ASX Foundamental Analysis

ASX stock distributions

asxDownload
import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('asx.csv')
df.head()

plt.figure(figsize=(10, 10))
plt.xlabel('Stock number')
plt.ylabel('Industry group')
ax = df.industry_group.value_counts().plot(kind='barh', color='coral')

# create a list to collect the plt.patches data
totals = []

# find the values and append to list
for i in ax.patches:
    totals.append(i.get_width())

# set individual bar lables using above list
total = sum(totals)

# set individual bar lables using above list
for i in ax.patches:
    # get_width pulls left or right; get_y pushes up or down
    ax.text(i.get_width()+.3, i.get_y()+.38, \
            str(i.get_width()), fontsize=15, color='dimgrey')

# invert for largest on top 
ax.invert_yaxis()
ASX Stock Distribution