img/saved_fig.pdf', # Path to save the file
            dpi=600, # Dot per inches
            bbox_inches="tight",  # To delete the white space around the axes
            pad_inches=0.1 # To have a padding
            )

AmirMardan

fig = plt.figure(figsize=(3, 2), 
           dpi=100, 
           facecolor='yellow' 
           )

ax1 = fig.add_subplot(1, 1, 1) # adding a subplot to figure object
ax1.plot(x1, y1, 'k')  # plot using ax object
ax1.plot(x2, y2, 'k',
         alpha=.2  # Alpha is used to create a transparent line
         )

AmirMardan

# Let's define a font style for title of plots first 
title_fontdic= {'size':9, 'color':'red', 'fontname':'Segoe Print', 'family':'serif'}


# Let's create a figure object

fig = plt.figure(figsize=(5, 2), 
           dpi=100, 
           facecolor='yellow' 
           )

AmirMardan

plt.figure(figsize=(8, 5),  # size
           dpi=200, # dpi
           facecolor='yellow' # color of background
           )
plt.plot(x1, y1)