I have a dataframe, df, like:
continent | country | counts
------------------------------
East Asia | Hong Kong | 33
East Asia | Japan | 51
Europe | Austria | 10
Europe | Belgium | 3
Europe | Denmark | 15
I want to plot two vertical bar charts, one for each continent, side by side, sharing the same y axis. I've gotten 90% of the way, except for adding the heights of the bars to the subplots. My code so far:
continents_ls = list(set(df["continent"]))
# continents_ls = ["East Asia", "Europe"]
fig, ax = plt.subplots(1, len(continents_ls), figsize=(30, len(continents_ls)*5), sharey=True)
for i in range(len(continents_ls)):
d_temp = df.loc[df["continent"] == continents_ls[i]].groupby("country").size().to_frame().reset_index()
# d_temp is the partition containing info for just one continent
d_temp.columns = ["country", "count"] # name the 'count' column
idx = list(d_temp["country"]) # get the list of countries in that continent
ht_arr = list(d_temp["count"])
ax[i].bar(left=range(len(ht_arr)), height=ht_arr)
ax[i].set_xticks(np.arange(len(idx)))
ax[i].set_xticklabels(idx, size=8, rotation=45)
ax[i].set_title(continents_ls[i], size=23)
ax[i].set_yticklabels(ht_arr, minor=False)
plt.tight_layout()
plt.show()
I've seen examples here and there with labels, but these tend to apply to just one bar chart, not several subplots.