AmirMardan

# Let's  generate some data
spread = np.random.rand(50) * 100
center = np.ones(25) * 50
flier_high = np.random.rand(10) * 100 + 100
flier_low = np.random.rand(10) * -100
data = np.concatenate((spread, center, flier_high, flier_low))

AmirMardan

     Q1-1.5IQR   Q1   median  Q3   Q3+1.5IQR
                  |-----:-----|
  o      |--------|     :     |--------|    o  o
                  |-----:-----|
outlier           <----------->            outliers
                       IQR

AmirMardan

fig = plt.figure(figsize=(3, 3))
ax= fig.add_subplot(111) 

ax.pie(ordered, labels=days,
       shadow=True, # put shadow for plot
       radius=1.1, # Radius of the pie
       autopct='%.1f',
       wedgeprops=dict(width=0.8, # Width of the wedge
                       edgecolor='#062C30',  # color of edge
                       linewidth= 2 # Thickness of edge

AmirMardan

# A simple pie chart

fig = plt.figure(figsize=(3, 3))
ax= fig.add_subplot(111) 

ax.pie(ordered, labels=days); 

AmirMardan

# Generate data
mean = [0, 0]
cov = [[1, 1], [1, 2]]

x_hsit2d, y_hsit2d = np.random.multivariate_normal(mean, cov, 10000).T

fig = plt.figure(figsize=(12, 3))

ax= fig.add_subplot(131) 
ax.hist(x=x_hsit2d)

AmirMardan

fig = plt.figure(figsize=(5, 3))

# Instead of seperating the number of rows, cols nad plot number, we can put them without seperator
ax= fig.add_subplot(221) 
ax.hist([random_letter1, random_letter2],
         color=['#39AEA9', '#F1E1A6'], # Color of face
         edgecolor='#062C30', # Color of edge
         orientation='vertical', # Vertical plot
         bins=range(5), # equal-width bins
         histtype='bar',

AmirMardan

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

# Instead of seperating the number of rows, cols nad plot number, we can put them without seperator
ax= fig.add_subplot(111) 

ax.hist(random_letter1,
         color='#39AEA9', # Color of face
         edgecolor='#062C30', # Color of edge
         orientation='horizontal', # Horizontal plot
         bins=range(5), # equal-width bins

AmirMardan

# Simple histogram
fig = plt.figure(figsize=(3, 3))

# Instead of seperating the number of rows, cols nad plot number, we can put them without seperator
ax= fig.add_subplot(111) 

# A simple bar plot
plt.hist(random_letter1);

AmirMardan

fig = plt.figure(figsize=(4, 4))
ax= fig.add_subplot(111) 

im = ax.bar(x=days,
       height=ordered, # Numeric variable
       width=0.5,  # Width of bars
       color='#39AEA9', # Color of face
       edgecolor='#062C30', # Color of edge
       alpha=.9, # Make the bars transparent 
       yerr=error # Show the error along y-axis

AmirMardan

fig = plt.figure(figsize=(4, 4))

# Instead of seperating the number of rows, cols nad plot number, we can put them without seperator
ax= fig.add_subplot(111) 

# A simple bar plot
ax.bar(x=days, # Categorical variable
       height=ordered # Numeric variable
       )